Skip to content

Instantly share code, notes, and snippets.

@rsignell-usgs
Last active October 13, 2015 20:27
Show Gist options
  • Save rsignell-usgs/4251308 to your computer and use it in GitHub Desktop.
Save rsignell-usgs/4251308 to your computer and use it in GitHub Desktop.
Exploring Climate Data: Past and Future
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "Dustbowl climate data example with GDP"
},
"nbformat": 3,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"source": "#Exploring Climate Data: Past and Future\n##Roland Viger, Rich Signell, USGS\nFirst presented at the 2012 Unidata Workshop: Navigating Earth System Science Data, 9-13 July.\n\nWhat if you were watching [Ken Burns's Dustbowl](http://www.pbs.org/kenburns/dustbowl/), saw the striking image below, and wondered: \"How much precipitation there really was back in the dustbowl years?\" How easy is it to access and manipulate climate data in a scientific analysis? Here we'll show some powerful tools that make it easy.\n"
},
{
"cell_type": "code",
"input": "from IPython.core.display import Image\nImage('http://www-tc.pbs.org/kenburns/dustbowl/media/photos/s2571-lg.jpg')",
"language": "python",
"outputs": [
{
"jpeg": "/9j/4AAQSkZJRgABAQEAlgCWAAD/2wBDAAYEBAQFBAYFBQYJBgUGCQsIBgYICwwKCgsKCgwQDAwM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\nLLBLUkeVOxx1qizbC0kFsaSdlAxUR//Z\n",
"output_type": "pyout",
"prompt_number": 1,
"text": "<IPython.core.display.Image at 0x2f89850>"
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"source": "Above:Dust storm hits Hooker, OK, June 4, 1937. \n\nTo find out how much rainfall was there during the dust bowl years, we can use the [USGS/CIDA GeoDataPortal (GDP)](http://cida.usgs.gov/climate/gdp/) which can compute statistics of a gridded field within specified shapes, such as county outlines. Hooker is in Texas County, Oklahoma, so here we use the GDP to compute a historical time series of mean precipitation in Texas County using the PRISM dataset. We then compare to climate forecast projections to see if similar droughts are predicted to occur in the future, and what the impact of different climate scenarios might be. "
},
{
"cell_type": "code",
"input": "import numpy as np\nimport matplotlib.dates as mdates\nimport matplotlib.pyplot as plt\nimport urllib\nimport os\nfrom IPython.core.display import HTML",
"language": "python",
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"input": "cd /usgs/data1/notebook",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "/usgs/data1/notebook\n"
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"input": "import pyGDP\nimport numpy as np\nimport matplotlib.dates as mdates",
"language": "python",
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"input": "# Now, if we used GDP on the browser, we would navigate through something liks this:\nHTML('<iframe src=http://screencast.com/t/K7KTcaFrSUc width=800 height=600></iframe>')",
"language": "python",
"outputs": [
{
"html": "<iframe src=http://screencast.com/t/K7KTcaFrSUc width=800 height=600></iframe>",
"output_type": "pyout",
"prompt_number": 5,
"text": "<IPython.core.display.HTML at 0x314d950>"
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"input": "# Create a pyGDP object\nmyGDP = pyGDP.pyGDPwebProcessing()",
"language": "python",
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"input": "# Let's see what shapefiles are already available on the GDP server\n# this changes with time, since uploaded shapefiles are kept for a few days\nshapefiles = myGDP.getShapefiles()\nprint 'Available Shapefiles:'\nfor s in shapefiles:\n print s",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Available Shapefiles:\ndraw:mexico\nupload:lochvale_basin\ndraw:Chico\nsample:simplified_HUC8s\nsample:Alaska\nsample:CSC_Boundaries\nupload:OKCNTYD\nupload:rgn3\nupload:sleepers_basin\nsample:CONUS_States\ndraw:test_daymet\nupload:troutlake_basin\nsample:FWS_LCC\nupload:panola_basin\nupload:NACP\n"
