09 Demo: Multidimensional (N-d) arrays, xarray, ERA5 climate reanalysis data

UW Geospatial Data Analysis
CEE467/CEWA567
David Shean

Introduction

This week we are going to do some basic analysis of climate reanalysis data. This could be useful for some of your projects, especially if considering time series data.

We will use a few different products from the state-of-the-art global ERA5 reanalysis, which currently span 1950-present with hourly timestep at up to a 9 km resolution.

We will use xarray to open, combine, analyze and plot the data.

xarray

Take a moment to review this high-level introduction:

• http://xarray.pydata.org/en/stable/why-xarray.html

“xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!

Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.

Xarray is inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray’s data model, and integrates tightly with dask for parallel computing.”

Remember back to Lab03, when you tried to extract a column of elevation values from a 2D NumPy array, with something like myarray[:,4]? And then how much easier it was to do the same thing with a labeled pandas DataFrame mydf['glas_z']? Same deal here, just extended beyond 2D.

Why?

• Excellent choice for working with large datasets, as it uses lazy evaluation and parallel processing with Dask: http://xarray.pydata.org/en/stable/dask.html

• Lots of great tutorials and resources: https://xarray.pydata.org/en/stable/tutorials-and-videos.html

• Big user community

• Some feel it should be the defacto Python data science object: https://xarray.pydata.org/en/stable/getting-started-guide/why-xarray.html#goals-and-aspirations

Why not?

• General means complicated

• Steep learning curve, esp for new users unfamiliar with Pandas

• Sometimes overkill for simple problems

xarray data model overview

So, what’s an nD array? (https://numpy.org/doc/stable/reference/arrays.ndarray.html). You’ve been using them all quarter, but mostly 1D and 2D NumPy arrays.

As with many of the packages we’ve covered this quarter, vocabulary can be one of the biggest blocks to learning. Let’s discuss.

(http://xarray.pydata.org/en/latest/data-structures.html#dataset)

Comparison with Pandas

Pandas is very good at handling 2D tabular datasets (e.g., csv with columns and rows, time series of met station variables from a single station [T, precip, etc]) or a single variable across multiple stations.

• “If your data fits nicely into a pandas DataFrame then you’re better off using one of the more developed tools there.” (https://xarray.pydata.org/en/latest/user-guide/plotting.html)

• https://xarray.pydata.org/en/stable/getting-started-guide/faq.html#should-i-use-xarray-instead-of-pandas

• “pandas excels at working with tabular data. That suffices for many statistical analyses, but physical scientists rely on N-dimensional arrays – which is where xarray comes in.” (http://xarray.pydata.org/en/stable/why-xarray.html#goals-and-aspirations)

xarray extends the Pandas functionality to support 3+ dimensions (e.g., time series of 2D rasters).

xarray is to Pandas…

• xarray DataArray : Pandas DataSeries

• xarray DataSet : Pandas DataFrame

Terminology

• https://xarray.pydata.org/en/stable/user-guide/terminology.html

• https://xarray.pydata.org/en/latest/user-guide/data-structures.html#data-structures

DataArray

Four essential pieces:

• values: a numpy.ndarrays with actual data values (e.g., (‘2-m air temperature (t2m)’, ‘Total precipitation (tp)’)

• dims: dimension names for each axis (e.g., (‘lon’, ‘lat’, ‘time’))

• coords: a dict-like container of arrays that label each value in each dimension (e.g., 1-D array of x coordinates, 1-D array of y coordiantes, datetime objects or strings)

• attrs: an OrderedDict containing additional metadata (attributes)

Why do we need both dims and coords?

“Dimensions provide names that xarray uses instead of the axis argument found in many numpy functions. Coordinates enable fast label based indexing and alignment, building on the functionality of the index found on a pandas DataFrame or Series.”

Dataset

• Essentially, a collection of DataArrays (like a dictionary of DataArrays)

• http://xarray.pydata.org/en/latest/data-structures.html#dataset

Notes:

• One value in one of the contained arrays (say a single temperature measurement) usually has multiple coordinates (‘lon’, ‘lat’, ‘time’)

Useful xarray examples and references

• Indexing and selection: https://xarray.pydata.org/en/stable/user-guide/indexing.html

• Plotting: https://xarray.pydata.org/en/stable/user-guide/plotting.html

• Visualization examples: http://xarray.pydata.org/en/stable/examples/visualization_gallery.html

• Time-series analysis: https://xarray.pydata.org/en/stable/user-guide/time-series.html

• https://rabernat.github.io/research_computing/xarray.html

netCDF format

Much of the xarray design and functionality is derived from the NetCDF project:

“NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. It is also a community standard for sharing scientific data.” https://www.unidata.ucar.edu/software/netcdf/

“Data in netCDF format is:

• Self-Describing. A netCDF file includes information about the data it contains.

• Portable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.

• Scalable. Small subsets of large datasets in various formats may be accessed efficiently through netCDF interfaces, even from remote servers.

• Appendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure.

• Sharable. One writer and multiple readers may simultaneously access the same netCDF file.

• Archivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software.”

“Commonly used in climatology, meteorology and oceanography applications (e.g., weather forecasting, climate change) and GIS applications.” https://en.wikipedia.org/wiki/NetCDF

import xarray as xr
import os
import geopandas as gpd
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

Demo: Create simple DataArray

• From https://xarray.pydata.org/en/latest/user-guide/data-structures.html#data-structures

from numpy.random import RandomState
prng = RandomState(1234567890)

#data = np.random.rand(4, 3)
#Use fixed instance of random state to reduce diff as notebook is modified in future years
data = prng.rand(4, 3)
data

array([[0.61879477, 0.59162363, 0.88868359],
       [0.8916548 , 0.45756748, 0.77818808],
       [0.26706377, 0.99610621, 0.54009489],
       [0.53752161, 0.40099938, 0.70540579]])

#xr.DataArray?

xr.DataArray(data)

<xarray.DataArray (dim_0: 4, dim_1: 3)>
array([[0.61879477, 0.59162363, 0.88868359],
       [0.8916548 , 0.45756748, 0.77818808],
       [0.26706377, 0.99610621, 0.54009489],
       [0.53752161, 0.40099938, 0.70540579]])
Dimensions without coordinates: dim_0, dim_1

xarray.DataArray

• dim_0: 4
• dim_1: 3

• 0.6188 0.5916 0.8887 0.8917 0.4576 ... 0.5401 0.5375 0.401 0.7054

  array([[0.61879477, 0.59162363, 0.88868359],
         [0.8916548 , 0.45756748, 0.77818808],
         [0.26706377, 0.99610621, 0.54009489],
         [0.53752161, 0.40099938, 0.70540579]])

• Coordinates: (0)
• Indexes: (0)
• Attributes: (0)

locs = ["WA", "OR", "CA"]

times = pd.date_range("2000-01-01", periods=4)
times

DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04'], dtype='datetime64[ns]', freq='D')

foo = xr.DataArray(data, coords=[times, locs], dims=["time", "space"])

foo

<xarray.DataArray (time: 4, space: 3)>
array([[0.61879477, 0.59162363, 0.88868359],
       [0.8916548 , 0.45756748, 0.77818808],
       [0.26706377, 0.99610621, 0.54009489],
       [0.53752161, 0.40099938, 0.70540579]])
Coordinates:
  * time     (time) datetime64[ns] 2000-01-01 2000-01-02 2000-01-03 2000-01-04
  * space    (space) <U2 'WA' 'OR' 'CA'

xarray.DataArray

• time: 4
• space: 3

• 0.6188 0.5916 0.8887 0.8917 0.4576 ... 0.5401 0.5375 0.401 0.7054

  array([[0.61879477, 0.59162363, 0.88868359],
         [0.8916548 , 0.45756748, 0.77818808],
         [0.26706377, 0.99610621, 0.54009489],
         [0.53752161, 0.40099938, 0.70540579]])

• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2000-01-01 ... 2000-01-04

    array(['2000-01-01T00:00:00.000000000', '2000-01-02T00:00:00.000000000',
           '2000-01-03T00:00:00.000000000', '2000-01-04T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • space
    (space)
    <U2
    'WA' 'OR' 'CA'

    array(['WA', 'OR', 'CA'], dtype='<U2')

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04'], dtype='datetime64[ns]', name='time', freq='D'))

  • space
    PandasIndex

    PandasIndex(Index(['WA', 'OR', 'CA'], dtype='object', name='space'))

• Attributes: (0)

Indexing

• https://docs.xarray.dev/en/stable/user-guide/indexing.html

foo.values

array([[0.61879477, 0.59162363, 0.88868359],
       [0.8916548 , 0.45756748, 0.77818808],
       [0.26706377, 0.99610621, 0.54009489],
       [0.53752161, 0.40099938, 0.70540579]])

foo.shape

(4, 3)

foo[0,0]

<xarray.DataArray ()>
array(0.61879477)
Coordinates:
    time     datetime64[ns] 2000-01-01
    space    <U2 'WA'

xarray.DataArray

• 0.6188

  array(0.61879477)

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-01

    array('2000-01-01T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    ()
    <U2
    'WA'

    array('WA', dtype='<U2')

• Indexes: (0)
• Attributes: (0)

foo[0, :]

<xarray.DataArray (space: 3)>
array([0.61879477, 0.59162363, 0.88868359])
Coordinates:
    time     datetime64[ns] 2000-01-01
  * space    (space) <U2 'WA' 'OR' 'CA'

xarray.DataArray

• space: 3

• 0.6188 0.5916 0.8887

  array([0.61879477, 0.59162363, 0.88868359])

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-01

    array('2000-01-01T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    (space)
    <U2
    'WA' 'OR' 'CA'

    array(['WA', 'OR', 'CA'], dtype='<U2')

• Indexes: (1)
  • space
    PandasIndex

    PandasIndex(Index(['WA', 'OR', 'CA'], dtype='object', name='space'))

• Attributes: (0)

foo.loc['2000-01-03']

<xarray.DataArray (space: 3)>
array([0.26706377, 0.99610621, 0.54009489])
Coordinates:
    time     datetime64[ns] 2000-01-03
  * space    (space) <U2 'WA' 'OR' 'CA'

xarray.DataArray

• space: 3

• 0.2671 0.9961 0.5401

  array([0.26706377, 0.99610621, 0.54009489])

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-03

    array('2000-01-03T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    (space)
    <U2
    'WA' 'OR' 'CA'

    array(['WA', 'OR', 'CA'], dtype='<U2')

• Indexes: (1)
  • space
    PandasIndex

    PandasIndex(Index(['WA', 'OR', 'CA'], dtype='object', name='space'))

• Attributes: (0)

foo.loc[:,'WA']

<xarray.DataArray (time: 4)>
array([0.61879477, 0.8916548 , 0.26706377, 0.53752161])
Coordinates:
  * time     (time) datetime64[ns] 2000-01-01 2000-01-02 2000-01-03 2000-01-04
    space    <U2 'WA'

xarray.DataArray

• time: 4

• 0.6188 0.8917 0.2671 0.5375

  array([0.61879477, 0.8916548 , 0.26706377, 0.53752161])

• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2000-01-01 ... 2000-01-04

    array(['2000-01-01T00:00:00.000000000', '2000-01-02T00:00:00.000000000',
           '2000-01-03T00:00:00.000000000', '2000-01-04T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • space
    ()
    <U2
    'WA'

    array('WA', dtype='<U2')

• Indexes: (1)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04'], dtype='datetime64[ns]', name='time', freq='D'))

• Attributes: (0)

#This doesn't work
#foo.loc['WA', '2000-01-03']
#Axis order matters!
#foo.loc['2000-01-03', 'WA']

foo.sel(time='2000-01-03', space='WA')

<xarray.DataArray ()>
array(0.26706377)
Coordinates:
    time     datetime64[ns] 2000-01-03
    space    <U2 'WA'

xarray.DataArray

• 0.2671

  array(0.26706377)

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-03

    array('2000-01-03T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    ()
    <U2
    'WA'

    array('WA', dtype='<U2')

• Indexes: (0)
• Attributes: (0)

foo.sel(space='WA', time='2000-01-03')

<xarray.DataArray ()>
array(0.26706377)
Coordinates:
    time     datetime64[ns] 2000-01-03
    space    <U2 'WA'

xarray.DataArray

• 0.2671

  array(0.26706377)

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-03

    array('2000-01-03T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    ()
    <U2
    'WA'

    array('WA', dtype='<U2')

• Indexes: (0)
• Attributes: (0)

foo.sel(space=['WA','OR'], time='2000-01-03')

<xarray.DataArray (space: 2)>
array([0.26706377, 0.99610621])
Coordinates:
    time     datetime64[ns] 2000-01-03
  * space    (space) <U2 'WA' 'OR'

xarray.DataArray

• space: 2

• 0.2671 0.9961

  array([0.26706377, 0.99610621])

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-03

    array('2000-01-03T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    (space)
    <U2
    'WA' 'OR'

    array(['WA', 'OR'], dtype='<U2')

• Indexes: (1)
  • space
    PandasIndex

    PandasIndex(Index(['WA', 'OR'], dtype='object', name='space'))

• Attributes: (0)

#No iloc, but can select based on integer index
foo.isel(time=3, space=1)

<xarray.DataArray ()>
array(0.40099938)
Coordinates:
    time     datetime64[ns] 2000-01-04
    space    <U2 'OR'

xarray.DataArray

• 0.401

  array(0.40099938)

• Coordinates: (2)
  • time
    ()
    datetime64[ns]
    2000-01-04

    array('2000-01-04T00:00:00.000000000', dtype='datetime64[ns]')

  • space
    ()
    <U2
    'OR'

    array('OR', dtype='<U2')

• Indexes: (0)
• Attributes: (0)

Demo: Create xarray DataSet from SNOTEL data

snotel_datadir = '../08_Vector_TimeSeries_SNOTEL/snotel_data'

