{ "cells": [ { "cell_type": "markdown", "id": "613a88b0-c3a2-442c-982f-05aa1d0a455d", "metadata": {}, "source": [ "# 09 Introduction: Multidimensional (N-d) arrays, xarray, ERA5 climate reanalysis data\n", "\n", "UW Geospatial Data Analysis \n", "CEE498/CEWA599 \n", "David Shean " ] }, { "cell_type": "markdown", "id": "8fdb482b-118b-45fe-bff7-d15b4caeace8", "metadata": {}, "source": [ "## Introduction\n", "\n", "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.\n", "\n", "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.\n", "\n", "We will use xarray to open, combine, analyze and plot the data." ] }, { "cell_type": "markdown", "id": "7489d4bd-a0f9-486b-8a9c-e6dacb0d361a", "metadata": {}, "source": [ "## xarray\n", "\n", "Take a moment to review this high-level introduction:\n", "* http://xarray.pydata.org/en/stable/why-xarray.html\n", "\n", ">\"xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!\n", "\n", ">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.\n", "\n", ">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.\"\n", "\n", "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.\n", "\n", "Why?\n", "* 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#\n", "* Lots of great tutorials and resources: https://xarray.pydata.org/en/stable/tutorials-and-videos.html\n", "* Big user community\n", "* 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\n", "\n", "Why not?\n", "* General means complicated\n", "* Steep learning curve, esp for new users unfamiliar with Pandas\n", "* Sometimes overkill for simple problems" ] }, { "cell_type": "markdown", "id": "105d1a35-d351-4e0e-b94a-667aac535905", "metadata": {}, "source": [ "## xarray data model overview\n", "So, what's an nD array? (https://docs.scipy.org/doc/numpy-1.13.0/reference/arrays.ndarray.html) You've been using them all quarter, but mostly 1D and 2D NumPy arrays. \n", "\n", "As with many of the packages we've covered this quarter, vocabulary can be one of the biggest blocks to learning. Let's discuss.\n", "\n", "![xarray image with labels](http://matthewrocklin.com/blog/images/xarray-boxes-2.png)\n", "(http://xarray.pydata.org/en/latest/data-structures.html#dataset)" ] }, { "cell_type": "markdown", "id": "9c9e82a1-50ba-4552-b115-db97951db953", "metadata": { "tags": [] }, "source": [ "### Comparison with Pandas\n", "\n", "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. \n", "* \"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)\n", "* https://xarray.pydata.org/en/stable/getting-started-guide/faq.html#should-i-use-xarray-instead-of-pandas\n", "* \"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)\n", "\n", "xarray extends the Pandas functionality to support 3+ dimensions (e.g., time series of 2D rasters).\n", "\n", "#### xarray is to Pandas...\n", "\n", "* xarray DataArray : Pandas DataSeries\n", "* xarray DataSet : Pandas DataFrame" ] }, { "cell_type": "markdown", "id": "f7fc0670-c822-4fd9-a816-41086ba1ea1f", "metadata": {}, "source": [ "## Terminology\n", "* https://xarray.pydata.org/en/stable/user-guide/terminology.html\n", "* https://xarray.pydata.org/en/latest/user-guide/data-structures.html#data-structures\n", "\n", "### DataArray\n", "Four essential pieces:\n", "* `values`: a numpy.ndarrays with actual data values (e.g., ('t2m', 'tp')\n", "* `dims`: dimension names for each axis (e.g., ('lon', 'lat', 'time'))\n", "* `coords`: a dict-like container of arrays (coordinates) that label each point (e.g., 1-dimensional arrays of numbers, datetime objects or strings)\n", "* `attrs`: an OrderedDict containing additional metadata (attributes)\n", "\n", "#### Why do we need both?\n", ">\"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.