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"input": "# Is our shapefile there already?\n# If not, upload it. \nOKshapeFile = 'upload:OKCNTYD'\nif not OKshapeFile in shapefiles:\n shpfile = myGDP.uploadShapeFile('OKCNTYD.zip')",
"language": "python",
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"input": "# Let's check the attributes of the shapefile\nattributes = myGDP.getAttributes(OKshapeFile)\nprint \"Shapefile attributes:\"\nfor a in attributes:\n print a",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Shapefile attributes:\nOBJECTID_1\nOBJECTID\nRECTYPE\nVERSION\nREVISION\nMODDATE\nPOLYID\nFEATUREID\nCNTRLONG\nCNTRLAT\nDESCRIP\nSTFIPS\nShape_area\nShape_len\n"
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"input": "# In this particular example, we are interested in attribute = 'DESCRIP', \n# which provides the County names for Oklahoma\nuser_attribute = 'DESCRIP'\nvalues = myGDP.getValues(OKshapeFile, user_attribute)\nprint \"Shapefile attribute values:\"\nfor v in values:\n print v",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Shapefile attribute values:\nAdair\nAlfalfa\nAtoka\nBeaver\nBeckham\nBlaine\nBryan\nCaddo\nCanadian\nCarter\nCherokee\nChoctaw\nCimarron\nCleveland\nCoal\nComanche\nCotton\nCraig\nCreek\nCuster\nDelaware\nDewey\nEllis\nGarfield\nGarvin\nGrady\nGrant\nGreer\nHarmon\nHarper\nHaskell\nHughes\nJackson\nJefferson\nJohnston\nKay\nKingfisher\nKiowa\nLatimer\nLe Flore\nLincoln\nLogan\nLove\nMajor\nMarshall\nMayes\nMcClain\nMcCurtain\nMcIntosh\nMurray\nMuskogee\nNoble\nNowata\nOkfuskee\nOklahoma\nOkmulgee\nOsage\nOttawa\nPawnee\nPayne\nPittsburg\nPontotoc\nPottawatomie\nPushmataha\nRoger Mills\nRogers\nSeminole\nSequoyah\nStephens\nTexas\nTillman\nTulsa\nWagoner\nWashington\nWashita\nWoods\nWoodward\n"
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"input": "# we want Texas County, Oklahoma, which is where Hooker is located\nuser_value = 'Texas'\n\n#Once we have our shapefile, attribute, and value, we pick a dataset we are interested in.f\n# Let's see what datasets are available. \ndataSets = myGDP.getDataSetURI()\nprint \"Available gridded datasets\"\nfor d in dataSets:\n print d",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "The dataSetURI outputs a select few URIs and may not work with the specific shapefile you are providing.\nTo ensure compatibility, we recommend selecting a dataSetURI that is specific to the shapefile.\nOr you may utilize the web gdp @ http://cida.usgs.gov/gdp/ to get a dataSet matching your specified shapefile.\n\nAvailable gridded datasets\nhttp://regclim.coas.oregonstate.edu:8080/thredds/dodsC/regcmdata/NCEP/merged/monthly/RegCM3_A2_monthly_merged_NCEP.ncml\ndods://igsarm-cida-thredds1.er.usgs.gov:8080/thredds/dodsC/dcp/conus_grid.w_meta.ncml\nhttp://cida.usgs.gov/qa/thredds/dodsC/prism\ndods://igsarm-cida-thredds1.er.usgs.gov:8080/thredds/dodsC/maurer/maurer_brekke_w_meta.ncml\ndods://igsarm-cida-thredds1.er.usgs.gov:8080/thredds/dodsC/dcp/alaska_grid.w_meta.ncml\ndods://igsarm-cida-thredds1.er.usgs.gov:8080/thredds/dodsC/gmo/GMO_w_meta.ncml\n"