#SNOTEL sites (with lat/lon coordiantes) for CONUS
sites_fn = os.path.join(snotel_datadir, 'snotel_conus_sites.json')
#singlesite_pkl_fn = 'SNOTEL-SNWD_D_679_WA_SNTL.pkl'
#Snow depth DataFrame for CONUS sites
allsites_SNWD_pkl_fn = os.path.join(snotel_datadir, 'SNOTEL-SNWD_D_CONUS_all.pkl')
#Snow water equivalent DataFrame for WA
allsites_WTEQ_pkl_fn = os.path.join(snotel_datadir, 'SNOTEL-WTEQ_D_WA.pkl')

sites_gdf_all = gpd.read_file(sites_fn).set_index('index')
allsites_snwd_df = pd.read_pickle(allsites_SNWD_pkl_fn).dropna(axis=0, how='all')
allsites_wteq_df = pd.read_pickle(allsites_WTEQ_pkl_fn).dropna(axis=0, how='all')

sites_gdf_all.head()

	code	name	network	elevation_m	county	state	pos_accuracy_m	beginDate	endDate	HUC	HUD	TimeZone	actonId	shefId	stationTriplet	isActive	HUC2	HUC6	geometry
index
SNOTEL:301_CA_SNTL	301_CA_SNTL	Adin Mtn	SNOTEL	1886.712036	Modoc	California	0	10/1/1983 12:00:00 AM	1/1/2100 12:00:00 AM	180200021403	18020002	-8.0	20H13S	ADMC1	301:CA:SNTL	True	18	180200	POINT (-120.79192 41.23583)
SNOTEL:907_UT_SNTL	907_UT_SNTL	Agua Canyon	SNOTEL	2712.719971	Kane	Utah	0	10/1/1994 12:00:00 AM	1/1/2100 12:00:00 AM	160300020301	16030002	-8.0	12M26S	AGUU1	907:UT:SNTL	True	16	160300	POINT (-112.27118 37.52217)
SNOTEL:916_MT_SNTL	916_MT_SNTL	Albro Lake	SNOTEL	2529.840088	Madison	Montana	0	9/1/1996 12:00:00 AM	1/1/2100 12:00:00 AM	100200050701	10020005	-8.0	11D28S	ABRM8	916:MT:SNTL	True	10	100200	POINT (-111.95902 45.59723)
SNOTEL:908_WA_SNTL	908_WA_SNTL	Alpine Meadows	SNOTEL	1066.800049	King	Washington	0	9/1/1994 12:00:00 AM	1/1/2100 12:00:00 AM	171100100501	17110010	-8.0	21B48S	APSW1	908:WA:SNTL	True	17	171100	POINT (-121.69847 47.77957)
SNOTEL:302_OR_SNTL	302_OR_SNTL	Aneroid Lake #2	SNOTEL	2255.520020	Wallowa	Oregon	0	10/1/1980 12:00:00 AM	1/1/2100 12:00:00 AM	170601050101	17060105	-8.0	17D02S	ANRO3	302:OR:SNTL	True	17	170601	POINT (-117.19258 45.21328)

sites_gdf_all.plot();

allsites_snwd_df.tail()

	SNOTEL:301_CA_SNTL	SNOTEL:907_UT_SNTL	SNOTEL:916_MT_SNTL	SNOTEL:908_WA_SNTL	SNOTEL:302_OR_SNTL	SNOTEL:1000_OR_SNTL	SNOTEL:303_CO_SNTL	SNOTEL:1030_CO_SNTL	SNOTEL:304_OR_SNTL	SNOTEL:306_ID_SNTL	...	SNOTEL:872_WY_SNTL	SNOTEL:873_OR_SNTL	SNOTEL:874_CO_SNTL	SNOTEL:875_WY_SNTL	SNOTEL:876_MT_SNTL	SNOTEL:877_AZ_SNTL	SNOTEL:1228_UT_SNTL	SNOTEL:1197_UT_SNTL	SNOTEL:878_WY_SNTL	SNOTEL:1033_CO_SNTL
datetime
2023-02-19 00:00:00+00:00	42.0	33.0	48.0	78.0	55.0	76.0	8.0	60.0	44.0	68.0	...	27.0	48.0	88.0	29.0	25.0	26.0	39.0	37.0	35.0	63.0
2023-02-20 00:00:00+00:00	41.0	32.0	47.0	84.0	56.0	75.0	8.0	62.0	44.0	70.0	...	28.0	49.0	88.0	33.0	26.0	24.0	39.0	36.0	37.0	68.0
2023-02-21 00:00:00+00:00	40.0	31.0	46.0	86.0	55.0	73.0	10.0	61.0	43.0	71.0	...	29.0	48.0	86.0	42.0	33.0	21.0	39.0	35.0	42.0	68.0
2023-02-22 00:00:00+00:00	40.0	32.0	53.0	NaN	56.0	83.0	6.0	NaN	51.0	76.0	...	39.0	52.0	86.0	45.0	35.0	19.0	44.0	34.0	46.0	70.0
2023-02-23 00:00:00+00:00	44.0	38.0	52.0	91.0	56.0	90.0	8.0	67.0	52.0	78.0	...	NaN	57.0	98.0	44.0	33.0	23.0	45.0	41.0	45.0	73.0

5 rows × 806 columns

allsites_wteq_df.tail()

	SNOTEL:908_WA_SNTL	SNOTEL:990_WA_SNTL	SNOTEL:352_WA_SNTL	SNOTEL:1080_WA_SNTL	SNOTEL:1107_WA_SNTL	SNOTEL:375_WA_SNTL	SNOTEL:376_WA_SNTL	SNOTEL:942_WA_SNTL	SNOTEL:1109_WA_SNTL	SNOTEL:1085_WA_SNTL	...	SNOTEL:1012_WA_SNTL	SNOTEL:817_WA_SNTL	SNOTEL:899_WA_SNTL	SNOTEL:824_WA_SNTL	SNOTEL:1171_WA_SNTL	SNOTEL:832_WA_SNTL	SNOTEL:841_WA_SNTL	SNOTEL:974_WA_SNTL	SNOTEL:909_WA_SNTL	SNOTEL:863_WA_SNTL
datetime
2023-02-21 00:00:00+00:00	38.1	24.6	9.8	40.0	33.3	16.4	16.3	16.6	0.2	36.9	...	61.5	22.2	22.8	24.1	24.2	12.1	9.2	20.1	24.7	17.2
2023-02-22 00:00:00+00:00	37.7	24.8	10.2	40.5	34.2	16.7	16.9	16.4	1.1	37.2	...	62.9	22.2	23.6	24.4	24.3	12.1	9.4	20.9	25.3	17.8
2023-02-23 00:00:00+00:00	37.5	24.6	10.4	40.4	34.3	16.7	16.9	16.7	1.5	37.0	...	63.6	22.2	23.5	24.2	24.2	12.4	10.1	21.0	25.3	17.9
2023-02-24 00:00:00+00:00	37.6	24.4	10.4	40.2	34.2	16.7	16.7	16.3	1.6	37.0	...	63.5	22.0	23.5	24.1	24.1	12.4	10.2	20.9	25.2	17.8
2023-02-25 00:00:00+00:00	37.8	24.5	10.4	40.3	34.3	16.7	16.7	16.5	1.6	37.2	...	63.5	22.1	23.4	24.3	24.1	12.6	10.4	21.0	25.4	17.8

5 rows × 74 columns

Note difference in number of records and columns

• Some stations have one but not the other

• WTEQ extends farther back in time

Convert to xarray DataArrays

• Sometimes to_xarray() just works

  • https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_xarray.html

• We have a GeoDataFrame with locations, and then two separate DataFrames with timestamps and values

#Doesn't quite work for our sites
#sites_gdf_all.to_xarray()

#Doesn't quite work for our time series
#allsites_snwd_df.to_xarray()

#Function to prepare xarray DataArray for SNOTEL sites and time series
def get_DataArray(df, sites, name="SNWD_D"):
    valid_sites = sites.loc[df.columns]
    
    site_id = valid_sites.index.values
    lon = valid_sites.geometry.x.values
    lat = valid_sites.geometry.y.values
    elev = valid_sites.elevation_m.values
    site_name = valid_sites.name.values
    
    #da = xr.DataArray(df, dims=("time", "site_id"), name=name)
    da = xr.DataArray(df, dims=("time", "site_id"), coords=(df.index.values, site_id), name=name)
    #For some reason, the times are not read as datetime64 objects, so reassign
    da["time"] = df.index.values
    da = da.assign_coords(lon=("site_id", lon), lat=("site_id", lat), elev=("site_id", elev))
    return da

snwd_da = get_DataArray(allsites_snwd_df, sites_gdf_all, name="SNWD_D")

snwd_da

<xarray.DataArray 'SNWD_D' (time: 10807, site_id: 806)>
array([[nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       ...,
       [40., 31., 46., ..., 35., 42., 68.],
       [40., 32., 53., ..., 34., 46., 70.],
       [44., 38., 52., ..., 41., 45., 73.]])
Coordinates:
  * time     (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2023-02-23
  * site_id  (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'
    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6
    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79
    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03

xarray.DataArray

'SNWD_D'

• time: 10807
• site_id: 806

• nan nan nan nan nan nan nan nan ... 44.0 33.0 23.0 45.0 41.0 45.0 73.0

  array([[nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         ...,
         [40., 31., 46., ..., 35., 42., 68.],
         [40., 32., 53., ..., 34., 46., 70.],
         [44., 38., 52., ..., 41., 45., 73.]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1984-10-01 ... 2023-02-23

    array(['1984-10-01T00:00:00.000000000', '1984-10-02T00:00:00.000000000',
           '1984-10-03T00:00:00.000000000', ..., '2023-02-21T00:00:00.000000000',
           '2023-02-22T00:00:00.000000000', '2023-02-23T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:301_CA_SNTL' ... 'SNOTEL...

    array(['SNOTEL:301_CA_SNTL', 'SNOTEL:907_UT_SNTL', 'SNOTEL:916_MT_SNTL', ...,
           'SNOTEL:1197_UT_SNTL', 'SNOTEL:878_WY_SNTL', 'SNOTEL:1033_CO_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -120.8 -112.3 ... -109.8 -106.6

    array([-120.79192352, -112.2711792 , -111.95902252, -121.69847107,
           -117.19258118, -122.16517639, -105.06748962, -106.38141632,
           -119.25392151, -115.23906708, -113.02317047, -111.40643311,
           -111.38272095, -107.84442139, -109.50344086, -115.44573212,
           -115.23446655, -111.60502625, -113.13037872, -110.4454422 ,
           -112.52046967, -106.32128906, -107.26609039, -112.98191071,
           -116.14292908, -113.93797302, -115.45278168, -122.09380341,
           -105.6448288 , -116.07447815, -107.009552  , -110.82769775,
           -116.98097229, -107.06134796, -109.56742859, -107.51212311,
           -106.5114212 , -111.35852051, -111.55812836, -111.09781647,
           -109.21656799, -121.25550079, -118.21900177, -109.05711365,
           -111.94405365, -111.92102814, -114.62277985, -105.77789307,
           -112.25232697, -115.69309998, -117.1150589 , -115.79560852,
           -112.35671997, -107.20068359, -119.94219971, -122.85487366,
           -109.25965118, -123.34393311, -122.26616669, -114.64862823,
           -107.35681152, -113.99900818, -111.12802887, -111.59764862,
           -108.18364716, -105.66397095, -113.43094635, -106.71383667,
           -110.58280182, -114.35430145, -109.79332733, -121.85604858,
           -120.67960358, -110.60973358, -103.97688293, -113.50099182,
           -119.92436981, -118.51721954, -112.15348816, -116.09684753,
    ...
           -110.05780029, -122.42536926, -105.19467926, -111.62957001,
           -111.56918335, -117.85050201, -106.67680359, -108.89572144,
           -107.23619843, -105.52713776, -110.94873047, -105.23233032,
           -120.84929657, -115.43817902, -110.59140015, -120.29412079,
           -109.67279816, -120.18406677, -114.44754791, -114.50559998,
           -110.22122192, -105.57614899, -111.24909973, -107.26014709,
           -106.83535004, -106.75421906, -120.37014771, -111.50602722,
           -105.37326813, -115.98339844, -106.81362152, -106.38005829,
           -107.50679779, -116.33660126, -112.41477966, -114.8527298 ,
           -119.23432922, -107.36430359, -112.79087067, -120.21865082,
           -114.95574951, -113.16400146, -123.42594147, -106.92713928,
           -112.90155029, -121.78975677, -107.32151794, -105.54250336,
           -116.45413208, -111.09198761, -114.31021118, -105.12245178,
           -111.14997864, -106.90847778, -111.41085052, -112.14914703,
           -109.90986633, -121.38153076, -110.9884491 , -115.37921906,
           -111.88162994, -105.60247803, -109.4797287 , -112.47782898,
           -110.83515167, -106.09432983, -105.73336792, -115.0027771 ,
           -105.57816315, -118.1519165 , -106.80169678, -109.65699768,
           -112.81427765, -110.91773224, -111.35684967, -112.77494812,
           -109.81774902, -106.59535217])

  • lat
    (site_id)
    float64
    41.24 37.52 45.6 ... 43.93 40.79

    array([41.2358284 , 37.52217102, 45.597229  , 47.77957153, 45.21327972,
           42.87007141, 37.33061981, 40.35097885, 45.1908493 , 43.75690079,
           48.13087845, 34.45660019, 34.45547104, 44.80070114, 33.97882843,
           48.57120132, 44.30342102, 34.86135864, 46.09712982, 43.94018936,
           45.79737091, 36.51216125, 41.05413055, 44.47146988, 44.95222092,
           43.74367142, 41.83383942, 44.32529831, 40.31118011, 48.30577087,
           40.06153107, 40.8852005 , 44.60533142, 43.88742828, 44.94306946,
           37.71408844, 39.59917068, 44.94966125, 39.13682938, 40.61233139,
           33.69144058, 48.87929916, 45.14532089, 36.32677841, 41.37602997,
           41.38291168, 39.31917191, 39.80392075, 40.4618187 , 41.7616806 ,
           39.29148102, 44.62620926, 38.30183029, 44.57923889, 39.45500183,
           42.05257034, 42.64580154, 42.07875061, 42.40716934, 39.46138   ,
           39.76486969, 47.6838913 , 44.50831985, 38.67990112, 37.78971863,
           40.88800049, 46.41400146, 41.05615997, 40.95814133, 47.98287964,
           44.37667084, 45.42869949, 47.3503685 , 42.9640007 , 44.10771942,
           45.16506958, 38.60800171, 44.24766922, 38.94569016, 43.76377106,
           44.67887878, 42.16442108, 46.55960083, 44.83052063, 45.3642807 ,
           45.27190018, 38.50809097, 38.49745941, 45.89107132, 37.67993927,
           40.59936142, 36.31575012, 41.35884857, 40.58102036, 48.92755127,
           39.08766174, 45.04315186, 39.13399887, 40.84455872, 37.86943054,
    ...
           41.22869873, 45.07706833, 41.79299927, 40.97851944, 44.78562164,
           40.62350082, 39.23802948, 44.14424896, 44.36917114, 48.52753067,
           44.81243134, 44.02740097, 39.67712021, 40.42816925, 47.33198166,
           44.65567017, 46.34936905, 41.31869888, 43.74901962, 43.22718048,
           36.47492981, 41.89833069, 41.88573074, 46.11867905, 40.53742981,
           42.69525146, 39.99884033, 36.12778091, 40.6780014 , 37.35327911,
           48.0746994 , 43.62902832, 42.76393127, 47.23328018, 40.73899841,
           39.30086899, 46.14287186, 46.14379883, 44.15177917, 40.03279114,
           39.41550064, 37.72193909, 37.48575974, 38.99076843, 47.28733826,
           41.86425018, 37.61497116, 39.44950104, 36.02634811, 39.61676025,
           37.48509979, 44.37665176, 39.9366684 , 43.7994194 , 38.07297897,
           37.88248062, 47.9199791 , 39.13544846, 39.13241959, 46.27368164,
           47.94485092, 41.15945816, 37.57500076, 48.86610031, 37.51976013,
           35.77555847, 45.07220078, 44.65866089, 39.00994873, 37.21411133,
           44.61088181, 41.00289154, 44.53266907, 35.14202118, 45.04574966,
           46.64141846, 39.96450043, 38.9455719 , 37.83633041, 40.2010498 ,
           33.75835037, 42.75743103, 42.81512833, 40.34703064, 40.43254089,
           42.01256943, 42.28020096, 45.06703186, 37.47922134, 44.8041687 ,
           47.44847107, 33.81241989, 39.13233185, 37.74797058, 43.93225098,
           40.79487991])

