{ "cells": [ { "cell_type": "markdown", "id": "26efd514", "metadata": {}, "source": [ "## Example for CMIP6" ] }, { "cell_type": "markdown", "id": "dd3f8e4a-6a62-4434-a7aa-8cf913527976", "metadata": {}, "source": [ "Here, CESM2 data serves as the training data, and the ML model trained on CESM2 data is applied to [CMIP6](https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) data.\n", "\n", "Reference: \n", "- GitHub: https://github.com/NCAR/cesm2-le-aws \n", "- Data/Variables Information: \n", " - https://ncar.github.io/cesm2-le-aws/model_documentation.html#data-catalog \n", " - https://registry.opendata.aws/cmip6/ \n", "- Reproduce CESM-LENS: https://github.com/NCAR/cesm2-le-aws/blob/main/notebooks/kay_et_al_lens2.ipynb \n", "- [Finding CMIP6 data using intake-esm and plotting time series for points](https://nbviewer.org/github/awslabs/amazon-asdi/blob/main/examples/cmip6/notebooks/cmip6_airtemperature.ipynb) by Zac Flamig" ] }, { "cell_type": "markdown", "id": "insured-finnish", "metadata": {}, "source": [ "**Step 0: load necessary packages and define parameters (no need to change)**" ] }, { "cell_type": "code", "execution_count": 1, "id": "20910345", "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1.84 s, sys: 350 ms, total: 2.19 s\n", "Wall time: 2.19 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/glade/work/zhonghua/miniconda3/envs/aws_urban/lib/python3.8/site-packages/xgboost/compat.py:31: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n", " from pandas import MultiIndex, Int64Index\n" ] } ], "source": [ "%%time\n", "# Display output of plots directly in Notebook\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import json\n", "import intake\n", "from flaml import AutoML\n", "from sklearn.metrics import mean_squared_error, r2_score\n", "from sklearn.model_selection import train_test_split\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "import util\n", "import math\n", "import seaborn as sns\n", "\n", "with open(\"./config_cesm2_cmip6.json\",'r') as load_f:\n", "# param = json.loads(json.load(load_f))\n", " param = json.load(load_f)\n", " \n", " model = param[\"model\"] # cesm2\n", " urban_type = param[\"urban_type\"] # md\n", " city_loc = param[\"city_loc\"] # {\"lat\": 40.0150, \"lon\": -105.2705}\n", " l_component = param[\"l_component\"]\n", " a_component = param[\"a_component\"]\n", " experiment = param[\"experiment\"]\n", " frequency = param[\"frequency\"]\n", " cam_ls = param[\"cam_ls\"]\n", " clm_ls = param[\"clm_ls\"]\n", " forcing_variant = param[\"forcing_variant\"]\n", " time = slice(param[\"time_start\"],param[\"time_end\"])\n", " member_id = param[\"member_id\"]\n", " estimator_list = param[\"estimator_list\"]\n", " time_budget = param[\"time_budget\"]\n", " features = param[\"features\"]\n", " label = param[\"label\"]\n", " clm_var_mask = param[\"label\"][0]\n", " CMIP6_url = param[\"CMIP6_url\"]\n", " activity_id = param[\"activity_id\"]\n", " experiment_id = param[\"experiment_id\"]\n", " institution_id = param[\"institution_id\"]\n", " table_id = param[\"table_id\"]" ] }, { "cell_type": "markdown", "id": "productive-negative", "metadata": {}, "source": [ "### Step 1: load CESM2 data" ] }, { "cell_type": "code", "execution_count": 2, "id": "f9c4e90a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'component.experiment.frequency.forcing_variant'\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "different lat between CAM and CLM subgrid info, adjust subgrid info's lat\n" ] } ], "source": [ "# get a dataset\n", "ds = util.get_data(model, city_loc, experiment, frequency, member_id, time, cam_ls, clm_ls,\n", " forcing_variant=forcing_variant, urban_type=urban_type)\n", "ds['time'] = ds.indexes['time'].to_datetimeindex()" ] }, { "cell_type": "markdown", "id": "breeding-junior", "metadata": {}, "source": [ "**split into training and testing data**" ] }, { "cell_type": "code", "execution_count": 3, "id": "8e42fc00", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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prprsnpsltastasmaxtasmin
