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May 5, 2024 15:00
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Supporting nb for https://discourse.jupyter.org/t/unable-to-show-the-print-output-of-my-notebook/25523/5?u=fomightez
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Demo of trying Vorticity_Divergence_Inversion.ipynb via MyBinder.org-served session\n", | |
| "\n", | |
| "How this was generated in response [discouse conversation about running a notebook](https://discourse.jupyter.org/t/unable-to-show-the-print-output-of-my-notebook/25523/5?u=fomightez).\n", | |
| "(NOTE THAT BECAUSE I RAN INTO THINGS I DIDN'T UNDERSTAND I ADDED A PLOT USING A DEMO AT INPUT CELL #5 and stopped. Maybe the OP will have domain knowledge to get past this apparent hurdle that is probably due to different versions of the software being used. Ideally, the deveoper of [the source repo](https://github.com/winash12/vortdivinversion) should have listed versions in the repo with `requiremetns.txt` or `environment.yml` or in notebook with output of `%pip list` or `%conda list`, `%pip freeze` or something along those lines.)\n", | |
| "\n", | |
| "Went to [here](https://github.com/pydata/xarray?tab=readme-ov-file#xarray-n-d-labeled-arrays-and-datasets) and clicked 'launch binder'.\n", | |
| "\n", | |
| "In the session that came up, I opened a terminal and ran `git clone https://github.com/winash12/vortdivinversion.git` to clone the related notebook and content.\n", | |
| "\n", | |
| "In the file navigation panel on the left, I double clicked on the directory that was listed as `vortdivinversion`.\n", | |
| "\n", | |
| "In the top of that notebook, I made a new cell and pasted in the following code that will install the necessary packages to run the first few cells and ran it." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: cartopy in /srv/conda/envs/notebook/lib/python3.10/site-packages (0.23.0)\n", | |
| "Requirement already satisfied: numpy>=1.21 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (1.26.4)\n", | |
| "Requirement already satisfied: matplotlib>=3.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (3.8.4)\n", | |
| "Requirement already satisfied: shapely>=1.7 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (2.0.4)\n", | |
| "Requirement already satisfied: packaging>=20 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (24.0)\n", | |
| "Requirement already satisfied: pyshp>=2.3 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (2.3.1)\n", | |
| "Requirement already satisfied: pyproj>=3.3.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from cartopy) (3.6.1)\n", | |
| "Requirement already satisfied: contourpy>=1.0.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (1.2.1)\n", | |
| "Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (0.12.1)\n", | |
| "Requirement already satisfied: fonttools>=4.22.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (4.51.0)\n", | |
| "Requirement already satisfied: kiwisolver>=1.3.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (1.4.5)\n", | |
| "Requirement already satisfied: pillow>=8 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (10.3.0)\n", | |
| "Requirement already satisfied: pyparsing>=2.3.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (3.1.2)\n", | |
| "Requirement already satisfied: python-dateutil>=2.7 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5->cartopy) (2.8.2)\n", | |
| "Requirement already satisfied: certifi in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pyproj>=3.3.1->cartopy) (2024.2.2)\n", | |
| "Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=3.5->cartopy) (1.16.0)\n", | |
| "Note: you may need to restart the kernel to use updated packages.\n", | |
| "Requirement already satisfied: boto3 in /srv/conda/envs/notebook/lib/python3.10/site-packages (1.34.96)\n", | |
| "Requirement already satisfied: botocore<1.35.0,>=1.34.96 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from boto3) (1.34.97)\n", | |
| "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from boto3) (1.0.1)\n", | |
| "Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from boto3) (0.10.1)\n", | |
| "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from botocore<1.35.0,>=1.34.96->boto3) (2.8.2)\n", | |
| "Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from botocore<1.35.0,>=1.34.96->boto3) (2.0.6)\n", | |
| "Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.35.0,>=1.34.96->boto3) (1.16.0)\n", | |