  • elev
    (site_id)
    float64
    1.887e+03 2.713e+03 ... 2.847e+03

    array([1886.71203613, 2712.7199707 , 2529.84008789, 1066.80004883,
           2255.52001953, 1831.84802246, 3048.        , 3340.60791016,
           1758.69604492, 2310.3840332 , 2103.12011719, 2225.04003906,
           2346.95996094, 2859.02392578, 2781.30004883, 1706.88000488,
           2145.79199219, 1948.58642578, 2514.60009766, 2151.88793945,
           2188.46411133, 2834.63989258, 2267.71191406, 2697.47998047,
           1630.68005371, 2407.91992188, 2450.59204102, 1438.65600586,
           2895.60009766, 1645.92004395, 2767.58398438, 2675.22949219,
           1883.66394043, 2499.36010742, 2852.92797852, 3535.67993164,
           2590.80004883, 2392.67993164, 2435.35205078, 2523.74389648,
           2435.35205078, 1106.4239502 , 1569.7199707 , 2804.15991211,
           2343.60717773, 1820.265625  , 2858.10961914, 3444.23999023,
           1987.29602051, 2102.51049805, 2647.18798828, 1999.48803711,
           3154.37524414, 2435.35205078, 2510.02807617, 1844.04003906,
           2767.58398438, 1563.62402344, 1609.34399414, 2297.27758789,
           3316.22412109, 1499.6159668 , 2490.21606445, 2869.38720703,
           3529.58398438, 2718.81591797, 2197.60791016, 2993.13598633,
           2703.27124023, 1722.11999512, 2980.9440918 , 1112.52001953,
           1292.35205078, 2636.52001953, 2100.07202148, 2316.47998047,
           2458.8215332 , 1789.17602539, 2840.43115234, 1932.43200684,
    ...
           2919.98388672,  987.55200195, 3102.86401367, 2582.87524414,
           1929.99365234, 1685.54394531, 3200.39990234, 2651.76000977,
           2956.56005859, 2621.2800293 , 3045.56152344, 3310.12792969,
            893.06402588, 2368.29589844, 2590.80004883, 1670.30395508,
           2901.08642578, 1983.9432373 , 1706.88000488, 1950.7199707 ,
           2816.35205078, 3139.43994141, 2620.06079102, 2865.12011719,
           3108.95996094, 3243.07202148, 1319.78405762, 2520.69604492,
           3246.12011719, 2404.87207031, 2836.46875   , 3139.43994141,
           3316.22412109, 1499.6159668 , 2255.82470703, 2731.00805664,
           2878.8359375 , 3383.2800293 , 1706.88000488, 2055.87597656,
           2804.15991211, 2377.43994141, 1527.04797363, 2819.39990234,
           2805.07446289, 1228.34399414, 3273.55200195, 3389.37597656,
           1694.68798828, 2042.16003418, 3066.28808594, 3115.0559082 ,
           2072.63989258, 2727.95996094, 2350.00805664, 2188.46411133,
           2651.76000977, 1353.31201172, 2633.77685547, 2245.46166992,
           2938.27197266, 2913.88793945, 2392.67993164, 1978.15197754,
           2462.78393555, 2907.79199219, 3261.36010742, 2170.17602539,
           2407.91992188, 1716.02404785, 3352.80004883, 2331.7199707 ,
           1816.60803223, 2103.12011719, 2842.86962891, 2649.3215332 ,
           2545.08007812, 2846.83203125])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1984-10-01', '1984-10-02', '1984-10-03', '1984-10-04',
                   '1984-10-13', '1984-10-18', '1984-11-07', '1984-11-14',
                   '1985-03-10', '1985-03-11',
                   ...
                   '2023-02-14', '2023-02-15', '2023-02-16', '2023-02-17',
                   '2023-02-18', '2023-02-19', '2023-02-20', '2023-02-21',
                   '2023-02-22', '2023-02-23'],
                  dtype='datetime64[ns]', name='time', length=10807, freq=None))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:301_CA_SNTL', 'SNOTEL:907_UT_SNTL', 'SNOTEL:916_MT_SNTL',
           'SNOTEL:908_WA_SNTL', 'SNOTEL:302_OR_SNTL', 'SNOTEL:1000_OR_SNTL',
           'SNOTEL:303_CO_SNTL', 'SNOTEL:1030_CO_SNTL', 'SNOTEL:304_OR_SNTL',
           'SNOTEL:306_ID_SNTL',
           ...
           'SNOTEL:872_WY_SNTL', 'SNOTEL:873_OR_SNTL', 'SNOTEL:874_CO_SNTL',
           'SNOTEL:875_WY_SNTL', 'SNOTEL:876_MT_SNTL', 'SNOTEL:877_AZ_SNTL',
           'SNOTEL:1228_UT_SNTL', 'SNOTEL:1197_UT_SNTL', 'SNOTEL:878_WY_SNTL',
           'SNOTEL:1033_CO_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

Add some attributes

snwd_da.attrs['description'] = 'SNOTEL snow depth measurements (SNWD_D)'
snwd_da.attrs['units'] = 'inches'

snwd_da

<xarray.DataArray 'SNWD_D' (time: 10807, site_id: 806)>
array([[nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       ...,
       [40., 31., 46., ..., 35., 42., 68.],
       [40., 32., 53., ..., 34., 46., 70.],
       [44., 38., 52., ..., 41., 45., 73.]])
Coordinates:
  * time     (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2023-02-23
  * site_id  (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'
    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6
    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79
    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03
Attributes:
    description:  SNOTEL snow depth measurements (SNWD_D)
    units:        inches

xarray.DataArray

'SNWD_D'

• time: 10807
• site_id: 806

• nan nan nan nan nan nan nan nan ... 44.0 33.0 23.0 45.0 41.0 45.0 73.0

  array([[nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         ...,
         [40., 31., 46., ..., 35., 42., 68.],
         [40., 32., 53., ..., 34., 46., 70.],
         [44., 38., 52., ..., 41., 45., 73.]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1984-10-01 ... 2023-02-23

    array(['1984-10-01T00:00:00.000000000', '1984-10-02T00:00:00.000000000',
           '1984-10-03T00:00:00.000000000', ..., '2023-02-21T00:00:00.000000000',
           '2023-02-22T00:00:00.000000000', '2023-02-23T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:301_CA_SNTL' ... 'SNOTEL...

    array(['SNOTEL:301_CA_SNTL', 'SNOTEL:907_UT_SNTL', 'SNOTEL:916_MT_SNTL', ...,
           'SNOTEL:1197_UT_SNTL', 'SNOTEL:878_WY_SNTL', 'SNOTEL:1033_CO_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -120.8 -112.3 ... -109.8 -106.6

    array([-120.79192352, -112.2711792 , -111.95902252, -121.69847107,
           -117.19258118, -122.16517639, -105.06748962, -106.38141632,
           -119.25392151, -115.23906708, -113.02317047, -111.40643311,
           -111.38272095, -107.84442139, -109.50344086, -115.44573212,
           -115.23446655, -111.60502625, -113.13037872, -110.4454422 ,
           -112.52046967, -106.32128906, -107.26609039, -112.98191071,
           -116.14292908, -113.93797302, -115.45278168, -122.09380341,
           -105.6448288 , -116.07447815, -107.009552  , -110.82769775,
           -116.98097229, -107.06134796, -109.56742859, -107.51212311,
           -106.5114212 , -111.35852051, -111.55812836, -111.09781647,
           -109.21656799, -121.25550079, -118.21900177, -109.05711365,
           -111.94405365, -111.92102814, -114.62277985, -105.77789307,
           -112.25232697, -115.69309998, -117.1150589 , -115.79560852,
           -112.35671997, -107.20068359, -119.94219971, -122.85487366,
           -109.25965118, -123.34393311, -122.26616669, -114.64862823,
           -107.35681152, -113.99900818, -111.12802887, -111.59764862,
           -108.18364716, -105.66397095, -113.43094635, -106.71383667,
           -110.58280182, -114.35430145, -109.79332733, -121.85604858,
           -120.67960358, -110.60973358, -103.97688293, -113.50099182,
           -119.92436981, -118.51721954, -112.15348816, -116.09684753,
    ...
           -110.05780029, -122.42536926, -105.19467926, -111.62957001,
           -111.56918335, -117.85050201, -106.67680359, -108.89572144,
           -107.23619843, -105.52713776, -110.94873047, -105.23233032,
           -120.84929657, -115.43817902, -110.59140015, -120.29412079,
           -109.67279816, -120.18406677, -114.44754791, -114.50559998,
           -110.22122192, -105.57614899, -111.24909973, -107.26014709,
           -106.83535004, -106.75421906, -120.37014771, -111.50602722,
           -105.37326813, -115.98339844, -106.81362152, -106.38005829,
           -107.50679779, -116.33660126, -112.41477966, -114.8527298 ,
           -119.23432922, -107.36430359, -112.79087067, -120.21865082,
           -114.95574951, -113.16400146, -123.42594147, -106.92713928,
           -112.90155029, -121.78975677, -107.32151794, -105.54250336,
           -116.45413208, -111.09198761, -114.31021118, -105.12245178,
           -111.14997864, -106.90847778, -111.41085052, -112.14914703,
           -109.90986633, -121.38153076, -110.9884491 , -115.37921906,
           -111.88162994, -105.60247803, -109.4797287 , -112.47782898,
           -110.83515167, -106.09432983, -105.73336792, -115.0027771 ,
           -105.57816315, -118.1519165 , -106.80169678, -109.65699768,
           -112.81427765, -110.91773224, -111.35684967, -112.77494812,
           -109.81774902, -106.59535217])

  • lat
    (site_id)
    float64
    41.24 37.52 45.6 ... 43.93 40.79

    array([41.2358284 , 37.52217102, 45.597229  , 47.77957153, 45.21327972,
           42.87007141, 37.33061981, 40.35097885, 45.1908493 , 43.75690079,
           48.13087845, 34.45660019, 34.45547104, 44.80070114, 33.97882843,
           48.57120132, 44.30342102, 34.86135864, 46.09712982, 43.94018936,
           45.79737091, 36.51216125, 41.05413055, 44.47146988, 44.95222092,
           43.74367142, 41.83383942, 44.32529831, 40.31118011, 48.30577087,
           40.06153107, 40.8852005 , 44.60533142, 43.88742828, 44.94306946,
           37.71408844, 39.59917068, 44.94966125, 39.13682938, 40.61233139,
           33.69144058, 48.87929916, 45.14532089, 36.32677841, 41.37602997,
           41.38291168, 39.31917191, 39.80392075, 40.4618187 , 41.7616806 ,
           39.29148102, 44.62620926, 38.30183029, 44.57923889, 39.45500183,
           42.05257034, 42.64580154, 42.07875061, 42.40716934, 39.46138   ,
           39.76486969, 47.6838913 , 44.50831985, 38.67990112, 37.78971863,
           40.88800049, 46.41400146, 41.05615997, 40.95814133, 47.98287964,
           44.37667084, 45.42869949, 47.3503685 , 42.9640007 , 44.10771942,
           45.16506958, 38.60800171, 44.24766922, 38.94569016, 43.76377106,
           44.67887878, 42.16442108, 46.55960083, 44.83052063, 45.3642807 ,
           45.27190018, 38.50809097, 38.49745941, 45.89107132, 37.67993927,
           40.59936142, 36.31575012, 41.35884857, 40.58102036, 48.92755127,
           39.08766174, 45.04315186, 39.13399887, 40.84455872, 37.86943054,
    ...
           41.22869873, 45.07706833, 41.79299927, 40.97851944, 44.78562164,
           40.62350082, 39.23802948, 44.14424896, 44.36917114, 48.52753067,
           44.81243134, 44.02740097, 39.67712021, 40.42816925, 47.33198166,
           44.65567017, 46.34936905, 41.31869888, 43.74901962, 43.22718048,
           36.47492981, 41.89833069, 41.88573074, 46.11867905, 40.53742981,
           42.69525146, 39.99884033, 36.12778091, 40.6780014 , 37.35327911,
           48.0746994 , 43.62902832, 42.76393127, 47.23328018, 40.73899841,
           39.30086899, 46.14287186, 46.14379883, 44.15177917, 40.03279114,
           39.41550064, 37.72193909, 37.48575974, 38.99076843, 47.28733826,
           41.86425018, 37.61497116, 39.44950104, 36.02634811, 39.61676025,
           37.48509979, 44.37665176, 39.9366684 , 43.7994194 , 38.07297897,
           37.88248062, 47.9199791 , 39.13544846, 39.13241959, 46.27368164,
           47.94485092, 41.15945816, 37.57500076, 48.86610031, 37.51976013,
           35.77555847, 45.07220078, 44.65866089, 39.00994873, 37.21411133,
           44.61088181, 41.00289154, 44.53266907, 35.14202118, 45.04574966,
           46.64141846, 39.96450043, 38.9455719 , 37.83633041, 40.2010498 ,
           33.75835037, 42.75743103, 42.81512833, 40.34703064, 40.43254089,
           42.01256943, 42.28020096, 45.06703186, 37.47922134, 44.8041687 ,
           47.44847107, 33.81241989, 39.13233185, 37.74797058, 43.93225098,
           40.79487991])

