Skip to content

Instantly share code, notes, and snippets.

@ccarouge
Last active November 12, 2019 05:01
Show Gist options
  • Save ccarouge/c3e958cb00e8719a8e1b78f76cd69c54 to your computer and use it in GitHub Desktop.
Save ccarouge/c3e958cb00e8719a8e1b78f76cd69c54 to your computer and use it in GitHub Desktop.
Compare models on different calendars
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from clef.code import *\n",
"import matplotlib.pyplot as plt\n",
"import scipy.stats\n",
"import numpy as np\n",
"import cartopy.crs as ccrs\n",
"import xarray as xr\n",
"from shapely.geometry.polygon import LinearRing\n",
"import pathlib\n",
"import cftime"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def get_slope(data):\n",
" #slope = np.zeros((len(data.lat),len(data.lon)))\n",
" #for i in range(len(data.lat)):\n",
" # for j in range(len(data.lon)):\n",
" # print('{}/{} {}'.format(i,len(data.lat),j))\n",
" # time = np.arange(0,len(data.time)) #arr2000.isel(drop=True,lat=i,lon=j).time\n",
" # dummy, intercept, r_value, p_value, std_err = scipy.stats.linregress(time,data.isel(drop=True, lat=i,lon=j))\n",
" # slope[i,j] = dummy\n",
" #return slope\n",
"\n",
"\n",
" time = np.arange(0,len(data.time)) #arr2000.isel(drop=True,lat=i,lon=j).time\n",
" slope, intercept, r_value, p_value, std_err = xr.apply_ufunc(scipy.stats.linregress, time, data.load(),\n",
" input_core_dims=[[''], ['time']],\n",
" output_core_dims=[[], [], [], [], []],\n",
" vectorize=True)\n",
" return slope"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def plot_box(ax, llat, ulat):\n",
" lons = [0, 0, 360, 360]\n",
" lats = [llat, ulat, ulat, llat]\n",
" ring = LinearRing(list(zip(lons, lats)))\n",
" ax.add_geometries([ring], ccrs.PlateCarree(), facecolor='none', edgecolor='black')\n",
"\n",
"var2cmip = {'ua':'eastward_wind',\n",
" 'va':'northward_wind',\n",
" 'wap':'lagrangian_tendency_of_air_pressure',\n",
" 'evspsbl':'water_evaporation_flux',\n",
" 'pr':'precipitation_flux',\n",
" 'tas':'air_temperature'}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using the following models:\n",
"['HadGEM2-ES', 'BCC-CSM1.1']\n",
"\n"
]
}
],
"source": [
"db = connect()\n",
"s = Session()\n",
"\n",
"# Define lat/lon to calculate mean\n",
"llat = -40\n",
"ulat = -30\n",
"\n",
"# Define colorbar levels\n",
"levels = np.linspace(-5e-8,5e-8,10)\n",
"\n",
"# Define rolling window length (month)\n",
"rlen = 240\n",
"\n",
"constraints = {'variable': ['pr'], 'cmor_table': ['Amon'], 'experiment': ['rcp85'], 'model': ['HadGEM2-ES', 'BCC-CSM1.1']} #['HadGEM2-ES', 'CSIRO-Mk3.6.0', 'BCC-CSM1.1', 'IPSL-CM5A-LR', 'HadGEM2-ES', 'GISS-E2-H', 'GISS-E2-R', 'CCSM4']}\n",
"allvalues=['variable']\n",
"fixed=['model', 'ensemble']\n",
"ifiles, selection = matching(s, allvalues, fixed, **constraints)\n",
"\n",
"\n",
"# Find simulations that go to the year 2300\n",
"ifiles = [ifile for ifile in ifiles if int(ifile['tdate']) >= 22990000]\n",
"\n",
"print('Using the following models:')\n",
"print([ifile['model'] for ifile in ifiles])\n",
"print('')\n",
"\n",
"# Number of models\n",
"nmod = len(ifiles)\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/g/data1b/al33/replicas/CMIP5/combined/MOHC/HadGEM2-ES/rcp85/mon/atmos/Amon/r1i1p1/v20130430/pr\n",
"Model name: HadGEM2-ES\n",
"<xarray.DataArray 'pr' (time: 3529, lat: 145, lon: 192)>\n",
"dask.array<getitem, shape=(3529, 145, 192), dtype=float32, chunksize=(300, 145, 192), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * lat (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