\"\n", "\n", "### Dataset\n", "* Essentially, a collection of DataArrays (like a dictionary of DataArrays)\n", "* http://xarray.pydata.org/en/latest/data-structures.html#dataset\n", "\n", "Notes:\n", "* One value in one of the contained arrays (say a single temperature measurement) usually has multiple coordinates ('lon', 'lat', 'time')" ] }, { "cell_type": "markdown", "id": "63faeae5-1f8b-463b-8e47-6fc6f4bb99a3", "metadata": {}, "source": [ "### Useful xarray examples and references\n", "* Indexing and selection: https://xarray.pydata.org/en/stable/user-guide/indexing.html\n", "* Plotting: https://xarray.pydata.org/en/stable/user-guide/plotting.html\n", "* Visualization examples: http://xarray.pydata.org/en/stable/examples/visualization_gallery.html\n", "* Time-series analysis: https://xarray.pydata.org/en/stable/user-guide/time-series.html\n", "* https://rabernat.github.io/research_computing/xarray.html" ] }, { "cell_type": "markdown", "id": "0305ce2c-b836-437a-a207-7a673938b9de", "metadata": {}, "source": [ "## netCDF format\n", "Much of the xarray design and functionality is derived from the NetCDF project:\n", "\n", ">\"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/]\n", "\n", ">\"Data in netCDF format is:\n", ">* Self-Describing. A netCDF file includes information about the data it contains.\n", ">* Portable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.\n", ">* Scalable. Small subsets of large datasets in various formats may be accessed efficiently through netCDF interfaces, even from remote servers.\n", ">* Appendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure.\n", ">* Sharable. One writer and multiple readers may simultaneously access the same netCDF file.\n", ">* Archivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software.\"\n", "\n", "\n", ">\"Commonly used in climatology, meteorology and oceanography applications (e.g., weather forecasting, climate change) and GIS applications.\" [https://en.wikipedia.org/wiki/NetCDF]" ] }, { "cell_type": "code", "execution_count": null, "id": "6c08b3aa-d43b-4641-b223-8ff0d364f862", "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "import os\n", "import geopandas as gpd\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "id": "d73a6465-6dda-4102-abbf-d61a32ab2d33", "metadata": {}, "source": [ "## Demo: Create simple DataArray\n", "* From https://xarray.pydata.org/en/latest/user-guide/data-structures.html#data-structures" ] }, { "cell_type": "code", "execution_count": null, "id": "134ea712-7c98-42c4-94f0-b0b5c4637b81", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0.59930315, 0.31652312, 0.17450757],\n", " [0.78045485, 0.08850642, 0.93117557],\n", " [0.40051498, 0.10657858, 0.60082638],\n", " [0.53881418, 0.055851 , 0.45250818]])" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = np.random.rand(4, 3)\n", "data" ] }, { "cell_type": "code", "execution_count": null, "id": "0b781cba-b66c-44f6-ae47-26f33c3405aa", "metadata": {}, "outputs": [], "source": [ "#xr.DataArray?" ] }, { "cell_type": "code", "execution_count": null, "id": "15184cd1-cd95-4057-b342-540718f599a0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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codenamenetworkelevation_msite_propertygeometry
index
SNOTEL:301_CA_SNTL301_CA_SNTLAdin MtnSNOTEL1886.712036{'county': 'Modoc', 'state': 'California', 'si...POINT (-120.79192 41.23583)
SNOTEL:907_UT_SNTL907_UT_SNTLAgua CanyonSNOTEL2712.719971{'county': 'Kane', 'state': 'Utah', 'site_comm...POINT (-112.27118 37.52217)
SNOTEL:916_MT_SNTL916_MT_SNTLAlbro LakeSNOTEL2529.840088{'county': 'Madison', 'state': 'Montana', 'sit...POINT (-111.95902 45.59723)
SNOTEL:908_WA_SNTL908_WA_SNTLAlpine MeadowsSNOTEL1066.800049{'county': 'King', 'state': 'Washington', 'sit...POINT (-121.69847 47.77957)
SNOTEL:302_OR_SNTL302_OR_SNTLAneroid Lake #2SNOTEL2255.520020{'county': 'Wallowa', 'state': 'Oregon', 'site...POINT (-117.19258 45.21328)
.....................
SNOTEL:877_AZ_SNTL877_AZ_SNTLWorkman CreekSNOTEL2103.120117{'county': 'Gila', 'state': 'Arizona', 'site_c...POINT (-110.91773 33.81242)
SNOTEL:1228_UT_SNTL1228_UT_SNTLWrigley CreekSNOTEL2842.869629{'county': 'Sanpete', 'state': 'Utah', 'site_c...POINT (-111.35685 39.13233)
SNOTEL:1197_UT_SNTL1197_UT_SNTLYankee ReservoirSNOTEL2649.321533{'county': 'Iron', 'state': 'Utah', 'site_comm...POINT (-112.77495 37.74797)
SNOTEL:878_WY_SNTL878_WY_SNTLYounts PeakSNOTEL2545.080078{'county': 'Park', 'state': 'Wyoming', 'site_c...POINT (-109.81775 43.93225)
SNOTEL:1033_CO_SNTL1033_CO_SNTLZirkelSNOTEL2846.832031{'county': 'Jackson', 'state': 'Colorado', 'si...POINT (-106.59535 40.79488)
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\n", "\n", " SNOTEL:1228_UT_SNTL SNOTEL:1197_UT_SNTL \\\n", "datetime \n", "1963-10-01 00:00:00+00:00 NaN NaN \n", "1963-10-02 00:00:00+00:00 NaN NaN \n", "1963-10-03 00:00:00+00:00 NaN NaN \n", "1963-10-04 00:00:00+00:00 NaN NaN \n", "1963-10-05 00:00:00+00:00 NaN NaN \n", "... ... ... \n", "2022-02-23 00:00:00+00:00 7.2 5.9 \n", "2022-02-24 00:00:00+00:00 7.2 6.1 \n", "2022-02-25 00:00:00+00:00 7.2 6.1 \n", "2022-02-26 00:00:00+00:00 7.4 5.9 \n", "2022-02-27 00:00:00+00:00 7.4 6.1 \n", "\n", " SNOTEL:878_WY_SNTL SNOTEL:1033_CO_SNTL \n", "datetime \n", "1963-10-01 00:00:00+00:00 NaN NaN \n", "1963-10-02 00:00:00+00:00 NaN NaN \n", "1963-10-03 00:00:00+00:00 NaN NaN \n", "1963-10-04 00:00:00+00:00 NaN NaN \n", "1963-10-05 00:00:00+00:00 NaN NaN \n", "... ... ... \n", "2022-02-23 00:00:00+00:00 10.7 19.3 \n", "2022-02-24 00:00:00+00:00 10.9 19.6 \n", "2022-02-25 00:00:00+00:00 11.1 19.6 \n", "2022-02-26 00:00:00+00:00 11.0 19.7 \n", "2022-02-27 00:00:00+00:00 11.1 19.6 \n", "\n", "[21335 rows x 796 columns]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "allsites_wteq_df.dropna(how='all', axis=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "9a2c700c-5dd4-4fec-bd65-9c82a50cb110", "metadata": {}, "outputs": [], "source": [ "#allsites_snwd_df.to_xarray()" ] }, { "cell_type": "markdown", "id": "e3d8e8f7-16a9-4c37-900f-97af1b9b8854", "metadata": {}, "source": [ "### Note difference in number of records and columns\n", "* Some stations have one but not the other\n", "* WTEQ extends farther back in time" ] }, { "cell_type": "code", "execution_count": null, "id": "c08e3e99-2aa7-481a-99aa-a050e4c2e0e2", "metadata": {}, "outputs": [], "source": [ "def get_DataArray(df, sites, name=\"SNWD_D\"):\n", " valid_sites = sites.loc[df.columns]\n", " \n", " site_id = valid_sites.index.values\n", " lon = valid_sites.geometry.x.values\n", " lat = valid_sites.geometry.y.values\n", " elev = valid_sites.elevation_m.values\n", " site_name = valid_sites.name.values\n", " \n", " #da = xr.DataArray(df, dims=(\"time\", \"site_id\"), name=name)\n", " da = xr.DataArray(df, dims=(\"time\", \"site_id\"), coords=(df.index.values, site_id), name=name)\n", " #For some reason, the times are not read as datetime64 objects, so reassign\n", " da[\"time\"] = df.index.values\n", " da = da.assign_coords(lon=(\"site_id\", lon), lat=(\"site_id\", lat), elev=(\"site_id\", elev))\n", " return da" ] }, { "cell_type": "code", "execution_count": null, "id": "f3b056da-1af6-4397-80e4-b47a18ff47ae", "metadata": {}, "outputs": [], "source": [ "#sites_gdf_all.to_xarray()" ] }, { "cell_type": "code", "execution_count": null, "id": "d57e380b-783f-4489-bde0-813ca80e2e51", "metadata": {}, "outputs": [], "source": [ "snwd_da = get_DataArray(allsites_snwd_df, sites_gdf_all, name=\"SNWD_D\")" ] }, { "cell_type": "code", "execution_count": null, "id": "3db37735-ad4f-4785-9b6d-ef08357745d2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'SNWD_D' (time: 10439, site_id: 805)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [27., 18., 44., ..., 18., 30., 56.],\n",
       "       [26., 19., 43., ..., 18., 30., 57.],\n",
       "       [25., 18., 43., ..., 17., 30., 55.]])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2022-02-20\n",
       "  * site_id  (site_id) object 'Adin Mtn' 'Agua Canyon' ... 'Zirkel'\n",
       "    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n",
       "    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n",
       "    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03