  • elev
    (site_id)
    float64
    1.887e+03 2.713e+03 ... 2.847e+03

    array([1886.71203613, 2712.7199707 , 2529.84008789, 1066.80004883,
           2255.52001953, 1831.84802246, 3048.        , 3340.60791016,
           1758.69604492, 2310.3840332 , 2103.12011719, 2225.04003906,
           2346.95996094, 2859.02392578, 2781.30004883, 1706.88000488,
           2145.79199219, 1948.58642578, 2514.60009766, 2151.88793945,
           2188.46411133, 2834.63989258, 2267.71191406, 2697.47998047,
           1630.68005371, 2407.91992188, 2450.59204102, 1438.65600586,
           2895.60009766, 1645.92004395, 2767.58398438, 2675.22949219,
           1883.66394043, 2499.36010742, 2852.92797852, 3535.67993164,
           2590.80004883, 2392.67993164, 2435.35205078, 2523.74389648,
           2435.35205078, 1106.4239502 , 1569.7199707 , 2804.15991211,
           2343.60717773, 1820.265625  , 2858.10961914, 3444.23999023,
           1987.29602051, 2102.51049805, 2647.18798828, 1999.48803711,
           3154.37524414, 2435.35205078, 2510.02807617, 1844.04003906,
           2767.58398438, 1563.62402344, 1609.34399414, 2297.27758789,
           3316.22412109, 1499.6159668 , 2490.21606445, 2869.38720703,
           3529.58398438, 2718.81591797, 2197.60791016, 2993.13598633,
           2703.27124023, 1722.11999512, 2980.9440918 , 1112.52001953,
           1292.35205078, 2636.52001953, 2100.07202148, 2316.47998047,
           2458.8215332 , 1789.17602539, 2840.43115234, 1932.43200684,
    ...
           2919.98388672,  987.55200195, 3102.86401367, 2582.87524414,
           1929.99365234, 1685.54394531, 3200.39990234, 2651.76000977,
           2956.56005859, 2621.2800293 , 3045.56152344, 3310.12792969,
            893.06402588, 2368.29589844, 2590.80004883, 1670.30395508,
           2901.08642578, 1983.9432373 , 1706.88000488, 1950.7199707 ,
           2816.35205078, 3139.43994141, 2620.06079102, 2865.12011719,
           3108.95996094, 3243.07202148, 1319.78405762, 2520.69604492,
           3246.12011719, 2404.87207031, 2836.46875   , 3139.43994141,
           3316.22412109, 1499.6159668 , 2255.82470703, 2731.00805664,
           2878.8359375 , 3383.2800293 , 1706.88000488, 2055.87597656,
           2804.15991211, 2377.43994141, 1527.04797363, 2819.39990234,
           2805.07446289, 1228.34399414, 3273.55200195, 3389.37597656,
           1694.68798828, 2042.16003418, 3066.28808594, 3115.0559082 ,
           2072.63989258, 2727.95996094, 2350.00805664, 2188.46411133,
           2651.76000977, 1353.31201172, 2633.77685547, 2245.46166992,
           2938.27197266, 2913.88793945, 2392.67993164, 1978.15197754,
           2462.78393555, 2907.79199219, 3261.36010742, 2170.17602539,
           2407.91992188, 1716.02404785, 3352.80004883, 2331.7199707 ,
           1816.60803223, 2103.12011719, 2842.86962891, 2649.3215332 ,
           2545.08007812, 2846.83203125])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1984-10-01', '1984-10-02', '1984-10-03', '1984-10-04',
                   '1984-10-13', '1984-10-18', '1984-11-07', '1984-11-14',
                   '1985-03-10', '1985-03-11',
                   ...
                   '2023-02-14', '2023-02-15', '2023-02-16', '2023-02-17',
                   '2023-02-18', '2023-02-19', '2023-02-20', '2023-02-21',
                   '2023-02-22', '2023-02-23'],
                  dtype='datetime64[ns]', name='time', length=10807, freq=None))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:301_CA_SNTL', 'SNOTEL:907_UT_SNTL', 'SNOTEL:916_MT_SNTL',
           'SNOTEL:908_WA_SNTL', 'SNOTEL:302_OR_SNTL', 'SNOTEL:1000_OR_SNTL',
           'SNOTEL:303_CO_SNTL', 'SNOTEL:1030_CO_SNTL', 'SNOTEL:304_OR_SNTL',
           'SNOTEL:306_ID_SNTL',
           ...
           'SNOTEL:872_WY_SNTL', 'SNOTEL:873_OR_SNTL', 'SNOTEL:874_CO_SNTL',
           'SNOTEL:875_WY_SNTL', 'SNOTEL:876_MT_SNTL', 'SNOTEL:877_AZ_SNTL',
           'SNOTEL:1228_UT_SNTL', 'SNOTEL:1197_UT_SNTL', 'SNOTEL:878_WY_SNTL',
           'SNOTEL:1033_CO_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (2)

  description :

  SNOTEL snow depth measurements (SNWD_D)

  units :

  inches

#Prepare a separate Data Array for the WTEQ_D data
wteq_da = get_DataArray(allsites_wteq_df, sites_gdf_all, name="WTEQ_D")

wteq_da

<xarray.DataArray 'WTEQ_D' (time: 16219, site_id: 74)>
array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       ...,
       [37.5, 24.6, 10.4, ..., 21. , 25.3, 17.9],
       [37.6, 24.4, 10.4, ..., 20.9, 25.2, 17.8],
       [37.8, 24.5, 10.4, ..., 21. , 25.4, 17.8]])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:908_WA_SNTL' ... 'SNOTEL:863_WA_SNTL'
    lon      (site_id) float64 -121.7 -121.3 -120.7 ... -123.4 -121.8 -121.4
    lat      (site_id) float64 47.78 48.88 47.35 48.93 ... 47.94 48.87 46.64
    elev     (site_id) float64 1.067e+03 1.106e+03 ... 1.228e+03 1.353e+03

xarray.DataArray

'WTEQ_D'

• time: 16219
• site_id: 74

• nan nan nan nan nan 0.0 nan nan ... 24.3 24.1 12.6 10.4 21.0 25.4 17.8

  array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         ...,
         [37.5, 24.6, 10.4, ..., 21. , 25.3, 17.9],
         [37.6, 24.4, 10.4, ..., 20.9, 25.2, 17.8],
         [37.8, 24.5, 10.4, ..., 21. , 25.4, 17.8]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:908_WA_SNTL' ... 'SNOTEL...

    array(['SNOTEL:908_WA_SNTL', 'SNOTEL:990_WA_SNTL', 'SNOTEL:352_WA_SNTL',
           'SNOTEL:1080_WA_SNTL', 'SNOTEL:1107_WA_SNTL', 'SNOTEL:375_WA_SNTL',
           'SNOTEL:376_WA_SNTL', 'SNOTEL:942_WA_SNTL', 'SNOTEL:1109_WA_SNTL',
           'SNOTEL:1085_WA_SNTL', 'SNOTEL:418_WA_SNTL', 'SNOTEL:420_WA_SNTL',
           'SNOTEL:943_WA_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:910_WA_SNTL',
           'SNOTEL:478_WA_SNTL', 'SNOTEL:1159_WA_SNTL', 'SNOTEL:1256_WA_SNTL',
           'SNOTEL:502_WA_SNTL', 'SNOTEL:507_WA_SNTL', 'SNOTEL:515_WA_SNTL',
           'SNOTEL:928_WA_SNTL', 'SNOTEL:1129_WA_SNTL', 'SNOTEL:553_WA_SNTL',
           'SNOTEL:591_WA_SNTL', 'SNOTEL:599_WA_SNTL', 'SNOTEL:606_WA_SNTL',
           'SNOTEL:1069_WA_SNTL', 'SNOTEL:999_WA_SNTL', 'SNOTEL:897_WA_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:642_WA_SNTL', 'SNOTEL:644_WA_SNTL',
           'SNOTEL:648_WA_SNTL', 'SNOTEL:898_WA_SNTL', 'SNOTEL:941_WA_SNTL',
           'SNOTEL:1259_WA_SNTL', 'SNOTEL:672_WA_SNTL', 'SNOTEL:679_WA_SNTL',
           'SNOTEL:681_WA_SNTL', 'SNOTEL:1104_WA_SNTL', 'SNOTEL:692_WA_SNTL',
           'SNOTEL:1263_WA_SNTL', 'SNOTEL:699_WA_SNTL', 'SNOTEL:702_WA_SNTL',
           'SNOTEL:707_WA_SNTL', 'SNOTEL:711_WA_SNTL', 'SNOTEL:911_WA_SNTL',
           'SNOTEL:728_WA_SNTL', 'SNOTEL:734_WA_SNTL', 'SNOTEL:1231_WA_SNTL',
           'SNOTEL:1068_WA_SNTL', 'SNOTEL:1043_WA_SNTL', 'SNOTEL:748_WA_SNTL',
           'SNOTEL:1257_WA_SNTL', 'SNOTEL:912_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:776_WA_SNTL', 'SNOTEL:777_WA_SNTL', 'SNOTEL:984_WA_SNTL',
           'SNOTEL:788_WA_SNTL', 'SNOTEL:791_WA_SNTL', 'SNOTEL:804_WA_SNTL',
           'SNOTEL:975_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:817_WA_SNTL',
           'SNOTEL:899_WA_SNTL', 'SNOTEL:824_WA_SNTL', 'SNOTEL:1171_WA_SNTL',
           'SNOTEL:832_WA_SNTL', 'SNOTEL:841_WA_SNTL', 'SNOTEL:974_WA_SNTL',
           'SNOTEL:909_WA_SNTL', 'SNOTEL:863_WA_SNTL'], dtype=object)

  • lon
    (site_id)
    float64
    -121.7 -121.3 ... -121.8 -121.4

    array([-121.69847107, -121.25550079, -120.67960358, -121.1971283 ,
           -123.45747375, -121.33058167, -117.17633057, -121.94032288,
           -122.21633148, -121.53430176, -121.46463776, -121.67137909,
           -123.07879639, -121.43894958, -121.90892792, -121.08553314,
           -118.98639679, -118.4559021 , -121.17092896, -120.48770905,
           -120.65859985, -121.58778381, -120.80767059, -122.15412903,
           -121.962883  , -121.08094788, -120.91677856, -121.77971649,
           -121.69822693, -121.4719696 , -121.92951202, -121.48269653,
           -119.08158875, -123.02600098, -121.56812286, -121.95231628,
           -119.86624146, -121.44213104, -121.74765015, -120.91551208,
           -121.95555115, -121.38642883, -121.94219208, -120.56622314,
           -121.51435089, -117.08937836, -120.7358017 , -121.60475159,
           -119.83830261, -121.06323242, -120.67733765, -121.42172241,
           -118.39842987, -122.25392914, -121.83043671, -121.61006927,
           -117.39437866, -121.92661285, -122.17720032, -117.54154968,
           -121.3416214 , -121.09288025, -121.76345062, -120.78266907,
           -122.184021  , -120.98950195, -121.46974945, -117.85050201,
           -120.84929657, -120.29412079, -120.37014771, -123.42594147,
           -121.78975677, -121.38153076])

  • lat
    (site_id)
    float64
    47.78 48.88 47.35 ... 48.87 46.64

    array([47.77957153, 48.87929916, 47.3503685 , 48.92755127, 47.70859909,
           46.81003189, 48.6868782 , 47.04439926, 45.90362167, 46.86954117,
           47.01871872, 47.27666092, 47.87223816, 48.85932922, 48.69092178,
           47.53564835, 48.95159912, 48.18933868, 46.54740906, 47.28107071,
           48.72047043, 47.06565094, 45.99076843, 46.14778137, 46.27143097,
           46.35749817, 48.19797897, 47.20172119, 48.76292038, 47.2831192 ,
           48.82453156, 46.90584946, 48.36162949, 47.76369858, 47.35768127,
           46.92832947, 48.58525848, 47.37406158, 46.78264999, 48.44488144,
           46.10242081, 46.62152863, 46.32318115, 47.99089813, 46.34962845,
           47.87926865, 48.51865005, 47.30218124, 48.65518188, 47.38484955,
           45.98796844, 47.15991974, 48.86132812, 46.19324875, 46.64336014,
           47.68432999, 46.2371788 , 46.17950058, 46.26113129, 46.18286896,
           47.2742691 , 47.74607086, 46.0949707 , 48.57141876, 46.16379929,
           48.52753067, 47.33198166, 46.11867905, 48.0746994 , 47.23328018,
           47.28733826, 47.94485092, 48.86610031, 46.64141846])

