{ "cells": [ { "cell_type": "markdown", "id": "6fbe1891-d178-4863-aff1-8047aba89e00", "metadata": {}, "source": [ "# API Calculation with Xarray + Dask\n", "**Scott Wales, CLEX CMS**\n", "\n", "Let's look at how we can calculate the [antecedent precipitation index (API)](https://glossary.ametsoc.org/wiki/Antecedent_precipitation_index) on a large dataset with Xarray and Dask.\n", "\n", "API is defined from precipitation in a recursive way:\n", "```\n", "API(t0) = precip(t0)\n", "API(t) = k * API(t - 1) + precip(t)\n", "```\n", "with k < 1, so that precipitation on previous days impacts the API but that impact decays over time.\n", "\n", "To start out with, let's import some libraries and set up a Dask cluster - I'm running this notebook on https://ood.nci.org.au" ] }, { "cell_type": "code", "execution_count": 1, "id": "c8a654d5-8f9d-4a70-b15f-9197b11cc571", "metadata": {}, "outputs": [], "source": [ "import xarray\n", "import numpy\n", "import dask.array\n", "import matplotlib.pyplot as plt\n", "\n", "xarray.set_options(display_expand_data=False);" ] }, { "cell_type": "code", "execution_count": 2, "id": "7d655069-082f-49a4-a6a3-5d64befb1802", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import climtas.nci\n", "climtas.nci.Client()" ] }, { "cell_type": "markdown", "id": "f2616a91-6bf2-41fa-a694-99da63552e2e", "metadata": {}, "source": [ "For our sample dataset, I'll use FROGs, which provides precip from a number of datasets regridded to a common one degree grid. The data is chunked by default with one chunk per year in the time axis, since that's how the files themselves are split up." ] }, { "cell_type": "code", "execution_count": 3, "id": "1d1ce0fd-74f8-4bee-88b6-36bfbe0b98a3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.DataArray 'rain' (time: 15341, lat: 180, lon: 360)>\n",
       "dask.array<chunksize=(365, 180, 360), meta=np.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01T13:30:00 ... 2020-12-31\n",
       "  * lon      (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "Attributes:\n",
       "    standard_name:  lwe_precipitation_rate\n",
       "    long_name:      Total precipitation, ERA5 reanalysis daily accumulated ra...\n",
       "    units:          mm/day\n",
       "    comment:        This daily precipitation is prepared by creating a accumu...
" ], "text/plain": [ "\n", "dask.array\n", "Coordinates:\n", " * time (time) datetime64[ns] 1979-01-01T13:30:00 ... 2020-12-31\n", " * lon (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n", " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n", "Attributes:\n", " standard_name: lwe_precipitation_rate\n", " long_name: Total precipitation, ERA5 reanalysis daily accumulated ra...\n", " units: mm/day\n", " comment: This daily precipitation is prepared by creating a accumu..." ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = xarray.open_mfdataset('/g/data/ua8/Precipitation/FROGs/1DD_V1/ERA5/*.nc')\n", "precip = ds.rain\n", "precip" ] }, { "cell_type": "markdown", "id": "36d63fc8-0afa-4ff3-b8d1-d4895df86403", "metadata": {}, "source": [ "## Calculation on a single point\n", "\n", "To start out with, let's make sure we can do the calculation on a single grid point.\n", "\n", "Start out by saving the grid point's precip time series in a variable" ] }, { "cell_type": "code", "execution_count": 4, "id": "8a86184c-b42a-4090-a47d-880d2d98a662", "metadata": {}, "outputs": [], "source": [ "precip_mel = precip.sel(lat=-37.81, lon=144.96, method='nearest').load()" ] }, { "cell_type": "markdown", "id": "6ab4fa38-d7d8-446c-8f24-34a761596e7e", "metadata": {}, "source": [ "```{admonition} Why the .load()?\n", "I've done a `.load()` here because we'll be looping over time. Without the `.load()` Dask will try to read from the file at every loop iteration, with it it will only read from the file once - though this does come at the cost of more memory usage so we need to be carefull of how large the grid is that we're loading.