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"input": "# If you choose a DAP URL, use the \"dods:\" prefix, even\n# if the list above has a \"http:\" prefix.\n# For example: dods://cida.usgs.gov/qa/thredds/dodsC/prism\n# Let's see what data variables are in our dataset\ndataSetURI = 'dods://cida.usgs.gov/qa/thredds/dodsC/prism'\ndataTypes = myGDP.getDataType(dataSetURI)\nprint \"Available variables:\"\nfor d in dataTypes:\n print d",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Available variables:\nppt\ntmx\ntmn\n"
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"input": "# Let's see what the available time range is for our data variable\nuser_dataType = 'ppt' # precip\ntimeRange = myGDP.getTimeRange(dataSetURI, user_dataType)\nfor t in timeRange:\n print t",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "1895-01-01T00:00:00Z\n2012-08-01T00:00:00Z\n"
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"input": "timeBegin = '1900-01-01T00:00:00Z'\ntimeEnd = '2012-08-01T00:00:00Z'",
"language": "python",
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"input": "# Once we have our shapefile, attribute, value, dataset, datatype, and timerange as inputs, we can go ahead\n# and submit our request.\nname1='gdp_texas_county_prism.csv'\nif not os.path.exists(name1):\n url_csv = myGDP.submitFeatureWeightedGridStatistics(OKshapeFile, dataSetURI, user_dataType, \n timeBegin, timeEnd, user_attribute, user_value, delim='COMMA', stat='MEAN' )\n f = urllib.urlretrieve(url_csv,name1)",
"language": "python",
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"input": "# load historical PRISM precip\njd,precip=np.loadtxt(name1,unpack=True,skiprows=3,delimiter=',', \n converters={0: mdates.strpdate2num('%Y-%m-%dT%H:%M:%SZ')})",
"language": "python",
"outputs": [],
"prompt_number": 16
},
{
"cell_type": "code",
"input": "def boxfilt(data,boxwidth):\n from scipy import signal\n import numpy as np\n weights=signal.get_window('boxcar',boxwidth)\n dataf=np.convolve(data,weights/boxwidth,mode='same')\n dataf=np.ma.array(dataf)\n dataf[:boxwidth/2]=np.nan\n dataf[-boxwidth/2:]=np.nan\n dataf=np.ma.masked_where(dataf==np.nan,dataf)\n return dataf",
"language": "python",
"outputs": [],
"prompt_number": 17
},
{
"cell_type": "code",
"input": "# PRISM data is monthly: filter over 36 months\nplp=boxfilt(precip,36)\n\nfig=plt.figure(figsize=(12,2), dpi=80) \nax1 = fig.add_subplot(111)\ng1=ax1.plot_date(jd,plp,fmt='b-')\ng2=ax1.plot_date(jd,0*jd+np.mean(precip),fmt='k-')\nfig.autofmt_xdate()\nplt.title('Average Precip for Texas County, Oklahoma, calculated via GDP using PRISM data ')\nplt.grid()",
"language": "python",
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAArsAAACZCAYAAAAvmPKWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngUAgEAgENoswdgUCgUAgEAgENsv/A9I2VXKf1V0yAAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"input": "HTML('<iframe src=http://www.ipcc.ch/publications_and_data/ar4/wg1/en/spmsspm-projections-of.html width=900 height=350></iframe>')",
"language": "python",
"outputs": [
{
"html": "<iframe src=http://www.ipcc.ch/publications_and_data/ar4/wg1/en/spmsspm-projections-of.html width=900 height=350></iframe>",
"output_type": "pyout",
"prompt_number": 19,
"text": "<IPython.core.display.HTML at 0x314dd50>"
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"input": "hayhoe_URI ='dods://cida-eros-thredds1.er.usgs.gov:8082/thredds/dodsC/dcp/conus_grid.w_meta.ncml'\ndataType = 'ccsm3_a1fi_pr'\ntimeRange = myGDP.getTimeRange(hayhoe_URI, dataType)",
"language": "python",
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"input": "timeRange",
"language": "python",
"outputs": [
{
"output_type": "pyout",
"prompt_number": 21,
"text": "['1960-01-01T00:00:00Z', '2099-12-31T00:00:00Z']"