  • elev
    (site_id)
    float64
    1.067e+03 1.106e+03 ... 1.353e+03

    array([1066.80004883, 1106.4239502 , 1292.35205078, 1776.98400879,
           1484.37597656, 1405.12805176, 1524.        , 1271.01599121,
            762.        , 1597.15197754, 1767.83996582,  975.35998535,
           1222.24804688, 1606.29602051,  926.59197998, 1045.46398926,
           1633.72802734, 1338.07202148, 1804.41601562, 1642.87194824,
           1978.15197754,  685.79998779, 1633.72802734, 1048.51196289,
           1197.86401367, 1560.5760498 , 1822.70397949, 1188.7199707 ,
           1072.89599609,  984.50402832, 1514.85595703, 1648.96801758,
           1527.04797363, 1207.00805664,  890.01599121,  963.16802979,
           1362.45605469, 1228.34399414, 1563.62402344, 1402.07995605,
            652.27197266, 1767.83996582, 1353.31201172, 1094.23205566,
           1374.64794922, 1432.56005859, 1490.4720459 , 1161.28796387,
           1359.40795898, 1322.83203125, 1207.00805664, 1414.27197266,
           1426.46398926, 1216.15197754, 1149.09594727, 1008.88800049,
           1219.19995117, 1036.31994629, 1072.89599609, 1737.35998535,
           1173.47998047, 1203.95996094, 1307.59204102, 1197.86401367,
           1353.31201172, 1316.73596191,  911.35198975, 1685.54394531,
            893.06402588, 1670.30395508, 1319.78405762, 1527.04797363,
           1228.34399414, 1353.31201172])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq=None))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:908_WA_SNTL', 'SNOTEL:990_WA_SNTL', 'SNOTEL:352_WA_SNTL',
           'SNOTEL:1080_WA_SNTL', 'SNOTEL:1107_WA_SNTL', 'SNOTEL:375_WA_SNTL',
           'SNOTEL:376_WA_SNTL', 'SNOTEL:942_WA_SNTL', 'SNOTEL:1109_WA_SNTL',
           'SNOTEL:1085_WA_SNTL', 'SNOTEL:418_WA_SNTL', 'SNOTEL:420_WA_SNTL',
           'SNOTEL:943_WA_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:910_WA_SNTL',
           'SNOTEL:478_WA_SNTL', 'SNOTEL:1159_WA_SNTL', 'SNOTEL:1256_WA_SNTL',
           'SNOTEL:502_WA_SNTL', 'SNOTEL:507_WA_SNTL', 'SNOTEL:515_WA_SNTL',
           'SNOTEL:928_WA_SNTL', 'SNOTEL:1129_WA_SNTL', 'SNOTEL:553_WA_SNTL',
           'SNOTEL:591_WA_SNTL', 'SNOTEL:599_WA_SNTL', 'SNOTEL:606_WA_SNTL',
           'SNOTEL:1069_WA_SNTL', 'SNOTEL:999_WA_SNTL', 'SNOTEL:897_WA_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:642_WA_SNTL', 'SNOTEL:644_WA_SNTL',
           'SNOTEL:648_WA_SNTL', 'SNOTEL:898_WA_SNTL', 'SNOTEL:941_WA_SNTL',
           'SNOTEL:1259_WA_SNTL', 'SNOTEL:672_WA_SNTL', 'SNOTEL:679_WA_SNTL',
           'SNOTEL:681_WA_SNTL', 'SNOTEL:1104_WA_SNTL', 'SNOTEL:692_WA_SNTL',
           'SNOTEL:1263_WA_SNTL', 'SNOTEL:699_WA_SNTL', 'SNOTEL:702_WA_SNTL',
           'SNOTEL:707_WA_SNTL', 'SNOTEL:711_WA_SNTL', 'SNOTEL:911_WA_SNTL',
           'SNOTEL:728_WA_SNTL', 'SNOTEL:734_WA_SNTL', 'SNOTEL:1231_WA_SNTL',
           'SNOTEL:1068_WA_SNTL', 'SNOTEL:1043_WA_SNTL', 'SNOTEL:748_WA_SNTL',
           'SNOTEL:1257_WA_SNTL', 'SNOTEL:912_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:776_WA_SNTL', 'SNOTEL:777_WA_SNTL', 'SNOTEL:984_WA_SNTL',
           'SNOTEL:788_WA_SNTL', 'SNOTEL:791_WA_SNTL', 'SNOTEL:804_WA_SNTL',
           'SNOTEL:975_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:817_WA_SNTL',
           'SNOTEL:899_WA_SNTL', 'SNOTEL:824_WA_SNTL', 'SNOTEL:1171_WA_SNTL',
           'SNOTEL:832_WA_SNTL', 'SNOTEL:841_WA_SNTL', 'SNOTEL:974_WA_SNTL',
           'SNOTEL:909_WA_SNTL', 'SNOTEL:863_WA_SNTL'],
          dtype='object', name='site_id'))

• Attributes: (0)

wteq_da.attrs['description'] = 'SNOTEL snow water equivalent measurements (WTEQ_D)'
wteq_da.attrs['units'] = 'inches w.e.'

wteq_da

<xarray.DataArray 'WTEQ_D' (time: 16219, site_id: 74)>
array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       ...,
       [37.5, 24.6, 10.4, ..., 21. , 25.3, 17.9],
       [37.6, 24.4, 10.4, ..., 20.9, 25.2, 17.8],
       [37.8, 24.5, 10.4, ..., 21. , 25.4, 17.8]])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:908_WA_SNTL' ... 'SNOTEL:863_WA_SNTL'
    lon      (site_id) float64 -121.7 -121.3 -120.7 ... -123.4 -121.8 -121.4
    lat      (site_id) float64 47.78 48.88 47.35 48.93 ... 47.94 48.87 46.64
    elev     (site_id) float64 1.067e+03 1.106e+03 ... 1.228e+03 1.353e+03
Attributes:
    description:  SNOTEL snow water equivalent measurements (WTEQ_D)
    units:        inches w.e.

xarray.DataArray

'WTEQ_D'

• time: 16219
• site_id: 74

• nan nan nan nan nan 0.0 nan nan ... 24.3 24.1 12.6 10.4 21.0 25.4 17.8

  array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         ...,
         [37.5, 24.6, 10.4, ..., 21. , 25.3, 17.9],
         [37.6, 24.4, 10.4, ..., 20.9, 25.2, 17.8],
         [37.8, 24.5, 10.4, ..., 21. , 25.4, 17.8]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:908_WA_SNTL' ... 'SNOTEL...

    array(['SNOTEL:908_WA_SNTL', 'SNOTEL:990_WA_SNTL', 'SNOTEL:352_WA_SNTL',
           'SNOTEL:1080_WA_SNTL', 'SNOTEL:1107_WA_SNTL', 'SNOTEL:375_WA_SNTL',
           'SNOTEL:376_WA_SNTL', 'SNOTEL:942_WA_SNTL', 'SNOTEL:1109_WA_SNTL',
           'SNOTEL:1085_WA_SNTL', 'SNOTEL:418_WA_SNTL', 'SNOTEL:420_WA_SNTL',
           'SNOTEL:943_WA_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:910_WA_SNTL',
           'SNOTEL:478_WA_SNTL', 'SNOTEL:1159_WA_SNTL', 'SNOTEL:1256_WA_SNTL',
           'SNOTEL:502_WA_SNTL', 'SNOTEL:507_WA_SNTL', 'SNOTEL:515_WA_SNTL',
           'SNOTEL:928_WA_SNTL', 'SNOTEL:1129_WA_SNTL', 'SNOTEL:553_WA_SNTL',
           'SNOTEL:591_WA_SNTL', 'SNOTEL:599_WA_SNTL', 'SNOTEL:606_WA_SNTL',
           'SNOTEL:1069_WA_SNTL', 'SNOTEL:999_WA_SNTL', 'SNOTEL:897_WA_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:642_WA_SNTL', 'SNOTEL:644_WA_SNTL',
           'SNOTEL:648_WA_SNTL', 'SNOTEL:898_WA_SNTL', 'SNOTEL:941_WA_SNTL',
           'SNOTEL:1259_WA_SNTL', 'SNOTEL:672_WA_SNTL', 'SNOTEL:679_WA_SNTL',
           'SNOTEL:681_WA_SNTL', 'SNOTEL:1104_WA_SNTL', 'SNOTEL:692_WA_SNTL',
           'SNOTEL:1263_WA_SNTL', 'SNOTEL:699_WA_SNTL', 'SNOTEL:702_WA_SNTL',
           'SNOTEL:707_WA_SNTL', 'SNOTEL:711_WA_SNTL', 'SNOTEL:911_WA_SNTL',
           'SNOTEL:728_WA_SNTL', 'SNOTEL:734_WA_SNTL', 'SNOTEL:1231_WA_SNTL',
           'SNOTEL:1068_WA_SNTL', 'SNOTEL:1043_WA_SNTL', 'SNOTEL:748_WA_SNTL',
           'SNOTEL:1257_WA_SNTL', 'SNOTEL:912_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:776_WA_SNTL', 'SNOTEL:777_WA_SNTL', 'SNOTEL:984_WA_SNTL',
           'SNOTEL:788_WA_SNTL', 'SNOTEL:791_WA_SNTL', 'SNOTEL:804_WA_SNTL',
           'SNOTEL:975_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:817_WA_SNTL',
           'SNOTEL:899_WA_SNTL', 'SNOTEL:824_WA_SNTL', 'SNOTEL:1171_WA_SNTL',
           'SNOTEL:832_WA_SNTL', 'SNOTEL:841_WA_SNTL', 'SNOTEL:974_WA_SNTL',
           'SNOTEL:909_WA_SNTL', 'SNOTEL:863_WA_SNTL'], dtype=object)

  • lon
    (site_id)
    float64
    -121.7 -121.3 ... -121.8 -121.4

    array([-121.69847107, -121.25550079, -120.67960358, -121.1971283 ,
           -123.45747375, -121.33058167, -117.17633057, -121.94032288,
           -122.21633148, -121.53430176, -121.46463776, -121.67137909,
           -123.07879639, -121.43894958, -121.90892792, -121.08553314,
           -118.98639679, -118.4559021 , -121.17092896, -120.48770905,
           -120.65859985, -121.58778381, -120.80767059, -122.15412903,
           -121.962883  , -121.08094788, -120.91677856, -121.77971649,
           -121.69822693, -121.4719696 , -121.92951202, -121.48269653,
           -119.08158875, -123.02600098, -121.56812286, -121.95231628,
           -119.86624146, -121.44213104, -121.74765015, -120.91551208,
           -121.95555115, -121.38642883, -121.94219208, -120.56622314,
           -121.51435089, -117.08937836, -120.7358017 , -121.60475159,
           -119.83830261, -121.06323242, -120.67733765, -121.42172241,
           -118.39842987, -122.25392914, -121.83043671, -121.61006927,
           -117.39437866, -121.92661285, -122.17720032, -117.54154968,
           -121.3416214 , -121.09288025, -121.76345062, -120.78266907,
           -122.184021  , -120.98950195, -121.46974945, -117.85050201,
           -120.84929657, -120.29412079, -120.37014771, -123.42594147,
           -121.78975677, -121.38153076])

  • lat
    (site_id)
    float64
    47.78 48.88 47.35 ... 48.87 46.64

    array([47.77957153, 48.87929916, 47.3503685 , 48.92755127, 47.70859909,
           46.81003189, 48.6868782 , 47.04439926, 45.90362167, 46.86954117,
           47.01871872, 47.27666092, 47.87223816, 48.85932922, 48.69092178,
           47.53564835, 48.95159912, 48.18933868, 46.54740906, 47.28107071,
           48.72047043, 47.06565094, 45.99076843, 46.14778137, 46.27143097,
           46.35749817, 48.19797897, 47.20172119, 48.76292038, 47.2831192 ,
           48.82453156, 46.90584946, 48.36162949, 47.76369858, 47.35768127,
           46.92832947, 48.58525848, 47.37406158, 46.78264999, 48.44488144,
           46.10242081, 46.62152863, 46.32318115, 47.99089813, 46.34962845,
           47.87926865, 48.51865005, 47.30218124, 48.65518188, 47.38484955,
           45.98796844, 47.15991974, 48.86132812, 46.19324875, 46.64336014,
           47.68432999, 46.2371788 , 46.17950058, 46.26113129, 46.18286896,
           47.2742691 , 47.74607086, 46.0949707 , 48.57141876, 46.16379929,
           48.52753067, 47.33198166, 46.11867905, 48.0746994 , 47.23328018,
           47.28733826, 47.94485092, 48.86610031, 46.64141846])

  • elev
    (site_id)
    float64
    1.067e+03 1.106e+03 ... 1.353e+03

    array([1066.80004883, 1106.4239502 , 1292.35205078, 1776.98400879,
           1484.37597656, 1405.12805176, 1524.        , 1271.01599121,
            762.        , 1597.15197754, 1767.83996582,  975.35998535,
           1222.24804688, 1606.29602051,  926.59197998, 1045.46398926,
           1633.72802734, 1338.07202148, 1804.41601562, 1642.87194824,
           1978.15197754,  685.79998779, 1633.72802734, 1048.51196289,
           1197.86401367, 1560.5760498 , 1822.70397949, 1188.7199707 ,
           1072.89599609,  984.50402832, 1514.85595703, 1648.96801758,
           1527.04797363, 1207.00805664,  890.01599121,  963.16802979,
           1362.45605469, 1228.34399414, 1563.62402344, 1402.07995605,
            652.27197266, 1767.83996582, 1353.31201172, 1094.23205566,
           1374.64794922, 1432.56005859, 1490.4720459 , 1161.28796387,
           1359.40795898, 1322.83203125, 1207.00805664, 1414.27197266,
           1426.46398926, 1216.15197754, 1149.09594727, 1008.88800049,
           1219.19995117, 1036.31994629, 1072.89599609, 1737.35998535,
           1173.47998047, 1203.95996094, 1307.59204102, 1197.86401367,
           1353.31201172, 1316.73596191,  911.35198975, 1685.54394531,
            893.06402588, 1670.30395508, 1319.78405762, 1527.04797363,
           1228.34399414, 1353.31201172])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq=None))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:908_WA_SNTL', 'SNOTEL:990_WA_SNTL', 'SNOTEL:352_WA_SNTL',
           'SNOTEL:1080_WA_SNTL', 'SNOTEL:1107_WA_SNTL', 'SNOTEL:375_WA_SNTL',
           'SNOTEL:376_WA_SNTL', 'SNOTEL:942_WA_SNTL', 'SNOTEL:1109_WA_SNTL',
           'SNOTEL:1085_WA_SNTL', 'SNOTEL:418_WA_SNTL', 'SNOTEL:420_WA_SNTL',
           'SNOTEL:943_WA_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:910_WA_SNTL',
           'SNOTEL:478_WA_SNTL', 'SNOTEL:1159_WA_SNTL', 'SNOTEL:1256_WA_SNTL',
           'SNOTEL:502_WA_SNTL', 'SNOTEL:507_WA_SNTL', 'SNOTEL:515_WA_SNTL',
           'SNOTEL:928_WA_SNTL', 'SNOTEL:1129_WA_SNTL', 'SNOTEL:553_WA_SNTL',
           'SNOTEL:591_WA_SNTL', 'SNOTEL:599_WA_SNTL', 'SNOTEL:606_WA_SNTL',
           'SNOTEL:1069_WA_SNTL', 'SNOTEL:999_WA_SNTL', 'SNOTEL:897_WA_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:642_WA_SNTL', 'SNOTEL:644_WA_SNTL',
           'SNOTEL:648_WA_SNTL', 'SNOTEL:898_WA_SNTL', 'SNOTEL:941_WA_SNTL',
           'SNOTEL:1259_WA_SNTL', 'SNOTEL:672_WA_SNTL', 'SNOTEL:679_WA_SNTL',
           'SNOTEL:681_WA_SNTL', 'SNOTEL:1104_WA_SNTL', 'SNOTEL:692_WA_SNTL',
           'SNOTEL:1263_WA_SNTL', 'SNOTEL:699_WA_SNTL', 'SNOTEL:702_WA_SNTL',
           'SNOTEL:707_WA_SNTL', 'SNOTEL:711_WA_SNTL', 'SNOTEL:911_WA_SNTL',
           'SNOTEL:728_WA_SNTL', 'SNOTEL:734_WA_SNTL', 'SNOTEL:1231_WA_SNTL',
           'SNOTEL:1068_WA_SNTL', 'SNOTEL:1043_WA_SNTL', 'SNOTEL:748_WA_SNTL',
           'SNOTEL:1257_WA_SNTL', 'SNOTEL:912_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:776_WA_SNTL', 'SNOTEL:777_WA_SNTL', 'SNOTEL:984_WA_SNTL',
           'SNOTEL:788_WA_SNTL', 'SNOTEL:791_WA_SNTL', 'SNOTEL:804_WA_SNTL',
           'SNOTEL:975_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:817_WA_SNTL',
           'SNOTEL:899_WA_SNTL', 'SNOTEL:824_WA_SNTL', 'SNOTEL:1171_WA_SNTL',
           'SNOTEL:832_WA_SNTL', 'SNOTEL:841_WA_SNTL', 'SNOTEL:974_WA_SNTL',
           'SNOTEL:909_WA_SNTL', 'SNOTEL:863_WA_SNTL'],
          dtype='object', name='site_id'))

• Attributes: (2)

  description :

  SNOTEL snow water equivalent measurements (WTEQ_D)

  units :

  inches w.e.

