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@douglatornell
Created November 18, 2014 23:28
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"metadata": {
"name": "",
"signature": "sha256:9e4150b049ad8b9ee7600a8fe76567ad97f185a1fd5cf7f86f63e60c83795bf7"
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"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Salish Sea NEMO Model Daily Nowcast Figures"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Set-up"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from __future__ import division\n",
"\n",
"import datetime\n",
"from glob import glob\n",
"import os\n",
"\n",
"from IPython.core.display import HTML\n",
"import netCDF4 as nc\n",
"\n",
"from salishsea_tools.nowcast import figures\n",
"\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def results_dataset(period, grid, results_dir):\n",
" \"\"\"Return the results dataset for period (e.g. 1h or 1d)\n",
" and grid (e.g. grid_T, grid_U) from results_dir.\n",
" \"\"\"\n",
" filename_pattern = 'SalishSea_{period}_*_{grid}.nc'\n",
" filepaths = glob(os.path.join(results_dir, filename_pattern.format(period=period, grid=grid)))\n",
" return nc.Dataset(filepaths[0])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"run_date = datetime.date.today()\n",
"run_date = datetime.date(2014, 11, 17)\n",
"# Results dataset location\n",
"results_home = '/data/dlatorne/MEOPAR/SalishSea/nowcast/'\n",
"results_dir = os.path.join(results_home, run_date.strftime('%d%b%y').lower())"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load the results datasets:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grid_T_hr = results_dataset('1h', 'grid_T', results_dir)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Display the figures:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"HTML('<h2>{:%d%b%y} Figures</h2>'.format(run_date))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<h2>17Nov14 Figures</h2>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": [
"<IPython.core.display.HTML at 0x7f11f9eabf50>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = figures.ssh_PtAtkinson(grid_T_hr)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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"text": [
"<matplotlib.figure.Figure at 0x7f12105cd510>"
]
}
],
"prompt_number": 6
}
],
"metadata": {}
}
]
}
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