42535.120080e-051.210190e-18102141.148438297.131683305.057770291.910309
7128.689989e-064.476514e-06102655.820312273.535492277.919128270.931824
41745.766846e-052.315565e-14101171.445312297.524048305.175293290.375336
18118.906457e-077.931703e-07101316.953125271.924591277.630005269.025482
50974.478946e-084.477884e-08101735.164062270.995270275.632812269.006317
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" ], "text/plain": [ " pr prsn psl tas tasmax \\\n", "4253 5.120080e-05 1.210190e-18 102141.148438 297.131683 305.057770 \n", "712 8.689989e-06 4.476514e-06 102655.820312 273.535492 277.919128 \n", "4174 5.766846e-05 2.315565e-14 101171.445312 297.524048 305.175293 \n", "1811 8.906457e-07 7.931703e-07 101316.953125 271.924591 277.630005 \n", "5097 4.478946e-08 4.477884e-08 101735.164062 270.995270 275.632812 \n", "\n", " tasmin \n", "4253 291.910309 \n", "712 270.931824 \n", "4174 290.375336 \n", "1811 269.025482 \n", "5097 269.006317 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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TREFMXAV
4253305.300262
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" ], "text/plain": [ " TREFMXAV\n", "4253 305.300262\n", "712 279.708527\n", "4174 306.675201\n", "1811 278.521729\n", "5097 276.521973" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "mapping = {\n", " \"PRSN\":\"prsn\", \n", " \"PRECT\":\"pr\",\n", " \"PSL\":\"psl\",\n", " \"TREFHT\":\"tas\",\n", " \"TREFHTMN\":\"tasmin\",\n", " \"TREFHTMX\":\"tasmax\"\n", "}\n", "\n", "# create a dataframe\n", "df = ds.to_dataframe().reset_index().dropna()\n", "df[\"PRSN\"] = (df[\"PRECSC\"] + df[\"PRECSL\"])*1000\n", "df[\"PRECT\"] = (df[\"PRECC\"] + df[\"PRECL\"])*1000\n", "\n", "df_cesm = df.rename(columns=mapping)\n", "\n", "# split the data into training and testing data\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " df_cesm[features], df_cesm[label], test_size=0.1, random_state=42)\n", "display(X_train.head())\n", "display(y_train.head())" ] }, { "cell_type": "markdown", "id": "27a444d4", "metadata": {}, "source": [ "### Step 2: load CMIP6 data" ] }, { "cell_type": "code", "execution_count": 4, "id": "6fcf1f66", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--> The keys in the returned dictionary of datasets are constructed as follows:\n", "\t'activity_id.institution_id.source_id.experiment_id.table_id.grid_label'\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 8.71 s, sys: 973 ms, total: 9.69 s\n", "Wall time: 17 s\n" ] }, { "data": { "text/plain": [ "{'ScenarioMIP.NOAA-GFDL.GFDL-ESM4.ssp370.day.gr1': \n", " Dimensions: (bnds: 2, lat: 180, lon: 288, member_id: 1, time: 31390)\n", " Coordinates:\n", " * bnds (bnds) float64 1.0 2.0\n", " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", " lat_bnds (lat, bnds) float64 dask.array\n", " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", " lon_bnds (lon, bnds) float64 dask.array\n", " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", " time_bnds (time, bnds) object dask.array\n", " * member_id (member_id) \n", " prsn (member_id, time, lat, lon) float32 dask.array\n", " psl (member_id, time, lat, lon) float32 dask.array\n", " tas (member_id, time, lat, lon) float32 dask.array\n", " tasmax (member_id, time, lat, lon) float32 dask.array\n", " tasmin (member_id, time, lat, lon) float32 dask.array\n", " Attributes: (12/48)\n", " references: see further_info_url attribute\n", " realm: atmos\n", " parent_time_units: days since 1850-1-1\n", " sub_experiment: none\n", " forcing_index: 1\n", " grid_label: gr1\n", " ... ...\n", " parent_variant_label: r1i1p1f1\n", " license: CMIP6 model data produced by NOAA-GFDL is licens...\n", " parent_mip_era: CMIP6\n", " parent_activity_id: CMIP\n", " title: NOAA GFDL GFDL-ESM4 model output prepared for CM...