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Posted to commits@climate.apache.org by le...@apache.org on 2017/10/31 21:53:46 UTC

[3/9] climate git commit: Added ocw-parallel directory for first version of multicore support.

http://git-wip-us.apache.org/repos/asf/climate/blob/5c7a9ef1/ocw-parallel/notebooks/Advanced RCMES Workflow (with multicore parallelism).ipynb
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diff --git a/ocw-parallel/notebooks/Advanced RCMES Workflow (with multicore parallelism).ipynb b/ocw-parallel/notebooks/Advanced RCMES Workflow (with multicore parallelism).ipynb
new file mode 100644
index 0000000..f1f48cd
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@@ -0,0 +1,221 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Advanced RCMES Workflow (with multicore parallelism)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import OCW functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "from functions import loadDatasets, temporalRebins, commonLatLonGrid, spatialRegrids\n",
+    "from functions import computeMetrics, contourPlot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Define the workflow in a simple function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from datetime import timedelta\n",
+    "\n",
+    "def compareVariablesWithMetrics(datasetUrls,                    # URL's pointing to datasets, first one is reference, rest are targets\n",
+    "                           variableNames,                       # names of dataset variables, in parallel with first list\n",
+    "                           metrics,                             # list of metrics to compute (by name)\n",
+    "                           outputName,                          # root name for outputs\n",
+    "                           timeRes=timedelta(days=365),         # time resolution to regrid all variables to\n",
+    "                           latRes=1., lonRes=1.,                # lat/lon resolutions to regrid all variables to\n",
+    "                           subregions=None,                     # list of subregion boundaries\n",
+    "                           dir='./'):                           # directory for outputs, defaults to current working dir\n",
+    "    '''Compare multiple target variables to a reference variable, returning the computed metric(s)\n",
+    "after temporally rebinning to a common time resolution and a common spatial (lat/lon) resolution.\n",
+    "    '''\n",
+    "    datasets = loadDatasets(zip(datasetUrls, variableNames), dir)    \n",
+    "    datasets = temporalRebins(datasets, timeRes)\n",
+    "    \n",
+    "    newLats, newLons = commonLatLonGrid(datasets, latRes, lonRes)\n",
+    "    datasets = spatialRegrids(datasets, newLats, newLons)\n",
+    "    \n",
+    "    metrics = computeMetrics(datasets, metrics, subregions)\n",
+    "    return (newLats, newLons, metrics)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Define a routine to run the workflow (using parallel map for multiple cores)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from multiprocessing import Pool\n",
+    "\n",
+    "def run(urls, vars, outputName, nCores=1, **config):\n",
+    "    '''Run compareManyWithMetrics routine.'''\n",
+    "    if nCores > 1:\n",
+    "        pool = Pool(nCores)\n",
+    "        def mymap(f, s): return pool.map(f, s)\n",
+    "    else:\n",
+    "        def mymap(f, s): return map(f, s)           # sequential single-core map function\n",
+    "\n",
+    "    lats, lons, metrics = compareVariablesWithMetrics(urls, vars, ['Bias'], outputName, timedelta(days=365), 1, 1)\n",
+    "    \n",
+    "    plotFile = contourPlot(metrics[0][0], lats, lons, outputName, **config)\n",
+    "    return plotFile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Run the workflow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "loadDataset: File ./AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc has variable tasmax with shape (time, lat, lon): (240, 201, 194)\n",
+      "loadDataset: File ./AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc has variable tasmax with shape (time, lat, lon): (240, 201, 194)\n",
+      "temporalRebin: Dataset ./AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc?tasmax has new shape (20, 201, 194)\n",
+      "temporalRebin: Dataset ./AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc?tasmax has new shape (20, 201, 194)\n",
+      "commonSpatialBounds: Dataset ./AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc?tasmax has boundaries: lat (-45.76, 42.24), lon (-24.64, 60.28).\n",
+      "commonSpatialBounds: Dataset ./AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc?tasmax has boundaries: lat (-45.7599983215, 42.2400016785), lon (-24.6399993896, 60.2799987793).\n",
+      "commonSpatialBounds: Common boundaries are: lat (-45.7599983215, 42.24), lon (-24.6399993896, 60.2799987793).\n",
+      "computeMetrics: Evaluating metrics ['Bias'] . . .\n",
+      "/Users/bdwilson/anaconda/lib/python2.7/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
+      "  if self._edgecolors == str('face'):\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "contourPlot: Writing wrf_bias_compared_to_knmi.png\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x104f10810>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "paths = [\"/Users/bdwilson/Documents/code/RCMES/Workshop/AFRICA_UC-WRF311_CTL_ERAINT_MM_50km-rg_1989-2008_tasmax.nc\",\n",
+    "         \"/Users/bdwilson/Documents/code/RCMES/Workshop/AFRICA_KNMI-RACMO2.2b_CTL_ERAINT_MM_50km_1989-2008_tasmax.nc\"]\n",
+    "variables = [\"tasmax\", \"tasmax\"]\n",
+    "\n",
+    "outputName = \"wrf_bias_compared_to_knmi\"\n",
+    "config = {'gridshape': (4, 5),\n",
+    "              'ptitle': 'TASMAX Bias of WRF Compared to KNMI (1989 - 2008)',\n",
+    "              'subtitles': range(1989, 2009, 1)}\n",
+    "\n",
+    "plotFile = run(paths, variables, outputName, nCores=2, **config)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Display metric plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
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