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"input": "# retrieve the CCSM3 model A1FI \"Business-as-Usual\" scenario:\nname2='gdp_texas_county_ccsm_a1f1.csv'\nif not os.path.exists(name1):\n result2 = myGDP.submitFeatureWeightedGridStatistics(OKshapeFile, hayhoe_URI, dataType,\n timeRange[0],timeRange[1],user_attribute,user_value, delim='COMMA', stat='MEAN' )\n f = urllib.urlretrieve(result2,name2) ",
"language": "python",
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"input": "# now retrieve the CCSM3 model B1 \"Eco-Friendly\" scenario:\nname3='gdp_texas_county_ccsm_b1.csv'\nif not os.path.exists(name1):\n dataType = 'ccsm3_b1_pr'\n result3 = myGDP.submitFeatureWeightedGridStatistics(OKshapeFile, hayhoe_URI, dataType,\n timeRange[0],timeRange[1],user_attribute,user_value, delim='COMMA', stat='MEAN' )\n f = urllib.urlretrieve(result3,name3)",
"language": "python",
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"input": "# Load the GDP result for: CCSM A1FI \"Business-as-Usual\" scenario:\njd_a1f1,precip_a1f1 = np.loadtxt(name2,unpack=True,skiprows=3,\n delimiter=',',converters={0: mdates.strpdate2num('%Y-%m-%dT%H:%M:%SZ')}) \n\n# Load the GDP result for: CCSM B1 \"Eco-Friendly\" scenario:\njd_b1,precip_b1 = np.loadtxt(name3,unpack=True,skiprows=3,\n delimiter=',',converters={0: mdates.strpdate2num('%Y-%m-%dT%H:%M:%SZ')}) ",
"language": "python",
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "code",
"input": "# Hayhoe climate downscaling is hourly: filter over 1080 days (36 months)\nplp_a1f1=boxfilt(precip_a1f1,1080)\nplp_b1=boxfilt(precip_b1,1080)\n#plp_a1b_c=boxfilt(precip_a1b_c,36)",
"language": "python",
"outputs": [],
"prompt_number": 25
},
{
"cell_type": "code",
"input": "fig=plt.figure(figsize=(15,3), dpi=80) \nax1 = fig.add_subplot(111)\nfac=30. # convert from mm/day to mm/month (approx)\n# plot A1F1 scenario\ng1=ax1.plot_date(jd_a1f1,plp_a1f1*fac,fmt='b-')\n# plot B1 scenario \ng2=ax1.plot_date(jd_b1,plp_b1*fac,fmt='g-')\n# plot PRISM data\ng3=ax1.plot_date(jd,plp,fmt='r-') # for some reason when I add this the labels get borked\nax1.xaxis.set_major_locator(mdates.YearLocator(10,month=1,day=1))\nylabel('mm/month')\nplt.title('Average Precip for Texas County, Oklahoma, calculated via GDP using Hayhoe Downscaled GCM ')\ngrid()\nlegend(('A1FI','B1','PRISM Data'),loc='upper left')",
"language": "python",
"outputs": [
{
"output_type": "pyout",
"prompt_number": 26,
"text": "<matplotlib.legend.Legend at 0x457ab10>"
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA3AAAADQCAYAAABGHoOkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nUAeOIAiCIAiCIAhCEP4fYZvUcTfwJncAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 26
},
{
"cell_type": "markdown",
"source": "As we can see from the above plot, the CCSM model is not doing very well simulating the precipitation in Texas County, OK during the period when the simulation and data overlap (1960-present). This makes us less confident about the future precipitation simulations, and suggests we might need to try some different climate models and learn a bit more about climate simulations. When we do learn more, we find out that models have known biases in certain regions. "
},
{
"cell_type": "markdown",
"source": "Now just to show that we can access more than climate model time series, let's extract precipitation data from a dry winter (1936-1937) and a normal winter (2009-2010) for Texas County and look at the spatial patterns. \n\nWe'll use the netCDF4-Python library, which allows us to open OPeNDAP datasets just as if they were local NetCDF files. "
},
{
"cell_type": "code",
"input": "import netCDF4\nurl='http://cida.usgs.gov/qa/thredds/dodsC/prism'\nbox = [-102,36.5,-101,37] # Bounding box for Texas County, Oklahoma\n",