Merge the two DataArrays into a single DataSet

ds = xr.merge([snwd_da, wteq_da])

ds

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 806)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Data variables:
    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan
    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan nan 61.9 39.1
Attributes:
    description:  SNOTEL snow depth measurements (SNWD_D)
    units:        inches

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 806
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    nan nan nan nan ... nan nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ 90.,  25.,  56., ...,  43., 127., 101.],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan]])

  • WTEQ_D
    (time, site_id)
    float64
    nan nan nan nan ... nan 61.9 39.1

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
           [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
           [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (2)

  description :

  SNOTEL snow depth measurements (SNWD_D)

  units :

  inches

#Clear the attributes for the DataSet (preserved in the DataArrays)
ds.attrs = {}

ds

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 806)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Data variables:
    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan
    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan nan 61.9 39.1

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 806
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    nan nan nan nan ... nan nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ 90.,  25.,  56., ...,  43., 127., 101.],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan]])

  • WTEQ_D
    (time, site_id)
    float64
    nan nan nan nan ... nan 61.9 39.1

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
           [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
           [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

#Access one variable (note dimensiond and coordinates)
ds['SNWD_D']

<xarray.DataArray 'SNWD_D' (time: 16219, site_id: 806)>
array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       ...,
       [ 90.,  25.,  56., ...,  43., 127., 101.],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan]])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Attributes:
    description:  SNOTEL snow depth measurements (SNWD_D)
    units:        inches

xarray.DataArray

'SNWD_D'

• time: 16219
• site_id: 806

• nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan

  array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         ...,
         [ 90.,  25.,  56., ...,  43., 127., 101.],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (2)

  description :

  SNOTEL snow depth measurements (SNWD_D)

  units :

  inches

ds['WTEQ_D']

<xarray.DataArray 'WTEQ_D' (time: 16219, site_id: 806)>
array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       [ nan,  nan,  nan, ...,  nan,  nan,  nan],
       ...,
       [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
       [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
       [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Attributes:
    description:  SNOTEL snow water equivalent measurements (WTEQ_D)
    units:        inches w.e.

xarray.DataArray

'WTEQ_D'

• time: 16219
• site_id: 806

• nan nan nan nan nan nan nan nan ... 0.6 nan nan 24.5 nan nan 61.9 39.1

  array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         ...,
         [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
         [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
         [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (2)

  description :

  SNOTEL snow water equivalent measurements (WTEQ_D)

  units :

  inches w.e.

Write out as NetCDF file

• Better than random pickle file

out_fn = os.path.join(snotel_datadir, 'SNOTEL_CONUS_all.nc')

#ds.to_netcdf?

ds.to_netcdf(out_fn)

reopened = xr.open_dataset(out_fn)

reopened

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 806)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 ...
    lat      (site_id) float64 ...
    elev     (site_id) float64 ...
Data variables:
    SNWD_D   (time, site_id) float64 ...
    WTEQ_D   (time, site_id) float64 ...

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 806
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    ...

    [806 values with dtype=float64]

  • lat
    (site_id)
    float64
    ...

    [806 values with dtype=float64]

  • elev
    (site_id)
    float64
    ...

    [806 values with dtype=float64]

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    ...

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    [13072514 values with dtype=float64]

  • WTEQ_D
    (time, site_id)
    float64
    ...

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    [13072514 values with dtype=float64]

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq=None))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

reopened.close()

Selection on DataSet

#Paradise
sitecode = 'SNOTEL:679_WA_SNTL'

ds.sel(site_id=sitecode)

<xarray.Dataset>
Dimensions:  (time: 16219)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
    site_id  <U18 'SNOTEL:679_WA_SNTL'
    lon      float64 -121.7
    lat      float64 46.78
    elev     float64 1.564e+03
Data variables:
    SNWD_D   (time) float64 nan nan nan nan nan nan ... 118.0 123.0 nan nan nan
    WTEQ_D   (time) float64 nan nan nan nan nan nan ... 47.8 48.8 49.1 49.8 49.9

xarray.Dataset

• Dimensions:
  • time: 16219
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    ()
    <U18
    'SNOTEL:679_WA_SNTL'

    array('SNOTEL:679_WA_SNTL', dtype='<U18')

  • lon
    ()
    float64
    -121.7

    array(-121.74765015)

  • lat
    ()
    float64
    46.78

    array(46.78264999)

  • elev
    ()
    float64
    1.564e+03

    array(1563.62402344)

• Data variables: (2)
  • SNWD_D
    (time)
    float64
    nan nan nan nan ... nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([nan, nan, nan, ..., nan, nan, nan])

  • WTEQ_D
    (time)
    float64
    nan nan nan nan ... 49.1 49.8 49.9

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([ nan,  nan,  nan, ..., 49.1, 49.8, 49.9])

• Indexes: (1)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

• Attributes: (0)

#List of sites (Paradise and Easy Pass)
sitecode_list = ['SNOTEL:679_WA_SNTL', 'SNOTEL:998_WA_SNTL']

ds.sel(site_id=sitecode_list)

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 2)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:679_WA_SNTL' 'SNOTEL:998_WA_SNTL'
    lon      (site_id) float64 -121.7 -121.4
    lat      (site_id) float64 46.78 48.86
    elev     (site_id) float64 1.564e+03 1.606e+03
Data variables:
    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan
    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... 49.8 61.7 49.9 61.9

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 2
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:679_WA_SNTL' 'SNOTEL:998...

    array(['SNOTEL:679_WA_SNTL', 'SNOTEL:998_WA_SNTL'], dtype=object)

  • lon
    (site_id)
    float64
    -121.7 -121.4

    array([-121.74765015, -121.43894958])

  • lat
    (site_id)
    float64
    46.78 48.86

    array([46.78264999, 48.85932922])

  • elev
    (site_id)
    float64
    1.564e+03 1.606e+03

    array([1563.62402344, 1606.29602051])

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    nan nan nan nan ... nan nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([[ nan,  nan],
           [ nan,  nan],
           [ nan,  nan],
           ...,
           [ nan, 127.],
           [ nan,  nan],
           [ nan,  nan]])

  • WTEQ_D
    (time, site_id)
    float64
    nan nan nan nan ... 61.7 49.9 61.9

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([[ nan,  nan],
           [ nan,  nan],
           [ nan,  nan],
           ...,
           [49.1, 63.2],
           [49.8, 61.7],
           [49.9, 61.9]])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:679_WA_SNTL', 'SNOTEL:998_WA_SNTL'], dtype='object', name='site_id'))

• Attributes: (0)

ds.sel(time='2023-02-23')

<xarray.Dataset>
Dimensions:  (site_id: 806)
Coordinates:
    time     datetime64[ns] 2023-02-23
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Data variables:
    SNWD_D   (site_id) float64 90.0 25.0 56.0 61.0 54.0 ... 0.0 43.0 127.0 101.0
    WTEQ_D   (site_id) float64 nan nan nan nan nan ... 24.6 nan nan 63.2 39.1

xarray.Dataset

• Dimensions:
  • site_id: 806
• Coordinates: (5)
  • time
    ()
    datetime64[ns]
    2023-02-23

    array('2023-02-23T00:00:00.000000000', dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Data variables: (2)
  • SNWD_D
    (site_id)
    float64
    90.0 25.0 56.0 ... 43.0 127.0 101.0

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([ 90.,  25.,  56.,  61.,  54.,  35.,  95.,  nan,  62.,  nan,  nan,
            21.,  46.,  67.,  65.,  nan,  73.,  nan,  84.,  50.,  nan,  46.,
            41.,   6.,  25.,  nan,  nan,  nan, 123.,  nan, 105., 103.,  19.,
            81.,  65.,  11.,   6.,  24.,  81.,  41.,  46.,  50., 110.,  66.,
            59.,  58.,  55., 101., 109.,  62., 102.,  nan,   1., 100.,  54.,
            91.,  50.,  40.,  48.,  22.,  25.,  28.,  70.,  nan,  12.,  43.,
            49.,  38.,  47.,  73.,  75.,  39.,  57.,  35.,  87.,  59., 184.,
            36.,  49.,  24.,  47.,  nan,  41.,  nan,  nan,  41.,  27.,  47.,
            32.,  32.,  47.,  47.,  57.,  28.,  nan,  57.,  31.,  51.,  39.,
            51.,  51.,  67.,  33.,  35.,  48.,  74.,  58.,  57.,  72.,  31.,
            31.,  15.,  35.,  78.,  37.,  38.,  45., 101.,  18.,  53.,  22.,
            nan,  63.,  37.,  34.,  45.,  84.,  nan,  59.,  36.,  53.,  34.,
            25.,  98.,  41.,  46.,  26.,  36.,  31.,  22.,  26.,  53.,  19.,
            64.,  32.,  18.,  32.,  53.,  43.,  80.,  62.,  62.,  80.,  65.,
            85.,  59.,  56.,  44.,  45.,  39.,  40.,  53.,  29.,  61.,  60.,
            55.,  46.,  65.,  72.,  49.,  32.,  76.,  18.,  27.,  35.,   8.,
            85.,  43.,  54.,  35.,  37.,  69.,  77.,  60.,  nan,  31.,  44.,
            56.,   8.,  52.,  78.,  73.,  nan,  66.,  36.,  43.,  60.,  41.,
            nan,  30.,  42.,  46.,  38.,  nan,  40.,  63.,  55.,  97.,  nan,
            37.,  62.,  77.,  57.,  49.,  52.,  33., 115.,  73.,  73.,  52.,
    ...
            51.,  80.,  nan,  47.,  nan,  nan,  70., 107., 100.,  62.,  64.,
            nan,  64.,   7.,  33.,  77.,  38.,  65.,  nan,  54.,  61.,  34.,
            29.,  71.,   1.,  28.,  31.,  50.,  55.,  62.,  nan,  53.,  nan,
            42., 119.,  29.,  nan,  53.,  98.,  nan,  48.,  41.,  57.,  65.,
            26.,  50.,  71.,  94.,  78.,  nan,  48., 109.,  28.,  82.,  77.,
            19.,  53.,  80.,  35.,  30.,  15.,  64.,  76.,  50.,  17.,  80.,
            39.,  51., 101.,  46.,  59.,  42.,  60.,  19.,  27.,  44.,  46.,
            90.,  34.,  58.,  57.,  34.,  20.,  90.,  33.,  66., 111.,  nan,
           118.,  44.,  nan,  72.,  36.,  86.,  71.,  50.,  52.,  67.,  48.,
            88.,  89.,  48.,  39.,  91.,  47.,  52.,  76.,  81.,  69.,  84.,
            39.,  nan,  55.,  64.,  81.,  62.,  48.,  nan,  22.,  nan,  88.,
            77.,  29.,  70.,  52.,  48.,  45.,  nan,  58.,  nan,  48.,  63.,
            48.,  nan,  57.,  98.,  44.,  33.,  23.,  45.,  35.,  42.,  76.,
            65.,  32.,  62.,  82.,  nan,  51.,  87.,  60.,  66.,  38.,  91.,
            76.,  68.,  73.,  79.,  45.,  nan,  nan,  52.,  31.,  30.,  42.,
            30.,  16.,  54.,  65.,  nan,  17.,  56.,  76.,   4.,  47.,  37.,
            37.,  74.,  nan,  32.,  47.,  nan,  nan,  30.,  20.,  nan,   3.,
            48.,  nan,  43.,   4.,  nan,  47.,  89.,  71.,  nan,  43.,  10.,
            61.,  24.,  30.,  nan,  54.,  34.,   4.,  72.,  50.,  nan,   0.,
            43., 127., 101.])