| "Note: you may need to restart the kernel to use updated packages.\n", | |
| "Requirement already satisfied: metpy in /srv/conda/envs/notebook/lib/python3.10/site-packages (1.6.2)\n", | |
| "Requirement already satisfied: matplotlib>=3.5.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (3.8.4)\n", | |
| "Requirement already satisfied: numpy>=1.20.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (1.26.4)\n", | |
| "Requirement already satisfied: pandas>=1.4.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (2.2.2)\n", | |
| "Requirement already satisfied: pint>=0.17 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (0.23)\n", | |
| "Requirement already satisfied: pooch>=1.2.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (1.8.1)\n", | |
| "Requirement already satisfied: pyproj>=3.0.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (3.6.1)\n", | |
| "Requirement already satisfied: scipy>=1.8.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (1.13.0)\n", | |
| "Requirement already satisfied: traitlets>=5.0.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (5.11.2)\n", | |
| "Requirement already satisfied: xarray>=0.21.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from metpy) (2024.3.0)\n", | |
| "Requirement already satisfied: contourpy>=1.0.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (1.2.1)\n", | |
| "Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (0.12.1)\n", | |
| "Requirement already satisfied: fonttools>=4.22.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (4.51.0)\n", | |
| "Requirement already satisfied: kiwisolver>=1.3.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (1.4.5)\n", | |
| "Requirement already satisfied: packaging>=20.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (24.0)\n", | |
| "Requirement already satisfied: pillow>=8 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (10.3.0)\n", | |
| "Requirement already satisfied: pyparsing>=2.3.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (3.1.2)\n", | |
| "Requirement already satisfied: python-dateutil>=2.7 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from matplotlib>=3.5.0->metpy) (2.8.2)\n", | |
| "Requirement already satisfied: pytz>=2020.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pandas>=1.4.0->metpy) (2023.3.post1)\n", | |
| "Requirement already satisfied: tzdata>=2022.7 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pandas>=1.4.0->metpy) (2024.1)\n", | |
| "Requirement already satisfied: typing-extensions in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pint>=0.17->metpy) (4.8.0)\n", | |
| "Requirement already satisfied: platformdirs>=2.5.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pooch>=1.2.0->metpy) (3.11.0)\n", | |
| "Requirement already satisfied: requests>=2.19.0 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pooch>=1.2.0->metpy) (2.31.0)\n", | |
| "Requirement already satisfied: certifi in /srv/conda/envs/notebook/lib/python3.10/site-packages (from pyproj>=3.0.0->metpy) (2024.2.2)\n", | |
| "Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=3.5.0->metpy) (1.16.0)\n", | |
| "Requirement already satisfied: charset-normalizer<4,>=2 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (3.3.0)\n", | |
| "Requirement already satisfied: idna<4,>=2.5 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (3.4)\n", | |
| "Requirement already satisfied: urllib3<3,>=1.21.1 in /srv/conda/envs/notebook/lib/python3.10/site-packages (from requests>=2.19.0->pooch>=1.2.0->metpy) (2.0.6)\n", | |
| "Note: you may need to restart the kernel to use updated packages.\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%pip install cartopy\n", | |
| "%pip install boto3\n", | |
| "%pip install metpy" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import os.path\n", | |
| "import xarray as xr\n", | |
| "import numpy as np\n", | |
| "import boto3\n", | |
| "import metpy.calc as mpcalc\n", | |
| "from botocore import UNSIGNED\n", | |
| "from botocore.config import Config\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "from matplotlib.cm import get_cmap\n", | |
| "#from matplotlib.colormaps import get_cmap\n", | |
| "import matplotlib.ticker as mticker\n", | |
| "import cartopy.crs as crs\n", | |
| "from cartopy.feature import NaturalEarthFeature\n", | |
| "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", | |
| "import sys\n", | |
| "import time \n", | |
| "if (not os.path.isfile('gfs.t12z.pgrb2.0p25.f000')):\n", | |
