{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting Data on NE30 Native Grid\n", "\n", "\n", "This notebook shows how to plot NE30 (or NEX) native grids\n", "\n", "© Software was developed by Charles Doutriaux. (April 2018)\n", "\n", "## Table Of Contents\n", "\n", "* [necessary modules for this notebook](#modules)\n", "* [download necessary files](#download)\n", "* [read grid data](#read_grid)\n", "* [generate MPAS grid](#grid)\n", "* [load data and apply grid](#data)\n", "* [plot the data](#plot)\n", "\n", "## Necessary Modules\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from __future__ import print_function\n", "import e3sm_nex\n", "import cdms2\n", "import vcs\n", "import requests\n", "import numpy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Download Data\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def download(fnm):\n", " r = requests.get(\"https://cdat.llnl.gov/cdat/sample_data/%s\" % fnm,stream=True)\n", " with open(fnm,\"wb\") as f:\n", " for chunk in r.iter_content(chunk_size=1024):\n", " if chunk: # filter local_filename keep-alive new chunks\n", " f.write(chunk)\n", " \n", "for filename in [\"ne30_TS.nc\",\"ne30np4_latlon.091226.nc\"]:\n", " download(filename)\n", " \n", " \n", "data_path = \"ne30_TS.nc\"\n", "grid_file_path = \"ne30np4_latlon.091226.nc\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Grid Info\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Reads in data from grid file\n", "gf = cdms2.open(grid_file_path)\n", "\n", "# needs to send filled data\n", "lats = gf(\"lat\").filled()\n", "lons = gf(\"lon\").filled()\n", "ec = gf(\"element_corners\").filled()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generate NE30 Grid\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Generate grid\n", "grid = e3sm_nex.generateNEXGrid(lats, lons, ec)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Data and Apply Grid\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Load data and apply grid\n", "fd = cdms2.open(data_path)\n", "data = fd(\"TS\")\n", "# Need to clean up missing/bad values\n", "data = e3sm_nex.applyGrid(data,grid)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot\n", "[Back to Top](#top)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/doutriaux1/anaconda2/envs/cdat_test/lib/python2.7/site-packages/vtk/util/numpy_support.py:135: FutureWarning: Conversion of the second argument of issubdtype from `complex` to `np.complexfloating` is deprecated. In future, it will be treated as `np.complex128 == np.dtype(complex).type`.\n", " assert not numpy.issubdtype(z.dtype, complex), \\\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# plot\n", "# create Canvas\n", "x=vcs.init(bg=True, geometry=(1200,800))\n", "\n", "# Create graphics method\n", "mesh = vcs.createmeshfill()\n", "\n", "# Only show a sub domain\n", "mesh.datawc_x1 = -170\n", "mesh.datawc_x2 = -50\n", "mesh.datawc_y1 = -25\n", "mesh.datawc_y2 = 75\n", "\n", "# If you want to show mesh\n", "# mesh.mesh = True\n", "\n", "x.plot(data, mesh, ratio=\"autot\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:cdat_test]", "language": "python", "name": "conda-env-cdat_test-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.14" } }, "nbformat": 4, "nbformat_minor": 2 }