\n", "```\n", "\n", "Now we can do the calculation. {func}`numpy.zeros_like` will create an empty array that's the same shape as the input array, which we'll use to store the API values. Then we can just implement the algorithm with a loop" ] }, { "cell_type": "code", "execution_count": 5, "id": "b6682b38-8d35-4751-b231-e696e6b5b58b", "metadata": {}, "outputs": [], "source": [ "# Empty array to store the output\n", "api_mel = numpy.zeros_like(precip_mel)\n", "\n", "k = 0.95\n", "\n", "# Initial value is precip(t0)\n", "api_mel[0] = precip_mel[0]\n", "\n", "# Following values are k * api(t - 1) + precip(t)\n", "for i in range(1, len(precip_mel)):\n", " api_mel[i] = k * api_mel[i - 1] + precip_mel[i]" ] }, { "cell_type": "markdown", "id": "0c1c1242-31cc-4443-849b-7c80bc995b5b", "metadata": {}, "source": [ "Plotting the values they look ok, API is higher than the original precip values because of the accumulation but has the same sort of peak structure showing the decay is working as well." ] }, { "cell_type": "code", "execution_count": 6, "id": "09b41961-ddf1-4fb9-af01-1862db3bf66f", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20,10))\n", "plt.plot(precip_mel.time, api_mel, label='API')\n", "plt.plot(precip_mel.time, precip_mel, label='precip')\n", "plt.legend();" ] }, { "cell_type": "markdown", "id": "cce9a64b-6b61-4187-b610-1b829339ce1f", "metadata": {}, "source": [ "## Calculation over the whole grid\n", "\n", "With the caluclation working on a single grid point, let's look at expanding it to the whole grid. It's generally much more efficient to work on the whole grid at once, rather than single grid points one at a time, because of the way data gets laid out in the file.\n", "\n", "The calculation looks much like the single grid point calculation, we've just added the extra dimensions when indexing the arrays" ] }, { "cell_type": "code", "execution_count": 7, "id": "0ada509b-d36d-4e60-9a15-87b0a1cf383c", "metadata": {}, "outputs": [], "source": [ "precip_year = precip.sel(time='1980').load()\n", "\n", "api_year = numpy.zeros_like(precip_year)\n", "\n", "api_year[0,:,:] = precip_year[0,:,:]\n", "\n", "for i in range(1, precip_year.sizes['time']):\n", " api_year[i,:,:] = k * api_year[i - 1,:,:] + precip_year[i,:,:]" ] }, { "cell_type": "markdown", "id": "1a48fc77-cebd-41ab-86ef-ccf25e0c4b78", "metadata": {}, "source": [ "A quick plot of the final time looks reasonable" ] }, { "cell_type": "code", "execution_count": 8, "id": "18d1a78c-297b-4541-9150-7884955ad828", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20,10))\n", "plt.pcolormesh(api_year[-1, :, :], cmap='Blues');" ] }, { "cell_type": "markdown", "id": "023677e1-e7ab-498d-b8c3-77c3e2226646", "metadata": {}, "source": [ "We've calculated a year of data, so let's save it to a netcdf file. First convert the numpy array to an xarray object - we can grab the coordinates from the original precip data, then save to file with {func}`xarray.DataArray.to_netcdf`" ] }, { "cell_type": "code", "execution_count": 9, "id": "0b7bccdf-3bca-4d64-a8d2-07a009c5cb25", "metadata": {}, "outputs": [], "source": [ "api_year = xarray.DataArray(api_year, name='api', coords=precip_year.coords)\n", "api_year.to_netcdf('/local/w35/saw562/tmp/frogs_era5_api_1980.nc')" ] }, { "cell_type": "markdown", "id": "6f364ffc-17e3-483d-a93c-c032b91e9075", "metadata": {}, "source": [ "## Convert to a function\n", "\n", "With a single year working we should make a function to consolidate where we've got to so far and to make sure we can easily change the year, without needing to do lots of copying and pasting.\n", "\n", "This won't be the final function, for now this will only work properly for 1980, but it's important to be methodical and make sure what we've already done is still working." ] }, { "cell_type": "code", "execution_count": 10, "id": "22b9bfcd-abe1-488e-a388-93af9b595694", "metadata": {}, "outputs": [], "source": [ "def api_at_year(precip, year):\n", " \"\"\"\n", " Returns the API measure for a given year\n", " \"\"\"\n", " precip_year = precip.sel(time=year).load()\n", "\n", " api_year = numpy.zeros_like(precip_year)\n", "\n", " api_year[0,:,:] = precip_year[0,:,:]\n", "\n", " for i in range(1, precip_year.sizes['time']):\n", " api_year[i,:,:] = k * api_year[i - 1,:,:] + precip_year[i,:,:]\n", " \n", " api_year = xarray.DataArray(api_year, name='api', coords=precip_year.coords)\n", " \n", " return api_year" ] }, { "cell_type": "code", "execution_count": 11, "id": "79a7504f-f5b8-4cf5-9b40-db4c55c26177", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1.27 s, sys: 262 ms, total: 1.53 s\n", "Wall time: 2.34 s\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'api' (time: 366, lat: 180, lon: 360)>\n",
       "0.01768 0.01768 0.01768 0.01768 0.01632 ... 4.527 4.523 4.533 4.528 4.527\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1980-01-01T12:00:00 ... 1980-12-31T12:00:00\n",