\n", " intake_esm_dataset_key: ScenarioMIP.NOAA-GFDL.GFDL-ESM4.ssp370.day.gr1}" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "features = ['pr', 'prsn', 'psl','tas', 'tasmax', 'tasmin']\n", "\n", "catalog = intake.open_esm_datastore('https://cmip6-pds.s3.amazonaws.com/pangeo-cmip6.json')\n", "catalog_subset = catalog.search(\n", " activity_id=activity_id, \n", " experiment_id=experiment_id, \n", " institution_id=institution_id,\n", " variable_id=features,\n", " table_id=table_id\n", ")\n", "datasets = catalog_subset.to_dataset_dict(zarr_kwargs={'consolidated': True, 'decode_times': True})\n", "datasets" ] }, { "cell_type": "code", "execution_count": 5, "id": "0c2972bc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 20.3 s, sys: 11 s, total: 31.3 s\n", "Wall time: 18.5 s\n" ] }, { "data": { "text/html": [ "
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timeprprsnpsltastasmaxtasminlatlonmember_idheight
02081-01-02 12:00:004.284881e-111.210498e-13101005.351562267.040985274.020386264.22134440.5254.375r1i1p1f12.0
12081-01-03 12:00:001.998000e-066.424573e-07100812.898438272.238739275.491943270.20922940.5254.375r1i1p1f12.0
22081-01-04 12:00:001.482927e-058.858435e-06100455.796875273.498535274.920624271.90716640.5254.375r1i1p1f12.0
32081-01-05 12:00:006.613790e-065.915619e-06101060.375000271.265442273.210297269.06527740.5254.375r1i1p1f12.0
42081-01-06 12:00:009.097347e-066.341099e-06100795.867188272.010651276.695343269.12326040.5254.375r1i1p1f12.0
\n", "
" ], "text/plain": [ " time pr prsn psl tas \\\n", "0 2081-01-02 12:00:00 4.284881e-11 1.210498e-13 101005.351562 267.040985 \n", "1 2081-01-03 12:00:00 1.998000e-06 6.424573e-07 100812.898438 272.238739 \n", "2 2081-01-04 12:00:00 1.482927e-05 8.858435e-06 100455.796875 273.498535 \n", "3 2081-01-05 12:00:00 6.613790e-06 5.915619e-06 101060.375000 271.265442 \n", "4 2081-01-06 12:00:00 9.097347e-06 6.341099e-06 100795.867188 272.010651 \n", "\n", " tasmax tasmin lat lon member_id height \n", "0 274.020386 264.221344 40.5 254.375 r1i1p1f1 2.0 \n", "1 275.491943 270.209229 40.5 254.375 r1i1p1f1 2.0 \n", "2 274.920624 271.907166 40.5 254.375 r1i1p1f1 2.0 \n", "3 273.210297 269.065277 40.5 254.375 r1i1p1f1 2.0 \n", "4 276.695343 269.123260 40.5 254.375 r1i1p1f1 2.0 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "# define the dataset name in the dictionary and the \"member_id\"\n", "df_cmip = datasets['ScenarioMIP.NOAA-GFDL.GFDL-ESM4.ssp370.day.gr1']\\\n", " .sel(member_id = 'r1i1p1f1',\n", " time = slice(param[\"time_start\"], param[\"time_end\"]))\\\n", " .sel(lat = param[\"city_loc\"][\"lat\"], \n", " lon = util.lon_to_360(param[\"city_loc\"][\"lon\"]),\n", " method=\"nearest\")\\\n", " [features].load()\\\n", " .to_dataframe().reset_index()\n", "df_cmip.head()" ] }, { "cell_type": "markdown", "id": "68e0d3ec", "metadata": {}, "source": [ "### Step 3: compare CESM2 training and CMIP6 data" ] }, { "cell_type": "code", "execution_count": 6, "id": "6aa2e345", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,3))\n", "idx = 1\n", "for var in features:\n", " ax = fig.add_subplot(math.ceil(math.ceil(len(features)/3)), 3, idx)\n", " X_train[var].plot.kde(ax=ax, label=\"CESM\")\n", " df_cmip[var].plot.kde(ax=ax, label=\"CMIP\")\n", " idx+=1\n", " ax.set_title(var)\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "confused-affect", "metadata": {}, "source": [ "### Step 4: automated machine learning" ] }, { "cell_type": "markdown", "id": "defensive-footage", "metadata": {}, "source": [ "**train a model (emulator)**" ] }, { "cell_type": "code", "execution_count": 7, "id": "023c3399", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ExtraTreesRegressor(max_features=0.9591245274694429, max_leaf_nodes=426,\n", " n_estimators=125, n_jobs=-1)\n", "CPU times: user 2min 1s, sys: 2.9 s, total: 2min 4s\n", "Wall time: 15.2 s\n" ] } ], "source": [ "%%time\n", "# setup for automl\n", "automl = AutoML()\n", "automl_settings = {\n", " \"time_budget\": time_budget, # in seconds\n", " \"metric\": 'r2',\n", " \"task\": 'regression',\n", " \"estimator_list\":estimator_list,\n", "}\n", "\n", "# train the model\n", "automl.fit(X_train=X_train, y_train=y_train.values,\n", " **automl_settings, verbose=-1)\n", "print(automl.model.estimator)" ] }, { "cell_type": "markdown", "id": "d7de78ba", "metadata": {}, "source": [ "**evaluate the model**" ] }, { "cell_type": "code", "execution_count": 8, "id": "e5c5a716", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "root mean square error: 0.636\n", "r2: 0.997\n" ] } ], "source": [ "y_pred = automl.predict(X_test)\n", "print(\"root mean square error:\",\n", " round(mean_squared_error(y_true=y_test, y_pred=y_pred, squared=False),3))\n", "print(\"r2:\", \n", " round(r2_score(y_true=y_test, y_pred=y_pred),3))" ] }, { "cell_type": "markdown", "id": "secure-worst", "metadata": {}, "source": [ "**apply and test the machine learning model** \n", "use `automl.predict(X)` to apply the model" ] }, { "cell_type": "code", "execution_count": 9, "id": "2bbf7bfa", "metadata": {}, "outputs": [], "source": [ "df_cmip[label] = automl.predict(df_cmip[features]).reshape(df_cmip.shape[0],-1)" ] }, { "cell_type": "markdown", "id": "technical-summary", "metadata": {}, "source": [ "### Step 5: visualization" ] }, { "cell_type": "code", "execution_count": 10, "id": "1d051ff8", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, (ax1,ax2,ax3) = plt.subplots(3,1,figsize=(12,6))\n", "fig.suptitle('comparison between CESM2 and cmip')\n", "df_cesm[\"tasmax\"].plot(label=\"CESM2\",c=\"k\",ax=ax1)\n", "df_cmip[\"tasmax\"].plot(label=\"cmip\",c=\"r\",ax=ax1)\n", "ax1.set_title(\"near-surface air temperature (tasmax)\")\n", "ax1.set_ylabel(\"tasmax, K\")\n", "ax1.set_xlabel(\"time, day since 2081-01-02\")\n", "ax1.legend([\"CESM2\",\"CMIP6\"])\n", "\n", "df_cesm[\"TREFMXAV\"].plot(label=\"CESM2\",c=\"k\",ax=ax2)\n", "df_cmip[\"TREFMXAV\"].plot(label=\"cmip\",c=\"r\",ax=ax2)\n", "ax2.set_title(\"urban daily maximum of average 2-m temperature\")\n", "ax2.set_ylabel(\"TREFMXAV, K\")\n", "ax2.set_xlabel(\"time, day since 2081-01-02\")\n", "ax2.legend([\"CESM2\",\"CMIP6\"])\n", "\n", "(df_cesm[\"TREFMXAV\"]-df_cesm[\"tasmax\"]).plot(label=\"CESM2\",c=\"k\",ax=ax3)\n", "(df_cmip[\"TREFMXAV\"]-df_cmip[\"tasmax\"]).plot(label=\"cmip\",c=\"r\",ax=ax3)\n", "ax3.set_title(\"urban daily maximum of average 2-m temperature\")\n", "ax3.set_ylabel(\"TREFMXAV, K\")\n", "ax3.set_xlabel(\"time, day since 2081-01-02\")\n", "ax3.legend([\"CESM2\",\"CMIP6\"])\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 11, "id": "096046d2", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# reference: https://stackoverflow.com/questions/53964485/seaborn-jointplot-color-by-density\n", "x = df_cesm[\"tasmax\"]-df_cmip[\"tasmax\"]\n", "y = df_cesm[\"TREFMXAV\"]-df_cmip[\"TREFMXAV\"]\n", "\n", "plot = sns.jointplot(x, y, kind=\"kde\", cmap='hot_r', n_levels=60, fill=True)\n", "plot.ax_joint.set_xlim(-2.5,15)\n", "plot.ax_joint.set_ylim(-2.5,15)\n", "plot.ax_joint.plot([-2.5,15], [-2.5,15], 'b-', linewidth = 2)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "id": "f190fd99", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# reference: https://stackoverflow.com/questions/53964485/seaborn-jointplot-color-by-density\n", "x = df_cesm[\"TREFMXAV\"]-df_cesm[\"tasmax\"]\n", "y = df_cmip[\"TREFMXAV\"]-df_cmip[\"tasmax\"]\n", "\n", "plot = sns.jointplot(x, y, kind=\"kde\", cmap='hot_r', n_levels=60, fill=True)\n", "plot.ax_joint.set_xlim(-0.5,2.5)\n", "plot.ax_joint.set_ylim(-0.5,2.5)\n", "plot.ax_joint.set_xlabel(\"CESM\")\n", "plot.ax_joint.set_ylabel(\"CMIP\")\n", "plot.ax_joint.plot([-0.5,2.5], [-0.5,2.5], 'b-', linewidth = 2)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.0" } }, "nbformat": 4, "nbformat_minor": 5 }