"language": "python",
"outputs": [],
"prompt_number": 27
},
{
"cell_type": "code",
"input": "# define a mean precipitation function, here hard-wired for the PRISM data\ndef mean_precip(nc,bbox=None,start=None,stop=None):\n lon=nc.variables['lon'][:]\n lat=nc.variables['lat'][:]\n tindex0=netCDF4.date2index(start,nc.variables['time'],select='nearest')\n tindex1=netCDF4.date2index(stop,nc.variables['time'],select='nearest')\n bi=(lon>=box[0])&(lon<=box[2])\n bj=(lat>=box[1])&(lat<=box[3])\n p=nc.variables['ppt'][tindex0:tindex1,bj,bi]\n latmin=np.min(lat[bj])\n p=np.mean(p,axis=0)\n lon=lon[bi]\n lat=lat[bj]\n return p,lon,lat",
"language": "python",
"outputs": [],
"prompt_number": 28
},
{
"cell_type": "code",
"input": "nc = netCDF4.Dataset(url)\np,lon,lat = mean_precip(nc,bbox=box,start=datetime.datetime(1936,11,1,0,0),\n stop=datetime.datetime(1937,4,1,0,0))\np2,lon,lat = mean_precip(nc,bbox=box,start=datetime.datetime(2009,11,1,0,0),\n stop=datetime.datetime(2010,4,1,0,0))\nlatmin = np.min(lat)",
"language": "python",
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"input": "fig = plt.figure(figsize=(12,5), dpi=80) \nax = fig.add_axes([0.1, 0.15, 0.3, 0.8])\npc = ax.pcolormesh(lon, lat, p, cmap=plt.cm.jet_r)\nax.set_aspect(1.0/np.cos(latmin * np.pi / 180.0))\nplt.title('Precip in Texas County, Oklahoma: Winter 1936-1937')\n\ncbax = fig.add_axes([0.45, 0.3, 0.03, 0.4])\ncb = plt.colorbar(pc, cax=cbax, orientation='vertical')\ncb.set_label('Precip (mm/month)')\n\nax2 = fig.add_axes([0.6, 0.15, 0.3, 0.8])\npc2 = ax2.pcolormesh(lon, lat, p2, cmap=plt.cm.jet_r)\nax2.set_aspect(1.0/np.cos(latmin * np.pi / 180.0))\nplt.title('Precip in Texas County, Oklahoma: Winter 2009-2010')\n\ncbax2 = fig.add_axes([0.95, 0.3, 0.03, 0.4])\ncb2 = plt.colorbar(pc2, cax=cbax2, orientation='vertical')\ncb2.set_label('Precip (mm/month)')\n\n\nplt.show()",
"language": "python",
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA00AAADKCAYAAAB5XqvRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndYCDJiIiIiIiog5w0ERERERERNSB/w8QUzAqgbd4RgAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 30
},
{
"cell_type": "markdown",
"source": "From the above patterns, we can see that it's significantly drier in the northwestern part of the county in both years. We can also see that the *maximum* precip in 1936-1937 is less than the *minimum* precipitation in 2009-2010. We can see just how much each part of the county was drier by doing the different plot below. "
},
{
"cell_type": "code",
"input": "fig=plt.figure(figsize=(12,5), dpi=80) \nax3 = fig.add_axes([0.1, 0.15, 0.3, 0.8])\npc3 = ax3.pcolormesh(lon, lat, p2-p, cmap=plt.cm.jet_r)\nax3.set_aspect(1.0/np.cos(latmin * np.pi / 180.0))\nplt.title('Precip in Texas County, Oklahoma: Difference 2010-1937')\n\ncbax3 = fig.add_axes([0.45, 0.3, 0.03, 0.4])\ncb3 = plt.colorbar(pc3, cax=cbax3, orientation='vertical')\ncb3.set_label('Precip (mm/month)')",
"language": "python",
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAagAAADKCAYAAADw+dQlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhBDSKFGCIoQQ0ij9P/hhfHsUSH8sAAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 31
},
{
"cell_type": "markdown",
"source": "The above plot shows that relative to 2010, the drought during 1937 had the biggest different in precip in the northeastern part of the county."
},
{
"cell_type": "markdown",
"source": "Hopefully this demo inspires other investigation of historical and projected climate data using the GDP and Python. "
},
{
"cell_type": "code",
"input": "",
"language": "python",
"outputs": [],
"prompt_number": 31
}
]
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment