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@rsignell-usgs
Created November 19, 2012 20:26
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Extract time series from 3D dataset
{
"metadata": {
"name": "Extract time series from 3D dataset"
},
"nbformat": 3,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 2,
"source": "Extract time series from 3D [time,lat,lon] dataset"
},
{
"cell_type": "code",
"input": "import numpy as np\nimport matplotlib.pyplot as plt\nimport netCDF4",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "# Global NCEP WaveWatch 3 dataset from Unidata's THREDDS Collection:\n# http://motherlode.ucar.edu:8080/thredds/catalog.html\nurl='http://motherlode.ucar.edu:8080/thredds/dodsC/fmrc/NCEP/WW3/Global/NCEP-WW3-Global_best.ncd'",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "# desired station time series location\nloni = 60.00833\nlati = 24.00833",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "nc = netCDF4.Dataset(url)\nnc.variables",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "lat = nc.variables['lat'][:]\nlon = nc.variables['lon'][:]\ntimes = nc.variables['time']\njd = netCDF4.num2date(times[:],times.units)",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "# function to find index to nearest point\ndef near(array,value):\n idx=(np.abs(array-value)).argmin()\n return idx",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "# find nearest point to desired location\nix = near(lon, loni)\niy = near(lat, lati)",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "# get all time records of variable [vname] at indices [iy,ix]\nvname = 'Significant_height_of_combined_wind_waves_and_swell'\nvar = nc.variables[vname]\nh = var[:,iy,ix]",
"language": "python",
"outputs": []
},
{
"cell_type": "code",
"input": "plt.figure(figsize=(16,4))\nplt.plot_date(jd,h,fmt='-')\nplt.grid()\nplt.ylabel(var.units)\nplt.title('%s at Lon=%.2f, Lat=%.2f' % (vname, lon[ix], lat[iy]))",
"language": "python",
"outputs": [
{
"output_type": "pyout",
"prompt_number": 47,
"text": "<matplotlib.text.Text at 0x7f25f5a3e5d0>"
},
{
"output_type": "display_data",
"png": 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RwPebb4Bdu4C0NK1bREREpH/M8SUiInIi8+cDGzYAa9YAtWoBX38N1K+vdauI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}
],
"prompt_number": 47
}
]
}
]
}
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