  • WTEQ_D
    (site_id)
    float64
    nan nan nan nan ... nan 63.2 39.1

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([ nan,  nan,  nan,  nan,  nan,  nan, 42.9, 63.6,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
           11.6,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan, 25.9,
           23.9,  nan,  nan,  nan, 40.4,  nan,  nan,  nan,  nan, 37. ,  nan,
            nan,  nan,  nan,  nan,  nan,  7.7,  nan,  nan, 34.3,  1.5,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan, 13.9,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan, 11.1,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan, 24.2,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan, 11.4,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan, 10.1, 30.3,  nan,  8. ,  nan,  nan,
           32.8,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
    ...
            nan,  nan,  nan,  nan, 23.9,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan, 37.6,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan, 25.3,
           13.8,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan, 26.2,
            nan,  nan, 29.4,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan, 36.9,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan, 22.2,  nan,  nan,  nan,  nan,  nan,  nan, 24.2,
            nan,  nan,  nan,  nan,  nan,  nan,  nan, 12.4,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan, 10.1,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan, 17.9,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
           23.9,  9.4, 23.5,  nan,  nan,  nan,  nan,  nan,  nan,  nan, 37.5,
           25.3, 24.1, 29.3, 32.6,  nan,  nan,  nan,  nan,  nan,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  2. ,  nan,  nan,
            nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  nan,  1.2,
           16.7,  9.8,  nan,  nan,  nan,  nan,  nan,  nan, 21. , 15.6,  nan,
            nan,  nan,  nan,  nan,  nan,  8.8,  0.4,  nan,  nan, 24.6,  nan,
            nan, 63.2, 39.1])

• Indexes: (1)
  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

Plotting

• Mostly for DataArray, not DataSet

• https://docs.xarray.dev/en/stable/user-guide/plotting.html

#Doesn't work
#ds.sel(site_id=sitecode).plot()

ds.sel(site_id=sitecode)['WTEQ_D']

<xarray.DataArray 'WTEQ_D' (time: 16219)>
array([ nan,  nan,  nan, ..., 49.1, 49.8, 49.9])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
    site_id  <U18 'SNOTEL:679_WA_SNTL'
    lon      float64 -121.7
    lat      float64 46.78
    elev     float64 1.564e+03
Attributes:
    description:  SNOTEL snow water equivalent measurements (WTEQ_D)
    units:        inches w.e.

xarray.DataArray

'WTEQ_D'

• time: 16219

• nan nan nan nan nan nan nan nan ... 46.0 46.4 47.8 48.8 49.1 49.8 49.9

  array([ nan,  nan,  nan, ..., 49.1, 49.8, 49.9])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    ()
    <U18
    'SNOTEL:679_WA_SNTL'

    array('SNOTEL:679_WA_SNTL', dtype='<U18')

  • lon
    ()
    float64
    -121.7

    array(-121.74765015)

  • lat
    ()
    float64
    46.78

    array(46.78264999)

  • elev
    ()
    float64
    1.564e+03

    array(1563.62402344)

• Indexes: (1)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

• Attributes: (2)

  description :

  SNOTEL snow water equivalent measurements (WTEQ_D)

  units :

  inches w.e.

ds.sel(site_id=sitecode)['WTEQ_D'].plot();

f, ax = plt.subplots()
ds.sel(site_id=sitecode)['WTEQ_D'].plot(ax=ax, label='WTEQ_D')
ds.sel(site_id=sitecode)['SNWD_D'].plot(ax=ax, label='SNWD_D')
ax.legend();

ds.sel(site_id=sitecode_list)['SNWD_D']

<xarray.DataArray 'SNWD_D' (time: 16219, site_id: 2)>
array([[ nan,  nan],
       [ nan,  nan],
       [ nan,  nan],
       ...,
       [ nan, 127.],
       [ nan,  nan],
       [ nan,  nan]])
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:679_WA_SNTL' 'SNOTEL:998_WA_SNTL'
    lon      (site_id) float64 -121.7 -121.4
    lat      (site_id) float64 46.78 48.86
    elev     (site_id) float64 1.564e+03 1.606e+03
Attributes:
    description:  SNOTEL snow depth measurements (SNWD_D)
    units:        inches

xarray.DataArray

'SNWD_D'

• time: 16219
• site_id: 2

• nan nan nan nan nan nan nan nan ... 136.0 nan 127.0 nan nan nan nan

  array([[ nan,  nan],
         [ nan,  nan],
         [ nan,  nan],
         ...,
         [ nan, 127.],
         [ nan,  nan],
         [ nan,  nan]])

• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:679_WA_SNTL' 'SNOTEL:998...

    array(['SNOTEL:679_WA_SNTL', 'SNOTEL:998_WA_SNTL'], dtype=object)

  • lon
    (site_id)
    float64
    -121.7 -121.4

    array([-121.74765015, -121.43894958])

  • lat
    (site_id)
    float64
    46.78 48.86

    array([46.78264999, 48.85932922])

  • elev
    (site_id)
    float64
    1.564e+03 1.606e+03

    array([1563.62402344, 1606.29602051])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:679_WA_SNTL', 'SNOTEL:998_WA_SNTL'], dtype='object', name='site_id'))

• Attributes: (2)

  description :

  SNOTEL snow depth measurements (SNWD_D)

  units :

  inches

ds.sel(site_id=sitecode_list)['SNWD_D'].plot.line(x="time");

#Remember we used hvplot for pandas
#import hvplot.pandas

import hvplot.xarray

#ds.sel(site_id=sitecode).hvplot()

ds.sel(site_id=sitecode).plot.scatter(x="SNWD_D", y="WTEQ_D", s=10, c=ds.isel(site_id=0)['time']);

#ds.hvplot(kind='scatter', x='lon', y='lat', c='elev', aspect='equal')

Interactive plot with time slider

#ds.hvplot(kind='scatter', x='lon', y='lat', c='SNWD_D', aspect='equal', clim=(0,150), cmap='inferno')

Add projected coordinates

from pyproj import CRS, Transformer

crs_4326 = CRS.from_epsg(4326)

#Use our equal area projection from previous labs
crs_aea = CRS.from_proj4('+proj=aea +lat_1=37.00 +lat_2=47.00 +lat_0=42.00 +lon_0=-114.27')

transformer = Transformer.from_crs(crs_4326, crs_aea)

transformer

<Concatenated Operation Transformer: pipeline>
Description: axis order change (2D) + unknown
Area of Use:
- name: World
- bounds: (-180.0, -90.0, 180.0, 90.0)

x, y = transformer.transform(ds['lat'], ds['lon'])

x[0:10], y[0:10]

(array([-641830.34227843,  783444.60403791, -219670.85812494,
         260151.57870442,  256411.14413521, -545201.83052402,
        -563757.73421726, -609610.91738397,  225520.62714738,
         702809.29230722]),
 array([ 126514.02974903, -447629.27923716, -179747.45522562,
         552612.93311311,  553958.49455869,   92343.21913656,
         784714.06105929,  492131.94845037,  -19505.12211235,
        -211932.9662484 ]))

Assign as new alternative coordinates (preserving original dimensions)

• https://docs.xarray.dev/en/stable/generated/xarray.Dataset.assign_coords.html

ds

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 806)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
Data variables:
    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan
    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan nan 61.9 39.1

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 806
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    nan nan nan nan ... nan nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ 90.,  25.,  56., ...,  43., 127., 101.],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan]])

  • WTEQ_D
    (time, site_id)
    float64
    nan nan nan nan ... nan 61.9 39.1

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
           [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
           [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

ds = ds.assign_coords(x=('site_id', x), y=('site_id', y))

ds

<xarray.Dataset>
Dimensions:  (time: 16219, site_id: 806)
Coordinates:
  * time     (time) datetime64[ns] 1978-10-01 1978-10-02 ... 2023-02-25
  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'
    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7
    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76
    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03
    x        (site_id) float64 -6.418e+05 7.834e+05 ... -5.274e+05 -5.474e+05
    y        (site_id) float64 1.265e+05 -4.476e+05 ... 7.854e+05 7.764e+05
Data variables:
    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan
    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan nan 61.9 39.1

xarray.Dataset

• Dimensions:
  • time: 16219
  • site_id: 806
• Coordinates: (7)
  • time
    (time)
    datetime64[ns]
    1978-10-01 ... 2023-02-25

    array(['1978-10-01T00:00:00.000000000', '1978-10-02T00:00:00.000000000',
           '1978-10-03T00:00:00.000000000', ..., '2023-02-23T00:00:00.000000000',
           '2023-02-24T00:00:00.000000000', '2023-02-25T00:00:00.000000000'],
          dtype='datetime64[ns]')

  • site_id
    (site_id)
    object
    'SNOTEL:1000_OR_SNTL' ... 'SNOTE...

    array(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           ..., 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL', 'SNOTEL:999_WA_SNTL'],
          dtype=object)

  • lon
    (site_id)
    float64
    -122.2 -105.4 ... -121.4 -121.7

    array([-122.16517639, -105.37326813, -116.86492157, -110.85359955,
           -110.90197754, -120.94917297, -121.92951202, -122.184021  ,
           -111.54605103, -106.02729797, -107.25717163, -116.08878326,
           -106.81362152, -106.38141632, -105.95583344, -106.00759888,
           -106.59535217, -105.78721619, -111.60991669, -106.54128265,
           -106.5114212 , -105.60247803, -118.39842987, -122.42536926,
           -105.38278198, -106.2309494 , -106.94283295, -107.86975098,
           -119.95970154, -119.88732147, -119.89420319, -119.53521729,
           -116.46311951, -111.8170166 , -111.48747253, -105.07366943,
           -106.53782654, -106.59883118, -108.11373138, -107.009552  ,
           -113.94235229, -113.45987701, -120.00219727, -121.42172241,
           -121.77971649, -121.68002319, -121.97714996, -117.94882965,
           -121.1971283 , -117.03666687, -110.92783356, -105.52713776,
           -123.27562714, -121.53430176, -110.43395233, -111.50602722,
           -112.1678772 , -106.36801147, -106.62931061, -105.85050201,
           -121.95555115, -110.08019257, -110.71250153, -123.45747375,
           -122.21633148, -115.6297226 , -115.69542694, -115.67507935,
           -111.56918335, -111.46929932, -111.59712982, -110.35289764,
           -110.00527191, -111.35946655, -106.71383667, -106.42459869,
           -111.74485779, -105.63067627, -105.76560211, -106.5583725 ,
    ...
           -118.1519165 , -106.80169678, -109.65699768, -112.81427765,
           -110.91773224, -109.81774902, -111.85308075, -114.41812134,
           -111.71865082, -121.4719696 , -121.56812286, -121.46974945,
           -113.92664337, -109.21656799, -112.50787354, -108.02445221,
           -108.16954041, -112.1734314 , -112.2711792 , -121.69847107,
           -121.78975677, -121.90892792, -121.60475159, -121.61006927,
           -106.59528351, -105.43614197, -113.83731842, -111.95902252,
           -109.64727783, -115.81915283, -110.33022308, -103.7875824 ,
           -105.80674744, -105.78333282, -108.90273285, -111.09198761,
           -122.03125   , -113.83402252, -111.65058136, -121.58778381,
           -110.92783356, -113.30792236, -107.20068359, -115.62332916,
           -108.26667023, -105.19467926, -105.80000305, -105.59345245,
           -105.91078186, -106.11306763, -106.08332825, -106.74835205,
           -121.95231628, -121.94032288, -123.07879639, -109.87815094,
           -121.13339996, -111.41207123, -105.90622711, -111.8137207 ,
           -111.76457214, -123.42594147, -120.78266907, -120.75202179,
           -116.09684753, -116.33660126, -109.45960999, -104.41056824,
           -111.8335495 , -117.54154968, -117.39437866, -116.75747681,
           -116.85350037, -121.25550079, -121.07975769, -110.82769775,
           -121.43894958, -121.69822693])

  • lat
    (site_id)
    float64
    42.87 37.61 40.36 ... 48.86 48.76

    array([42.87007141, 37.61497116, 40.35757065, 46.91347885, 46.92689896,
           42.63809967, 48.82453156, 46.16379929, 41.79299927, 39.79560089,
           41.40100098, 44.78834915, 36.02634811, 40.35097885, 40.40404892,
           40.70750046, 40.79487991, 33.40472031, 40.28300095, 39.60467911,
           39.59917068, 40.2010498 , 48.86132812, 43.22718048, 41.22869873,
           41.23836899, 41.07052994, 33.00812149, 38.68244934, 38.83652115,
           38.71942902, 38.39746857, 48.72262955, 40.99200058, 41.3588295 ,
           38.8758316 , 37.47032928, 38.16283035, 37.50357056, 40.06153107,
           37.49617004, 37.40082932, 38.69269943, 47.15991974, 47.20172119,
           42.4132309 , 42.78636932, 45.98210144, 48.92755127, 47.85583115,
           43.77933121, 36.12778091, 45.24755096, 46.86954117, 39.67712021,
           41.86425018, 38.07125092, 38.69977951, 39.26216888, 38.29325867,
           46.10242081, 45.50381088, 46.48450089, 47.70859909, 45.90362167,
           36.2492981 , 36.31575012, 36.30537033, 41.88573074, 41.92150116,
           41.96768951, 40.55020142, 40.83868027, 41.22154999, 41.05615997,
           39.86399841, 35.26805878, 40.57912827, 40.51229858, 37.96660995,
           34.96963882, 33.89746857, 38.28554916, 45.99076843, 43.67480087,
           44.54315186, 44.34846878, 42.71210098, 42.58010101, 40.9849205 ,
           41.31869888, 39.44950104, 36.17728043, 35.26247025, 34.45547104,
           38.99076843, 46.49597168, 36.32677841, 47.98287964, 41.2476387 ,
    ...
           35.77555847, 45.07220078, 37.21411133, 44.61088181, 41.00289154,
           44.53266907, 35.14202118, 45.04574966, 46.64141846, 39.96450043,
           37.83633041, 33.75835037, 42.75743103, 42.81512833, 40.34703064,
           40.43254089, 42.01256943, 42.28020096, 45.06703186, 37.47922134,
           44.8041687 , 47.44847107, 33.81241989, 43.93225098, 46.34936905,
           43.76850128, 40.86832809, 47.2831192 , 47.35768127, 47.33198166,
           46.99523163, 33.69144058, 46.84233856, 37.4414711 , 37.43087006,
           40.56533051, 37.52217102, 47.77957153, 48.86610031, 48.69092178,
           47.30218124, 47.68432999, 40.22861099, 37.85163879, 44.84617996,
           45.597229  , 48.1747818 , 48.97523117, 46.6685791 , 44.20616913,
           35.70429993, 35.76694107, 42.59075928, 44.65866089, 45.44575119,
           43.72718048, 35.34159851, 47.06565094, 45.87395096, 46.1258812 ,
           44.57923889, 48.12672043, 35.23332977, 36.47492981, 39.56666946,
           39.65626907, 39.43576813, 39.30350113, 39.03332901, 40.81587982,
           46.92832947, 47.04439926, 47.87223816, 43.38331985, 42.20619965,
           34.74597931, 39.76449966, 40.93416977, 40.8303299 , 47.94485092,
           48.57141876, 41.89318085, 43.76377106, 44.37665176, 45.24010086,
           44.4863205 , 37.97249985, 46.18286896, 46.2371788 , 48.89369965,
           46.80500031, 48.87929916, 48.98075104, 40.8852005 , 48.85932922,
           48.76292038])