| " client = boto3.client('s3', config=Config(signature_version=UNSIGNED))\n", | |
| " client.download_file('noaa-gfs-bdp-pds', 'gfs.20230809/12/atmos/gfs.t12z.pgrb2.0p25.f000', 'gfs.t12z.pgrb2.0p25.f000')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "(721, 1440)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "u850 = xr.open_dataset('gfs.t12z.pgrb2.0p25.f000', engine='cfgrib',backend_kwargs={'filter_by_keys':{'typeOfLevel': 'isobaricInhPa', 'shortName': 'u', 'level': 850}})\n", | |
| "u = u850.u\n", | |
| "print(u.shape)\n", | |
| "v850 = xr.open_dataset('gfs.t12z.pgrb2.0p25.f000', engine='cfgrib', backend_kwargs={'filter_by_keys':{'typeOfLevel': 'isobaricInhPa', 'shortName': 'v', 'level': 850}})\n", | |
| "v = v850.v" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Compute the 850 hPa relative vorticity." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/tmp/ipykernel_816/816657038.py:1: UserWarning: More than one time coordinate present for variable \"u\".\n", | |
| " vort850 = mpcalc.vorticity(u, v)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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| |
| "text/plain": [ | |
| "<Figure size 3600x2700 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "vort850 = mpcalc.vorticity(u, v)\n", | |
| "fig = plt.figure(figsize=(12,9), dpi=300.)\n", | |
| "# Create a set of axes for the figure and set\n", | |
| "# its map projection to that of the input data.\n", | |
| "ax = plt.axes(projection=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "I don't know why that doesn't work to show any plot. (I do note that I see `UserWarning: More than one time coordinate present for variable \"u\"` and a lot time warnings are just warnings and something usually shows. \n", | |
| "The vorticity dpcumentation [here](https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.vorticity.html) does say, \"Changed in version 1.0: Changed signature from (u, v, dx, dy)\". I cannot tell if maybe that is the issue and the notebook was using older version of metpy? \n", | |
| "I note that the [example here](https://unidata.github.io/MetPy/latest/examples/calculations/Vorticity.html#sphx-glr-examples-calculations-vorticity-py) works fine **and gives a plot**, as can be seen by running the code below:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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", | |
| "text/plain": [ | |
| "<Figure size 500x500 with 2 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "import metpy.calc as mpcalc\n", | |
| "from metpy.cbook import example_data\n", | |
| "\n", | |
| "# load example data\n", | |
| "ds = example_data()\n", | |
| "\n", | |
| "# Calculate the vertical vorticity of the flow\n", | |
| "vort = mpcalc.vorticity(ds.uwind, ds.vwind)\n", | |
| "\n", | |
| "# start figure and set axis\n", | |
| "fig, ax = plt.subplots(figsize=(5, 5))\n", | |
| "\n", | |
| "# scale vorticity by 1e5 for plotting purposes\n", | |
| "cf = ax.contourf(ds.lon, ds.lat, vort * 1e5, range(-80, 81, 1), cmap=plt.cm.PuOr_r)\n", | |
| "plt.colorbar(cf, pad=0, aspect=50)\n", | |
| "ax.barbs(ds.lon.values, ds.lat.values, ds.uwind, ds.vwind, color='black', length=5, alpha=0.5)\n", | |
| "ax.set(xlim=(260, 270), ylim=(30, 40))\n", | |
| "ax.set_title('Relative Vorticity Calculation')\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add country borders and coastlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "countries = NaturalEarthFeature(category=\"cultural\", scale=\"50m\",\n", | |
| " facecolor=\"none\",\n", | |
| " name=\"admin_0_countries\")\n", | |
| "ax.add_feature(countries, linewidth=.5, edgecolor=\"black\")\n", | |
| "ax.coastlines('50m', linewidth=0.8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plot = vort850.plot(levels=np.arange(-1.e-4, 1.e-4, 0.2e-5), cmap=get_cmap('PRGn'), transform=crs.PlateCarree(), cbar_kwargs={'label':'relative vorticity (x$10^{-5} s^{-1}$)', 'shrink': 0.98})" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Set the map's extent to cover just Hurricane Dora." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax.set_extent([-180.,-150.,0.,20.],crs=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add latitude/longitude gridlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "gridlines = ax.gridlines(color=\"grey\", linestyle=\"dotted\", draw_labels=True)\n", | |
| "gridlines.xlabels_top = False\n", | |
| "gridlines.ylabels_right = False\n", | |
