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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Plot Earth System Model data on unstructured grids with psyplot\n",
+ "\n",
+ "This notebook introduces you to the `mapplot` function of the package `psyplot`.\n",
+ "It is suitable to plot maps from data on unstructured grids like the ones from ICON and FESOM.\n",
+ "\n",
+ "We therefore search for the corresponding data in the CMIP6 data pool with intake-esm.\n",
+ "Afterwards, we open a file with `xarray` and configure the opened xarray dataset as well as psyplot for a map plot.\n",
+ "\n",
+ "In the end, we discuss the functions of `psyplot.project.plot.mapplot`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import psyplot.project as psy\n",
+ "import matplotlib as mpl\n",
+ "import xarray as xr\n",
+ "import intake"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We open a swift catalog from dkrz cloud which is accessible without authentication."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "col_url = \"https://swift.dkrz.de/v1/dkrz_a44962e3ba914c309a7421573a6949a6/intake-esm/mistral-cmip6.json\"\n",
+ "col = intake.open_esm_datastore(col_url)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In this example, we aim at plotting the Sea Surface Temperature of the upper boundary of the liquid ocean, including temperatures below sea-ice and floating ice shelves from AWI.\n",
+ "We therefore search for `tos` in the catalog for monthly frequency. We use 1 realization of 1 experiment only."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tos=col.search(source_id=\"AWI-CM-1-1-MR\",\n",
+ " experiment_id=\"ssp370\",\n",
+ " variable_id=\"tos\",\n",
+ " table_id=\"Omon\",\n",
+ " member_id=\"r1i1p1f1\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We now open the file on the mistral file system."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset = xr.open_dataset(tos.df[\"path\"].to_list()[0])\n",
+ "#dset = xr.open_mfdataset(tos.df[\"path\"].to_list())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In order to make `tos` plottable, we set the following configuration.\n",
+ "- The `CDI_grid_type` is a keyword for `psyplot`.\n",
+ "- Coordinates are not fully recognized by `xarray` so that we have to add some manually (version from Dec 2020)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset[\"tos\"][\"CDI_grid_type\"]=\"unstructured\"\n",
+ "coordlist=[\"vertices_latitude\", \"vertices_longitude\", \"lat_bnds\", \"lon_bnds\"]\n",
+ "dset=dset.set_coords([coord for coord in dset.data_vars if coord in coordlist])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This is based on the example from:\n",
+ "https://psyplot.readthedocs.io/projects/psy-maps/en/latest/examples/example_ugrid.html#gallery-examples-example-ugrid-ipynb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "psy.rcParams['plotter.maps.xgrid'] = False\n",
+ "psy.rcParams['plotter.maps.ygrid'] = False\n",
+ "mpl.rcParams['figure.figsize'] = [10, 8.]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "iconplot11=psy.plot.mapplot(\n",
+ " dset, name=\"tos\", cmap='rainbow',\n",
+ " clabel=dset[\"tos\"].description,\n",
+ " stock_img=True, lsm='50m')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We now do the same with a smaller subset to see the fine resolution of the AWI ocean model FESOM.\n",
+ "The subsetting is required because the plotting takes too long otherwise."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset2 = dset.isel(time=slice(1,3)).where( (dset.lon > -10. ) &\n",
+ " (dset.lon < 50. ) &\n",
+ " (dset.lat > 40. ) &\n",
+ " (dset.lat < 70. ), drop=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset2.to_netcdf(\"/home/dkrz/k204210/test.nc\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset2=xr.open_dataset(\"/home/dkrz/k204210/test.nc\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dset2[\"tos\"][\"CDI_grid_type\"]=\"unstructured\"\n",
+ "coordlist=[\"vertices_latitude\", \"vertices_longitude\", \"lat_bnds\", \"lon_bnds\"]\n",
+ "dset2=dset2.set_coords([coord for coord in dset2.data_vars if coord in coordlist])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "iconplot12=psy.plot.mapplot(\n",
+ " dset2, name=\"tos\", cmap='rainbow',\n",
+ " lonlatbox='Ireland',\n",
+ " clabel=dset[\"tos\"].description,\n",
+ " stock_img=True,\n",
+ " lsm='50m',\n",
+ " datagrid=dict(c='b', lw=0.2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 unstable (using the module python3/unstable)",
+ "language": "python",
+ "name": "python3_unstable"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}