" ], "text/plain": [ "\n", "array([[nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " ...,\n", " [27., 18., 44., ..., 18., 30., 56.],\n", " [26., 19., 43., ..., 18., 30., 57.],\n", " [25., 18., 43., ..., 17., 30., 55.]])\n", "Coordinates:\n", " * time (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2022-02-20\n", " * site_id (site_id) object 'Adin Mtn' 'Agua Canyon' ... 'Zirkel'\n", " lon (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n", " lat (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n", " elev (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "snwd_da" ] }, { "cell_type": "code", "execution_count": null, "id": "6bdf63aa-115f-4fc7-b786-d2f144dd5a24", "metadata": {}, "outputs": [], "source": [ "snwd_da.attrs['description'] = 'SNOTEL snow depth measurements'" ] }, { "cell_type": "code", "execution_count": null, "id": "d6a869f0-8ba6-4c07-8ec1-bd5e7a685374", "metadata": {}, "outputs": [], "source": [ "snwd_da.attrs['units'] = 'inches'" ] }, { "cell_type": "code", "execution_count": null, "id": "8568aaa3-f2bd-4479-bab3-e7bfaf3fdffe", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'SNWD_D' (time: 10439, site_id: 805)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [27., 18., 44., ..., 18., 30., 56.],\n",
       "       [26., 19., 43., ..., 18., 30., 57.],\n",
       "       [25., 18., 43., ..., 17., 30., 55.]])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2022-02-20\n",
       "  * site_id  (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n",
       "    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n",
       "    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n",
       "    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03\n",
       "Attributes:\n",
       "    description:  SNOTEL snow depth measurements\n",
       "    units:        inches
" ], "text/plain": [ "\n", "array([[nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " [nan, nan, nan, ..., nan, nan, nan],\n", " ...,\n", " [27., 18., 44., ..., 18., 30., 56.],\n", " [26., 19., 43., ..., 18., 30., 57.],\n", " [25., 18., 43., ..., 17., 30., 55.]])\n", "Coordinates:\n", " * time (time) datetime64[ns] 1984-10-01 1984-10-02 ... 2022-02-20\n", " * site_id (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n", " lon (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n", " lat (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n", " elev (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03\n", "Attributes:\n", " description: SNOTEL snow depth measurements\n", " units: inches" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "snwd_da" ] }, { "cell_type": "code", "execution_count": null, "id": "ba67d553-1b67-4fda-83b6-46939f494cd6", "metadata": {}, "outputs": [], "source": [ "wteq_da = get_DataArray(allsites_wteq_df, sites_gdf_all, name=\"WTEQ_D\")" ] }, { "cell_type": "code", "execution_count": null, "id": "c574feba-15b5-476e-b622-9f699e35228b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'WTEQ_D' (time: 21335, site_id: 796)>\n",
       "array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       ...,\n",
       "       [ 9.8,  6.8, 12.5, ...,  6.1, 11.1, 19.6],\n",
       "       [ 9.9,  6.7, 12.5, ...,  5.9, 11. , 19.7],\n",
       "       [ 9.9,  6.7, 12.6, ...,  6.1, 11.1, 19.6]])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "  * site_id  (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n",
       "    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n",
       "    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n",
       "    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03
" ], "text/plain": [ "\n", "array([[ nan, nan, nan, ..., nan, nan, nan],\n", " [ nan, nan, nan, ..., nan, nan, nan],\n", " [ nan, nan, nan, ..., nan, nan, nan],\n", " ...,\n", " [ 9.8, 6.8, 12.5, ..., 6.1, 11.1, 19.6],\n", " [ 9.9, 6.7, 12.5, ..., 5.9, 11. , 19.7],\n", " [ 9.9, 6.7, 12.6, ..., 6.1, 11.1, 19.6]])\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " * site_id (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n", " lon (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n", " lat (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n", " elev (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wteq_da" ] }, { "cell_type": "code", "execution_count": null, "id": "d33f4233-eb1d-420d-9d8b-3be9e8e0d3b3", "metadata": {}, "outputs": [], "source": [ "wteq_da.attrs['units'] = 'inches w.e.'\n", "wteq_da.attrs['description'] = 'SNOTEL snow water equivalent measurements'" ] }, { "cell_type": "code", "execution_count": null, "id": "c8670182-aa6e-4426-beb4-da9ed7814d3e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'WTEQ_D' (time: 21335, site_id: 796)>\n",
       "array([[ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       [ nan,  nan,  nan, ...,  nan,  nan,  nan],\n",