| "gridlines.xlocator = mticker.FixedLocator(np.arange(-180.,149.,5.))\n", | |
| "gridlines.ylocator = mticker.FixedLocator(np.arange(0.,21.,5.))\n", | |
| "gridlines.xlabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.ylabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.xformatter = LONGITUDE_FORMATTER\n", | |
| "gridlines.yformatter = LATITUDE_FORMATTER" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add a plot title, then show the image." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.title(\"GFS 0-h 850 hPa relative vorticity (x$10^{-5} s^{-1}$) at 1200 UTC 9 August 2023\")\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Compute the 850 hPa divergence." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "div850 = mpcalc.divergence(u, v)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a figure instance." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "fig = plt.figure(figsize=(12,9), dpi=300.)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a set of axes for the figure and set<br>\n", | |
| "its map projection to that of the input data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax = plt.axes(projection=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add country borders and coastlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "countries = NaturalEarthFeature(category=\"cultural\", scale=\"50m\",\n", | |
| " facecolor=\"none\",\n", | |
| " name=\"admin_0_countries\")\n", | |
| "ax.add_feature(countries, linewidth=.5, edgecolor=\"black\")\n", | |
| "ax.coastlines('50m', linewidth=0.8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Plot the 850 hPa divergence using xarray's plot functionality." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plot = div850.plot(levels=np.arange(-1.e-4, 1.e-4, 0.2e-5), cmap=get_cmap('PRGn'), transform=crs.PlateCarree(), cbar_kwargs={'label':'relative vorticity (x$10^{-5} s^{-1}$)', 'shrink': 0.98})" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Set the map's extent to cover just Hurricane Dora." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax.set_extent([-180.,-150.,0.,20.],crs=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add latitude/longitude gridlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "gridlines = ax.gridlines(color=\"grey\", linestyle=\"dotted\", draw_labels=True)\n", | |
| "gridlines.xlabels_top = False\n", | |
| "gridlines.ylabels_right = False\n", | |
| "gridlines.xlocator = mticker.FixedLocator(np.arange(-180.,149.,5.))\n", | |
| "gridlines.ylocator = mticker.FixedLocator(np.arange(0.,21.,5.))\n", | |
| "gridlines.xlabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.ylabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.xformatter = LONGITUDE_FORMATTER\n", | |
| "gridlines.yformatter = LATITUDE_FORMATTER" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add a plot title, then show the image." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.title(\"GFS 0-h 850 hPa divergence (x$10^{-5} s^{-1}$) at 1200 UTC 9 August 2023\")\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "vortmask = mpcalc.bounding_box_mask(vort850,5.,13.5,191.,202.)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "divmask = mpcalc.bounding_box_mask(div850,5.,13.5,191.,202.)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "i_bb_indices = mpcalc.find_bounding_box_indices(vortmask,5.,13.5,191.,202.)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "o_bb_indices = mpcalc.find_bounding_box_indices(vortmask,0.,30,180.,220)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "dx, dy = mpcalc.lat_lon_grid_deltas(vortmask.longitude, vortmask.latitude)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "upsi,vpsi = mpcalc.rotational_wind_from_inversion(vortmask,dx,dy,o_bb_indices,i_bb_indices)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a figure instance." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "fig = plt.figure(figsize=(12,9), dpi=300.)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a set of axes for the figure and set<br>\n", | |
| "its map projection to that of the input data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax = plt.axes(projection=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add country borders and coastlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "countries = NaturalEarthFeature(category=\"cultural\", scale=\"50m\",\n", | |
| " facecolor=\"none\",\n", | |
| " name=\"admin_0_countries\")\n", | |
| "ax.add_feature(countries, linewidth=.5, edgecolor=\"black\")\n", | |