       "  * lon      (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5
" ], "text/plain": [ "\n", "0.01768 0.01768 0.01768 0.01768 0.01632 ... 4.527 4.523 4.533 4.528 4.527\n", "Coordinates:\n", " * time (time) datetime64[ns] 1980-01-01T12:00:00 ... 1980-12-31T12:00:00\n", " * lon (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n", " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "api_at_year(precip, '1980')" ] }, { "cell_type": "markdown", "id": "ce3708af-3995-4568-a71b-6558d134de77", "metadata": {}, "source": [ "## Passing the last timestep\n", "\n", "With a basic function written we can now think about how to fix its problems. You might have noticed that in the previous function each year is calculated independently, so\n", "```\n", "API[1981-01-01] = precip[1981-01-01]\n", "```\n", "when it should in fact be\n", "```\n", "API[1981-01-01] = k * API[1980-12-31] + precip[1981-01-01]\n", "```\n", "\n", "We need some way to pass in the previous year's api values to our function, but only if we're not calculating the first year. We can do this with an argument that defaults to `None`, which looks like\n", "```python\n", "def api_at_year(precip, year, previous_api = None):\n", "```\n", "\n", "If a value is not given, like `api_at_year(precip, '1980')` then `previous_api` will be `None`, which we can check with an if statement:\n", "```python\n", "if previous_api is None:\n", " # First year\n", " api_year[0,:,:] = precip_year[0,:,:]\n", "```\n", "\n", "If we do pass a `previous_api` value, like `api_at_year(precip, '1981', api_1980)`, then we follow the else branch to use the correct formula:\n", "```python\n", "else:\n", " # Following years\n", " api_year[0,:,:] = k * previous_api[-1,:,:] + precip_year[0,:,:]\n", "```" ] }, { "cell_type": "code", "execution_count": 12, "id": "92131056-e015-4f59-828a-1ce5bb78a96c", "metadata": {}, "outputs": [], "source": [ "def api_at_year(precip, year, previous_api = None):\n", " \"\"\"\n", " Returns the API measure for a given year\n", " \"\"\"\n", " precip_year = precip.sel(time=year).load()\n", "\n", " api_year = numpy.zeros_like(precip_year)\n", "\n", " if previous_api is None:\n", " # First year\n", " api_year[0,:,:] = precip_year[0,:,:]\n", " else:\n", " # Following years\n", " api_year[0,:,:] = k * previous_api[-1,:,:] + precip_year[0,:,:]\n", "\n", " for i in range(1, precip_year.sizes['time']):\n", " api_year[i,:,:] = k * api_year[i - 1,:,:] + precip_year[i,:,:]\n", " \n", " api_year = xarray.DataArray(api_year, name='api', coords=precip_year.coords)\n", " \n", " return api_year" ] }, { "cell_type": "markdown", "id": "2469bb19-4db3-4047-b82f-f10dc2cd93d2", "metadata": {}, "source": [ "Now we can call the function multiple times for each year. We could store each year's values in its own variable, like\n", "```python\n", "api_1980 = api_at_year(precip, '1980')\n", "api_1981 = api_at_year(precip, '1981', previous_api = api_1980)\n", "```\n", "but these variables will then stick around and fill up memory. It's better to save the values to file as we go, re-using the variable name:" ] }, { "cell_type": "code", "execution_count": 13, "id": "61a21daf-414b-4288-823a-f3e371c39f2a", "metadata": {}, "outputs": [], "source": [ "api = api_at_year(precip, '1980')\n", "api.to_netcdf('/local/w35/saw562/tmp/frogs_era5_api_1980.nc')\n", "\n", "api = api_at_year(precip, '1981', previous_api = api)\n", "api.to_netcdf('/local/w35/saw562/tmp/frogs_era5_api_1981.nc')\n", "\n", "api = api_at_year(precip, '1982', previous_api = api)\n", "api.to_netcdf('/local/w35/saw562/tmp/frogs_era5_api_1982.nc')" ] }, { "cell_type": "markdown", "id": "0e05b74f-6f44-47bb-9a41-e38514c7b45a", "metadata": {}, "source": [ "````{note}\n", "Remember that everything on the right side of an assignment `=` gets evaluated before the variable is assigned, so in\n", "```python\n", "api = api_at_year(precip, '1981', previous_api = api)\n", "```\n", "the `api` on the right side refers to the value from the previous assignment, so the 1980 values\n", "````\n", "\n", "There's obvious repetition here, so we may as well convert it to a loop rather than writing the same two lines multiple times. I've set `api` to `None` explicitly so that 1980 looks the same as the rest of the years, it will still take the `if previous_api is None` branch of the if statement" ] }, { "cell_type": "code", "execution_count": 