       "       ...,\n",
       "       [ 9.8,  6.8, 12.5, ...,  6.1, 11.1, 19.6],\n",
       "       [ 9.9,  6.7, 12.5, ...,  5.9, 11. , 19.7],\n",
       "       [ 9.9,  6.7, 12.6, ...,  6.1, 11.1, 19.6]])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "  * site_id  (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n",
       "    lon      (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n",
       "    lat      (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n",
       "    elev     (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03\n",
       "Attributes:\n",
       "    units:        inches w.e.\n",
       "    description:  SNOTEL snow water equivalent measurements
" ], "text/plain": [ "\n", "array([[ nan, nan, nan, ..., nan, nan, nan],\n", " [ nan, nan, nan, ..., nan, nan, nan],\n", " [ nan, nan, nan, ..., nan, nan, nan],\n", " ...,\n", " [ 9.8, 6.8, 12.5, ..., 6.1, 11.1, 19.6],\n", " [ 9.9, 6.7, 12.5, ..., 5.9, 11. , 19.7],\n", " [ 9.9, 6.7, 12.6, ..., 6.1, 11.1, 19.6]])\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " * site_id (site_id) object 'SNOTEL:301_CA_SNTL' ... 'SNOTEL:1033_CO_SNTL'\n", " lon (site_id) float64 -120.8 -112.3 -112.0 ... -112.8 -109.8 -106.6\n", " lat (site_id) float64 41.24 37.52 45.6 47.78 ... 37.75 43.93 40.79\n", " elev (site_id) float64 1.887e+03 2.713e+03 ... 2.545e+03 2.847e+03\n", "Attributes:\n", " units: inches w.e.\n", " description: SNOTEL snow water equivalent measurements" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wteq_da" ] }, { "cell_type": "markdown", "id": "a16dee9f-c839-4a9a-ba78-e83e71962f70", "metadata": {}, "source": [ "### Merge the two DataArrays into a single DataSet" ] }, { "cell_type": "code", "execution_count": null, "id": "c5a64477-4fb5-4d37-9628-4b6bde8d9c13", "metadata": {}, "outputs": [], "source": [ "ds = xr.merge([snwd_da, wteq_da])" ] }, { "cell_type": "code", "execution_count": null, "id": "9f4e3ce2-b23c-4aaf-8218-d0fb00e97e59", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.Dataset>\n",
       "Dimensions:  (time: 21335, site_id: 808)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n",
       "    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7\n",
       "    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76\n",
       "    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03\n",
       "Data variables:\n",
       "    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan 6.8 75.0 40.6\n",
       "Attributes:\n",
       "    description:  SNOTEL snow depth measurements\n",
       "    units:        inches
" ], "text/plain": [ "\n", "Dimensions: (time: 21335, site_id: 808)\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " * site_id (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n", " lon (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7\n", " lat (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76\n", " elev (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03\n", "Data variables:\n", " SNWD_D (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan\n", " WTEQ_D (time, site_id) float64 nan nan nan nan nan ... nan 6.8 75.0 40.6\n", "Attributes:\n", " description: SNOTEL snow depth measurements\n", " units: inches" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "code", "execution_count": null, "id": "aa9c7355-9c05-422b-a78e-3ef4aed02e1f", "metadata": {}, "outputs": [], "source": [ "ds.attrs = {}" ] }, { "cell_type": "code", "execution_count": null, "id": "65244f2a-13c7-48a3-93e7-43dd426889d1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:  (time: 21335, site_id: 808)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n",
       "    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7\n",
       "    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76\n",
       "    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03\n",
       "Data variables:\n",
       "    SNWD_D   (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan\n",
       "    WTEQ_D   (time, site_id) float64 nan nan nan nan nan ... nan 6.8 75.0 40.6
" ], "text/plain": [ "\n", "Dimensions: (time: 21335, site_id: 808)\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " * site_id (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n", " lon (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7\n", " lat (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76\n", " elev (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03\n", "Data variables:\n", " SNWD_D (time, site_id) float64 nan nan nan nan nan ... nan nan nan nan nan\n", " WTEQ_D (time, site_id) float64 nan nan nan nan nan ... nan 6.8 75.0 40.6" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "markdown", "id": "924c754f-f37e-4ddb-bcec-17f9087c34bd", "metadata": {}, "source": [ "### Write out as NetCDF file\n", "* Better than random pickle file" ] }, { "cell_type": "code", "execution_count": null, "id": "078fb05b-41d3-4a88-9527-d046eeb095f7", "metadata": {}, "outputs": [], "source": [ "out_fn = os.path.join(snotel_datadir, 'SNOTEL_CONUS_all.nc')" ] }, { "cell_type": "code", "execution_count": null, "id": "0f4bfdcf-e5de-4252-8286-47750f32d0da", "metadata": {}, "outputs": [], "source": [ "#ds.to_netcdf?" ] }, { "cell_type": "code", "execution_count": null, "id": "13b8e8ba-be00-4054-bb92-f2eb6886dfb4", "metadata": {}, "outputs": [], "source": [ "ds.to_netcdf(out_fn)" ] }, { "cell_type": "code", "execution_count": null, "id": "08e3b351-716b-4999-9ced-fdff7960fedc", "metadata": {}, "outputs": [], "source": [ "reopened = xr.open_dataset(out_fn)" ] }, { "cell_type": "code", "execution_count": null, "id": "1ca68040-3956-41a1-a9b8-74fef33b067b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.Dataset>\n",
       "Dimensions:  (time: 21335, site_id: 808)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "  * site_id  (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n",
       "    lon      (site_id) float64 -122.2 -105.4 -116.9 ... -110.8 -121.4 -121.7\n",
       "    lat      (site_id) float64 42.87 37.61 40.36 46.91 ... 40.89 48.86 48.76\n",
       "    elev     (site_id) float64 1.832e+03 3.246e+03 ... 1.606e+03 1.073e+03\n",
       "Data variables:\n",
       "    SNWD_D   (time, site_id) float64 ...\n",
       "    WTEQ_D   (time, site_id) float64 ...
" ], "text/plain": [ "\n", "Dimensions: (time: 21335, site_id: 808)\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " * site_id (site_id) object 'SNOTEL:1000_OR_SNTL' ... 'SNOTEL:999_WA_SNTL'\n", " lon (site_id) float64 ...\n", " lat (site_id) float64 ...\n", " elev (site_id) float64 ...\n", "Data variables:\n", " SNWD_D (time, site_id) float64 ...\n", " WTEQ_D (time, site_id) float64 ..." ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reopened" ] }, { "cell_type": "markdown", "id": "707ce853-3b9e-4d4e-823a-5ad1cd0dce93", "metadata": {}, "source": [ "## Isolate one site" ] }, { "cell_type": "code", "execution_count": null, "id": "cbd1f043-aa66-4ae2-9315-cfa0a5680e45", "metadata": {}, "outputs": [], "source": [ "sitecode = 'SNOTEL:679_WA_SNTL'" ] }, { "cell_type": "code", "execution_count": null, "id": "9ddc0817-2e7e-466e-b3fe-6d1063af1ade", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:  (time: 21335)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "    site_id  <U18 'SNOTEL:679_WA_SNTL'\n",
       "    lon      float64 -121.7\n",
       "    lat      float64 46.78\n",
       "    elev     float64 1.564e+03\n",
       "Data variables:\n",
       "    SNWD_D   (time) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
       "    WTEQ_D   (time) float64 nan nan nan nan nan nan ... 51.1 51.2 51.3 51.4 52.0
" ], "text/plain": [ "\n", "Dimensions: (time: 21335)\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " site_id \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'WTEQ_D' (time: 21335)>\n",
       "array([ nan,  nan,  nan, ..., 51.3, 51.4, 52. ])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n",
       "    site_id  <U18 'SNOTEL:679_WA_SNTL'\n",
       "    lon      float64 -121.7\n",
       "    lat      float64 46.78\n",
       "    elev     float64 1.564e+03\n",
       "Attributes:\n",
       "    units:        inches w.e.\n",
       "    description:  SNOTEL snow water equivalent measurements
" ], "text/plain": [ "\n", "array([ nan, nan, nan, ..., 51.3, 51.4, 52. ])\n", "Coordinates:\n", " * time (time) datetime64[ns] 1963-10-01 1963-10-02 ... 2022-02-27\n", " site_id " ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ds.sel(site_id=sitecode).WTEQ_D.plot();" ] }, { "cell_type": "code", "execution_count": null, "id": "e8243010-3f76-4003-a5e4-989b3255a84a", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ds.sel(site_id=sitecode).plot.scatter(x=\"SNWD_D\", y=\"WTEQ_D\", s=1, c=ds.isel(site_id=0)['time'])" ] }, { "cell_type": "code", "execution_count": null, "id": "b1d31f2f-4d69-4787-a6d4-0f6bad422b61", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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