| "ax.coastlines('50m', linewidth=0.8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Compute the magnitude of the non-divergent component of the 850 hPa wind." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "nd_spd = np.sqrt(upsi**2 + vpsi**2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Plot this using xarray's plot functionality." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plot = nd_spd.plot(levels=np.arange(0., 13., 1.), cmap=get_cmap('YlGnBu'), transform=crs.PlateCarree(), cbar_kwargs={'label':'non-divergent wind ($m s^{-1}$)', 'shrink': 0.98})" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Set the map's extent to match that over which we computed the non-divergent wind." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax.set_extent([-180.,-140.,0.,30.],crs=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add latitude/longitude gridlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "gridlines = ax.gridlines(color=\"grey\", linestyle=\"dotted\", draw_labels=True)\n", | |
| "gridlines.xlabels_top = False\n", | |
| "gridlines.ylabels_right = False\n", | |
| "gridlines.xlocator = mticker.FixedLocator(np.arange(-180.,139.,5.))\n", | |
| "gridlines.ylocator = mticker.FixedLocator(np.arange(0.,31.,5.))\n", | |
| "gridlines.xlabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.ylabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.xformatter = LONGITUDE_FORMATTER\n", | |
| "gridlines.yformatter = LATITUDE_FORMATTER" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add a plot title, then show the image." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.title(\"GFS 0-h 850 hPa non-divergent wind magnitude ($m s^{-1}$) due to Dora at 1200 UTC 9 August 2023\")\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "uchi,vchi = mpcalc.divergent_wind_from_inversion(divmask,dx,dy,o_bb_indices,i_bb_indices)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Create a set of axes for the figure and set<br>\n", | |
| "its map projection to that of the input data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax = plt.axes(projection=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add country borders and coastlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "countries = NaturalEarthFeature(category=\"cultural\", scale=\"50m\",\n", | |
| " facecolor=\"none\",\n", | |
| " name=\"admin_0_countries\")\n", | |
| "ax.add_feature(countries, linewidth=.5, edgecolor=\"black\")\n", | |
| "ax.coastlines('50m', linewidth=0.8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Compute the magnitude of the non-divergent component of the 850 hPa wind." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "nd_spd = np.sqrt(uchi**2 + vchi**2)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Plot this using xarray's plot functionality." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plot = nd_spd.plot(levels=np.arange(0., 13., 1.), cmap=get_cmap('YlGnBu'), transform=crs.PlateCarree(), cbar_kwargs={'label':'non-divergent wind ($m s^{-1}$)', 'shrink': 0.98})" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Set the map's extent to match that over which we computed the non-divergent wind." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax.set_extent([-180.,-140.,0.,30.],crs=crs.PlateCarree())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add latitude/longitude gridlines." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "gridlines = ax.gridlines(color=\"grey\", linestyle=\"dotted\", draw_labels=True)\n", | |
| "gridlines.top_labels = False\n", | |
| "gridlines.right_labels = False\n", | |
| "gridlines.xlocator = mticker.FixedLocator(np.arange(-180.,139.,5.))\n", | |
| "gridlines.ylocator = mticker.FixedLocator(np.arange(0.,31.,5.))\n", | |
| "gridlines.xlabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.ylabel_style = {'size':12, 'color':'black'}\n", | |
| "gridlines.xformatter = LONGITUDE_FORMATTER\n", | |
| "gridlines.yformatter = LATITUDE_FORMATTER" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Add a plot title, then show the image." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.title(\"GFS 0-h 850 hPa divergent wind magnitude ($m s^{-1}$) due to Dora at 1200 UTC 9 August 2023\")\n", | |
| "plt.savefig('vectorized_version')\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": "3.10.14" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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