14, "id": "a3774a01-f6e0-4d1c-a35b-b2471eee1ad9", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1980\n", "1981\n", "1982\n", "1983\n", "1984\n", "1985\n", "1986\n", "1987\n", "1988\n", "1989\n" ] } ], "source": [ "api = None\n", "\n", "for year in range(1980, 1990):\n", " print(year)\n", " api = api_at_year(precip, str(year), previous_api = api)\n", " api.to_netcdf(f'/local/w35/saw562/tmp/frogs_era5_api_{year}.nc')" ] }, { "cell_type": "markdown", "id": "b16df219-e2d5-4a8c-823a-08b97c3bbd45", "metadata": {}, "source": [ "Check that the files were properly created as expected - you may also want to try plotting some of the values in these files" ] }, { "cell_type": "code", "execution_count": 15, "id": "fd8cd143-e17f-4e71-8346-aeb0abe7e310", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/local/w35/saw562/tmp/frogs_era5_api_1980.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1981.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1982.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1983.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1984.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1985.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1986.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1987.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1988.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_1989.nc\n", "/local/w35/saw562/tmp/frogs_era5_api_full.nc\n" ] } ], "source": [ "! ls /local/w35/saw562/tmp/frogs_era5_api_*.nc" ] }, { "cell_type": "markdown", "id": "65053077-a853-4458-81d1-629edab57d14", "metadata": {}, "source": [ "## Pure Dask (Advanced)\n", "\n", "What we've done so far works well as long as a year's worth of data fits into memory. If it doesn't you can always split the data more finely, say by splitting the data by month instead of year.\n", "\n", "Another way to go about it is to use the Dask chunks as the mechanism to split the data. The basic idea is very similar to what we've already done, we just need to learn how to do the loop over dask chunks instead of years.\n", "\n", "Dask provides the {func}`dask.array.map_blocks` function that allows you to run a function on every chunk of an array. We do lose all of the Xarray metadata when we use this, we can only use basic numpy array functions. Here's the stripped down function we'll use with `map_blocks`:" ] }, { "cell_type": "code", "execution_count": 16, "id": "a5479c2e-5fe2-487d-84f4-757f1a2f6808", "metadata": {}, "outputs": [], "source": [ "def api_block(block, prev):\n", " \"\"\"\n", " Returns the API measure for a dask chunk\n", " \n", " Args:\n", " block: a 3d numpy array with precip values, \n", " time should be the first dimension\n", " \n", " prev: a 2d numpy array with the api value \n", " immediately preceding the first time in\n", " block, or None if this is the first time\n", " step\n", " \"\"\"\n", " api = numpy.zeros_like(block)\n", "\n", " if prev is None:\n", " api[0,:,:] = block[0,:,:]\n", " else:\n", " api[0,:,:] = k * prev + block[0,:,:]\n", "\n", " for i in range(1, block.shape[0]):\n", " api[i,:,:] = k * api[i - 1,:,:] + block[i,:,:]\n", " \n", " return api" ] }, { "cell_type": "markdown", "id": "65109bb8-8f0b-488b-9260-9abfe6858b49", "metadata": {}, "source": [ "`map_blocks` runs the function on each chunk independently, which is fine if the data is chunked horizontally but if the chunking is over time then we need some way of passing in the previous time's API value.\n", "\n", "Let's re-open the original dataset, adding some horizontal chunking this time, and see how we can deal with the previous timesteps. {attr}`~xarray.DataArray.data` will give you the Dask array from an Xarray object" ] }, { "cell_type": "code", "execution_count": 17, "id": "27a8cc9d-365e-4046-8c39-a77ff944c158", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ "dask.array" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds = xarray.open_mfdataset('/g/data/ua8/Precipitation/FROGs/1DD_V1/ERA5/*.nc', chunks={'lat': 90, 'lon': 90})\n", "precip = ds.rain\n", "precip.data" ] }, { "cell_type": "markdown", "id": "1ce61b35-66c0-40ca-88e6-e1a86d1ca4f0", "metadata": {}, "source": [ "Once we have a Dask array, {attr}`dask.array.Array.blocks` lets us access the individual chunks. We can index `.blocks` as if it were a numpy array" ] }, { "cell_type": "code", "execution_count": 18, "id": "888db5cc-6263-4940-bacc-37d20775e2ef", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ "dask.array" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "precip.data.blocks[4,1,3]" ] }, { "cell_type": "markdown", "id": "87b7cc65-026b-4d30-9b4d-273de415c635", "metadata": {}, "source": [ "We can also iterate over `.blocks`, which will iterate over the first dimension, giving all the lat and lon chunks for that time chunk" ] }, { "cell_type": "code", "execution_count": 19, "id": "0a9d749d-d34e-4e2d-972c-328ec4e3b995", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ "dask.array" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for block in precip.data.blocks:\n", " display(block)\n", " break" ] }, { "cell_type": "markdown", "id": "39cb5239-a779-4cda-90d3-c34bc7c9cff9", "metadata": {}, "source": [ "This loop now works like the loop over years that we had before. For each group of lat and lon chunks at a time chunk, use `map_blocks` to compute the API for those chunks. Save the final timestep from those chunks to pass in as the previous values for the next group. Once all of the groups have been processed concatenate them back together into a single array." ] }, { "cell_type": "code", "execution_count": 20, "id": "4ef19907-37d4-4e99-a664-0a2a969065e0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ "dask.array" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "api_blocks = []\n", "prev = None\n", "\n", "for block in precip.data.blocks:\n", " api = dask.array.map_blocks(api_block, block, prev, meta=numpy.array((), dtype=block.dtype))\n", " prev = api[-1,:,:]\n", " \n", " api_blocks.append(api)\n", " \n", "api_dask = dask.array.concatenate(api_blocks, axis=0)\n", "api_dask" ] }, { "cell_type": "markdown", "id": "b9ea2229-bf3b-44ba-b50f-fe3ead904472", "metadata": {}, "source": [ "Finally convert the Dask array to Xarray and save to a file" ] }, { "cell_type": "code", "execution_count": 21, "id": "fa118ec4-2409-4109-b48e-1ca35182b40c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 13.2 s, sys: 3.12 s, total: 16.3 s\n", "Wall time: 2min\n" ] }, { "data": { "text/html": [ "
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<xarray.DataArray 'api' (time: 15341, lat: 180, lon: 360)>\n",
       "dask.array<chunksize=(365, 90, 90), meta=np.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1979-01-01T13:30:00 ... 2020-12-31\n",
       "  * lon      (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n",
       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5
" ], "text/plain": [ "\n", "dask.array\n", "Coordinates:\n", " * time (time) datetime64[ns] 1979-01-01T13:30:00 ... 2020-12-31\n", " * lon (lon) float64 -179.5 -178.5 -177.5 -176.5 ... 177.5 178.5 179.5\n", " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "api = xarray.DataArray(api_dask, name='api', coords=precip.coords)\n", "api.to_netcdf('/local/w35/saw562/tmp/frogs_era5_api_full.nc')\n", "api" ] }, { "cell_type": "markdown", "id": "f92ad1a0-f2a0-42c2-a614-bf9b8a53f8a1", "metadata": {}, "source": [ "As a check, make sure the values from the chunked calculation match the very first 1D calculation" ] }, { "cell_type": "code", "execution_count": 22, "id": "3053c0b8-3dd3-4eef-8348-55726d1b5c54", "metadata": {}, "outputs": [], "source": [ "api = xarray.open_dataset('/local/w35/saw562/tmp/frogs_era5_api_full.nc')\n", "\n", "numpy.testing.assert_almost_equal(api.api.sel(lat=-37.81, lon=144.96, method='nearest').values, api_mel, decimal=4)" ] }, { "cell_type": "markdown", "id": "60503576-d45b-4c9c-a4d3-e06ef38aa346", "metadata": {}, "source": [ "## Conclusions\n", "\n", "There are a few points to keep in mind here:\n", "\n", " * In the majority of cases it's better to operate on the whole horizontal grid, rather than one grid point at a time\n", " * Build up your analysis in stages - here we first computed a single year, then changed that into a function, then updated the function to deal with the successive years\n", " * Check often to make sure your results are sensible, e.g. by plotting values\n", " \n", "We've focussed more on memory use than speed here, if improved speed is desired you could look at functions like {func}`scipy.signal.lfilter` or using [numba](https://numba.pydata.org/) instead of the loop over timesteps." ] }, { "cell_type": "code", "execution_count": null, "id": "ff27bba4-3111-4899-ba15-4a672e1b789b", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:analysis3] *", "language": "python", "name": "conda-env-analysis3-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }