true_color.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adapted from SatPy Examples [https://github.com/pytroll/pytroll-examples/blob/master/satpy/GOES-16%20ABI%20-%20True%20Color%20Animation%20-%20Hurricane%20Florence.ipynb]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from satpy import Scene\n",
    "from glob import glob\n",
    "os.environ['PYTROLL_CHUNK_SIZE']='2048'\n",
    "from satpy.multiscene import MultiScene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Client</h3>\n",
       "<ul>\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:42338\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8787/status' target='_blank'>http://127.0.0.1:8787/status</a>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Cluster</h3>\n",
       "<ul>\n",
       "  <li><b>Workers: </b>5</li>\n",
       "  <li><b>Cores: </b>20</li>\n",
       "  <li><b>Memory: </b>270.75 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: scheduler='tcp://127.0.0.1:42338' processes=5 cores=20>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Only if you want to use Dask\n",
    "from distributed import Client\n",
    "client = Client(n_workers=5,threads_per_worker=4)\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Scenes:  120\n",
      "CPU times: user 28.6 s, sys: 1.38 s, total: 30 s\n",
      "Wall time: 31.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "BASE_DIR = '/data/gpm/a/snesbitt/nov10-2'\n",
    "all_filenames = [glob(fn.replace('C01', 'C0[123]*')[:len(BASE_DIR) + 50] + '*.nc') for fn in sorted(glob(os.path.join(BASE_DIR, 'OR*-RadM2-*C01*.nc')))]\n",
    "scenes = [Scene(reader='abi_l1b', filenames=filenames) for filenames in all_filenames]\n",
    "print(\"Number of Scenes: \", len(scenes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "mscn = MultiScene(scenes)\n",
    "mscn.load(['true_color'])\n",
    "new_mscn = mscn.resample(resampler='native')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove client keyword if you don't want to use dask\n",
    "\n",
    "#new_mscn.save_animation('/data/accp/a/snesbitt/{name}_{start_time:%Y%m%d_%H%M%S}.mp4', fps=5, client=client)\n",
    "new_mscn.save_datasets(writer='simple_image',filename='{name}_{start_time:%Y%m%d_%H%M%S}.png',base_dir='/data/accp/a/snesbitt/goes-imgs',client=client) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Could not import writer config from: ['/data/keeling/a/snesbitt/anaconda3/envs/satpy/lib/python3.7/site-packages/satpy/etc/writers/ninjotiff.yaml']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['geotiff', 'mitiff', 'scmi', 'simple_image', 'cf']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from satpy import available_writers\n",
    "available_writers()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "client.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
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