  • elev
    (site_id)
    float64
    1.832e+03 3.246e+03 ... 1.073e+03

    array([1831.84802246, 3246.12011719, 2255.52001953, 2258.56811523,
           1996.43994141, 1883.66394043, 1514.85595703, 1353.31201172,
           2257.34887695, 2724.91210938, 2392.67993164, 1490.4720459 ,
           2836.46875   , 3340.60791016, 3133.34399414, 2749.29589844,
           2846.83203125, 3133.34399414, 2369.51513672, 2889.50390625,
           2590.80004883, 2913.88793945, 1426.46398926,  987.55200195,
           2538.98388672, 2918.15527344, 2717.29199219, 2816.35205078,
           2443.58154297, 2608.17358398, 2477.71923828, 2838.60229492,
           1072.89599609, 2066.23925781, 2503.93188477, 3493.00805664,
           3541.77587891, 3054.09594727, 3267.45605469, 2767.58398438,
           2061.36230469, 2536.5456543 , 2548.12792969, 1414.27197266,
           1188.7199707 , 2081.78393555, 1645.92004395, 1700.78405762,
           1776.98400879, 1283.20800781, 2822.44799805, 2621.2800293 ,
            128.01600647, 1597.15197754, 2662.73291016, 2520.69604492,
           2971.49511719, 3212.59204102, 3081.52807617, 3267.45605469,
            652.27197266, 1930.90795898, 2316.47998047, 1484.37597656,
            762.        , 2395.72802734, 2709.67211914, 2629.20483398,
           1929.99365234, 2348.48388672, 2209.80004883, 2579.82714844,
           3119.62792969, 1853.7935791 , 2993.13598633, 3206.49609375,
           2240.2800293 , 2859.02392578, 3041.90405273, 3395.47192383,
    ...
           1716.02404785, 3352.80004883, 2331.7199707 , 1816.60803223,
           2103.12011719, 2545.08007812, 2097.02392578, 1923.28796387,
           2209.80004883,  984.50402832,  890.01599121,  911.35198975,
           2255.52001953, 2435.35205078, 2139.69604492, 3287.26806641,
           3048.        , 2161.94628906, 2712.7199707 , 1066.80004883,
           1228.34399414,  926.59197998, 1161.28796387, 1008.88800049,
           2816.35205078, 2941.01513672, 2630.42407227, 2529.84008789,
           1432.56005859, 1295.40002441, 2316.47998047, 1868.4239502 ,
           2502.40795898, 3488.43603516, 2956.56005859, 2042.16003418,
            819.9119873 , 2901.69604492, 2965.70410156,  685.79998779,
           1996.43994141, 2194.56005859, 2435.35205078, 1554.47998047,
           2578.60791016, 3102.86401367, 3340.60791016, 3230.87988281,
           3230.87988281, 3398.52001953, 3157.72802734, 2840.73608398,
            963.16802979, 1271.01599121, 1222.24804688, 2993.13598633,
           1490.4720459 , 2325.62402344, 3169.91992188, 2359.15209961,
           2042.16003418, 1527.04797363, 1197.86401367, 1575.81604004,
           1932.43200684, 1499.6159668 , 1792.22399902, 1801.36804199,
           3062.93530273, 1737.35998535, 1219.19995117, 1536.1920166 ,
           1432.56005859, 1106.4239502 ,  515.11199951, 2675.22949219,
           1606.29602051, 1072.89599609])

  • x
    (site_id)
    float64
    -6.418e+05 7.834e+05 ... -5.474e+05

    array([-6.41830342e+05,  7.83444604e+05, -2.19670858e+05,  2.60151579e+05,
            2.56411144e+05, -5.45201831e+05, -5.63757734e+05, -6.09610917e+05,
            2.25520627e+05,  7.02809292e+05,  5.83619401e+05, -1.43528357e+05,
            6.72227046e+05,  6.67032754e+05,  7.02338186e+05,  6.94733552e+05,
            6.44581224e+05,  7.93024743e+05,  2.25442395e+05,  6.61015851e+05,
            6.63618178e+05,  7.34365344e+05, -3.03951785e+05, -6.59147441e+05,
            7.41094246e+05,  6.70483229e+05,  6.12853570e+05,  6.02004277e+05,
           -4.93714165e+05, -4.86323157e+05, -4.87769845e+05, -4.58868532e+05,
           -1.61903046e+05,  2.05641237e+05,  2.31935422e+05,  7.94758833e+05,
            6.82634807e+05,  6.70405151e+05,  5.43510430e+05,  6.16771956e+05,
            2.89544151e+04,  7.16899389e+04, -4.97320228e+05, -5.41826560e+05,
           -5.68475996e+05, -6.06877482e+05, -6.27422197e+05, -2.84556917e+05,
           -5.09056741e+05, -2.07325326e+05,  2.68070751e+05,  7.86697522e+05,
           -7.04077144e+05, -5.53060628e+05,  3.28060190e+05,  2.28577727e+05,
            1.84185185e+05,  6.85039444e+05,  6.56892069e+05,  7.34185674e+05,
           -5.92669712e+05,  3.26646510e+05,  2.72864023e+05, -6.89032812e+05,
           -6.14766302e+05, -1.22343227e+05, -1.28132401e+05, -1.26322317e+05,
            2.23281277e+05,  2.31406066e+05,  2.20687522e+05,  3.30556757e+05,
            3.58274756e+05,  2.43119352e+05,  6.32099113e+05,  6.68335909e+05,
            2.30372414e+05,  7.27757535e+05,  7.17164666e+05,  6.75885646e+05,
    ...
           -3.04856260e+05,  6.59313024e+05,  3.63790585e+05,  1.09867046e+05,
            3.12068679e+05,  3.56156754e+05,  1.85831568e+05, -1.18856860e+04,
            2.14294246e+05, -5.44478594e+05, -5.51027907e+05, -5.43856864e+05,
            2.61163793e+04,  4.71065297e+05,  1.34370253e+05,  5.51879420e+05,
            5.39164176e+05,  1.76927998e+05,  1.76554295e+05, -5.56800380e+05,
           -5.53095515e+05, -5.63560826e+05, -5.54312392e+05, -5.51092478e+05,
            6.50213226e+05,  7.75229891e+05,  3.41148113e+04,  1.79938808e+05,
            3.44402220e+05, -1.13865217e+05,  3.01227409e+05,  8.33120750e+05,
            7.66232054e+05,  7.67661249e+05,  4.38600404e+05,  2.51287043e+05,
           -6.05084466e+05,  3.50073326e+04,  2.38722842e+05, -5.55268608e+05,
            2.58997892e+05,  7.42586009e+04,  5.59198814e+05, -1.00954196e+05,
            5.47594210e+05,  8.12447944e+05,  7.24635473e+05,  7.41241839e+05,
            7.16603180e+05,  7.00709932e+05,  7.06116551e+05,  6.31559631e+05,
           -5.84219828e+05, -5.82160167e+05, -6.58876049e+05,  3.54454979e+05,
           -5.64049671e+05,  2.62641683e+05,  7.13436447e+05,  2.06101633e+05,
            2.10561721e+05, -6.83888221e+05, -4.81646841e+05, -5.35397885e+05,
           -1.46591791e+05, -1.64184325e+05,  3.76624244e+05,  7.80257337e+05,
            2.13782301e+05, -2.52219683e+05, -2.40659014e+05, -1.83079243e+05,
           -1.97112709e+05, -5.13770921e+05, -4.99983314e+05,  2.89017518e+05,
           -5.27416662e+05, -5.47366949e+05])

  • y
    (site_id)
    float64
    1.265e+05 -4.476e+05 ... 7.764e+05

    array([ 1.26514030e+05, -4.47629279e+05, -1.79747455e+05,  5.52612933e+05,
            5.53958495e+05,  9.23432191e+04,  7.84714061e+05,  4.92131948e+05,
           -1.95051221e+04, -2.11932966e+05, -4.29574644e+04,  3.12383121e+05,
           -6.35282416e+05, -1.53166471e+05, -1.43889964e+05, -1.10656160e+05,
           -1.05539898e+05, -9.14992695e+05, -1.87882320e+05, -2.37178312e+05,
           -2.37559028e+05, -1.63441428e+05,  7.70955782e+05,  1.68128847e+05,
           -4.76379535e+04, -5.35300603e+04, -7.74777055e+04, -9.75411381e+05,
           -3.53204636e+05, -3.36514832e+05, -3.49474028e+05, -3.87186824e+05,
            7.50351801e+05, -1.09433674e+05, -6.77260871e+04, -3.05480564e+05,
           -4.73551904e+05, -3.97396132e+05, -4.81112969e+05, -1.89975979e+05,
           -5.01352567e+05, -5.11657823e+05, -3.51821996e+05,  5.97392369e+05,
            6.04333584e+05,  7.22514684e+04,  1.15830901e+05,  4.49913705e+05,
            7.91515327e+05,  6.55477075e+05,  2.03608990e+05, -6.13174207e+05,
            3.98944933e+05,  5.65941972e+05, -2.51529762e+05, -1.14596527e+04,
           -4.35260192e+05, -3.36112021e+05, -2.75829922e+05, -3.76844900e+05,
            4.83730889e+05,  3.98531588e+05,  5.05379618e+05,  6.72654102e+05,
            4.63525027e+05, -6.38784718e+05, -6.31324062e+05, -6.32504631e+05,
           -9.23196738e+03, -4.98167336e+03, -1.70753436e+02, -1.54067953e+05,
           -1.20565202e+05, -8.26662823e+04, -7.74148898e+04, -2.07518363e+05,
           -7.45029650e+05, -1.21772542e+05, -1.30316009e+05, -4.18801679e+05,
    ...
            3.48801142e+05, -4.74628124e+05,  3.22391965e+05,  6.07831370e+05,
           -9.03127365e+05,  2.24671102e+05,  4.87310190e+05,  1.97199270e+05,
           -1.22970656e+05,  6.11353770e+05,  6.20222126e+05,  6.16750184e+05,
            5.56583270e+05, -9.08702765e+05,  5.40909290e+05, -4.87422734e+05,
           -4.89517821e+05, -1.57757883e+05, -4.96466990e+05,  6.67749727e+05,
            7.88393601e+05,  7.69831926e+05,  6.14313131e+05,  6.56643467e+05,
           -1.68381612e+05, -4.22045608e+05,  3.17394435e+05,  4.03391205e+05,
            6.96801320e+05,  7.77298224e+05,  5.27113076e+05,  2.96845629e+05,
           -6.62375322e+05, -6.55263503e+05,  7.95690980e+04,  3.01058605e+05,
            4.11440035e+05,  1.92671022e+05, -7.36639345e+05,  5.88011112e+05,
            4.36819624e+05,  4.60242353e+05,  3.10570852e+05,  6.82999817e+05,
           -7.33124664e+05, -5.71806924e+05, -2.35416238e+05, -2.23728368e+05,
           -2.50848429e+05, -2.67171731e+05, -2.96860811e+05, -1.04344609e+05,
            5.75219336e+05,  5.87990364e+05,  6.87753822e+05,  1.63301504e+05,
            4.55231461e+04, -8.01776925e+05, -2.14382717e+05, -1.15868426e+05,
           -1.27316971e+05,  6.98481767e+05,  7.49782301e+05,  8.28848090e+03,
            1.98219593e+05,  2.66956294e+05,  3.71737923e+05,  3.22006350e+05,
           -4.45457841e+05,  4.70969857e+05,  4.76587695e+05,  7.69890258e+05,
            5.38342475e+05,  7.86534907e+05,  7.96700221e+05, -1.18482782e+05,
            7.85441140e+05,  7.76418577e+05])

• Data variables: (2)
  • SNWD_D
    (time, site_id)
    float64
    nan nan nan nan ... nan nan nan nan

    description :

    SNOTEL snow depth measurements (SNWD_D)

    units :

    inches

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ 90.,  25.,  56., ...,  43., 127., 101.],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan]])

  • WTEQ_D
    (time, site_id)
    float64
    nan nan nan nan ... nan 61.9 39.1

    description :

    SNOTEL snow water equivalent measurements (WTEQ_D)

    units :

    inches w.e.

    array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           [ nan,  nan,  nan, ...,  nan,  nan,  nan],
           ...,
           [ nan,  nan,  nan, ...,  nan, 63.2, 39.1],
           [ nan,  nan,  nan, ...,  nan, 61.7, 39. ],
           [ nan,  nan,  nan, ...,  nan, 61.9, 39.1]])

• Indexes: (2)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['1978-10-01', '1978-10-02', '1978-10-03', '1978-10-04',
                   '1978-10-05', '1978-10-06', '1978-10-07', '1978-10-08',
                   '1978-10-09', '1978-10-10',
                   ...
                   '2023-02-16', '2023-02-17', '2023-02-18', '2023-02-19',
                   '2023-02-20', '2023-02-21', '2023-02-22', '2023-02-23',
                   '2023-02-24', '2023-02-25'],
                  dtype='datetime64[ns]', name='time', length=16219, freq='D'))

  • site_id
    PandasIndex

    PandasIndex(Index(['SNOTEL:1000_OR_SNTL', 'SNOTEL:1005_CO_SNTL', 'SNOTEL:1006_NV_SNTL',
           'SNOTEL:1008_MT_SNTL', 'SNOTEL:1009_MT_SNTL', 'SNOTEL:1010_OR_SNTL',
           'SNOTEL:1011_WA_SNTL', 'SNOTEL:1012_WA_SNTL', 'SNOTEL:1013_UT_SNTL',
           'SNOTEL:1014_CO_SNTL',
           ...
           'SNOTEL:983_UT_SNTL', 'SNOTEL:984_WA_SNTL', 'SNOTEL:985_WA_SNTL',
           'SNOTEL:988_ID_SNTL', 'SNOTEL:989_ID_SNTL', 'SNOTEL:990_WA_SNTL',
           'SNOTEL:991_WA_SNTL', 'SNOTEL:992_UT_SNTL', 'SNOTEL:998_WA_SNTL',
           'SNOTEL:999_WA_SNTL'],
          dtype='object', name='site_id', length=806))

• Attributes: (0)

#ds.hvplot(kind='scatter', x='x', y='y', c='SNWD_D', aspect='equal', cmap='inferno', s=5, clim=(0,150))