" * lon (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
" * time (time) object 2005-12-16 00:00:00 ... 2299-12-16 00:00:00\n",
"Attributes:\n",
" standard_name: precipitation_flux\n",
" long_name: Precipitation\n",
" comment: at surface; includes both liquid and solid phases from...\n",
" units: kg m-2 s-1\n",
" original_name: mo: m01s05i216\n",
" cell_methods: time: mean\n",
" cell_measures: area: areacella\n",
" associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n",
"/g/data1b/al33/replicas/CMIP5/combined/BCC/bcc-csm1-1/rcp85/mon/atmos/Amon/r1i1p1/v20120705/pr\n",
"Model name: BCC-CSM1.1\n",
"<xarray.DataArray 'pr' (time: 3540, lat: 64, lon: 128)>\n",
"dask.array<getitem, shape=(3540, 64, 128), dtype=float32, chunksize=(2412, 64, 128), chunktype=numpy.ndarray>\n",
"Coordinates:\n",
" * lat (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 79.53 82.31 85.1 87.86\n",
" * lon (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
" * time (time) object 2006-01-16 12:00:00 ... 2300-12-16 12:00:00\n",
"Attributes:\n",
" standard_name: precipitation_flux\n",
" long_name: Precipitation\n",
" comment: at surface; includes both liquid and solid phases from...\n",
" units: kg m-2 s-1\n",
" original_name: PRECC+PRECL\n",
" cell_methods: time: mean (interval: 20 mintues)\n",
" cell_measures: area: areacella\n",
" associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 7 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 7 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"box_roll_mean = {}\n",
"slope2000 = {}\n",
"slope2100 = {}\n",
"slope2200 = {}\n",
"for ifile in ifiles:\n",
" print(ifile['pdir'])\n",
"\n",
" # Variable\n",
" varname = ifile['variable']\n",
" # Model name\n",
" model = ifile['model']\n",
" print(\"Model name:\",model)\n",
"\n",
" # Open the dataset\n",
" ds = xr.open_mfdataset('{}/*.nc'.format(ifile['pdir']), combine=\"by_coords\")\n",
" arr =ds[varname]\n",
"\n",
" # Remove duplicate times if any.\n",
" _,index = np.unique(arr['time'], return_index=True)\n",
" arr = arr.isel(time=index)\n",
" #print(arr.time)\n",
"\n",
" # Select three centuries\n",
" arr2000 = arr.sel(time=slice('2000-01-01','2099-12-30'))\n",
" arr2100 = arr.sel(time=slice('2100-01-01','2199-12-30'))\n",
" arr2200 = arr.sel(time=slice('2200-01-01','2299-12-30'))\n",
"\n",
" # Remap to GREB grid\n",
" nlat = 48\n",
" nlon = 96\n",
" greb_lat = np.linspace(-88.125, 88.125, nlat)\n",
" greb_lon = np.linspace(0, 356.25, nlon)\n",
"\n",
" arr2000 = arr2000.interp(lat=greb_lat, lon=greb_lon)\n",
" arr2100 = arr2100.interp(lat=greb_lat, lon=greb_lon)\n",
" arr2200 = arr2200.interp(lat=greb_lat, lon=greb_lon)\n",
"\n",
" ###### Fill in the remapping ######\n",
"\n",
" slope2000[model] = get_slope(arr2000)\n",
" slope2100[model] = get_slope(arr2100)\n",
" slope2200[model] = get_slope(arr2200)\n",
"\n",
" \n",
" ### Plot on map\n",
" plt.figure()\n",
" ax = plt.subplot(2,2,1, projection=ccrs.Robinson(central_longitude=180))\n",
" slope2000[model].plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree(), levels=levels)\n",
" plot_box(ax, llat, ulat)\n",
" ax.coastlines()\n",
" ax.set_title('2000-2099')\n",
"\n",
" ax = plt.subplot(2,2,2, projection=ccrs.Robinson(central_longitude=180))\n",
" slope2100[model].plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree(), levels=levels)\n",
" plot_box(ax, llat, ulat)\n",
" ax.coastlines()\n",
" ax.set_title('2100-2199')\n",
"\n",
" ax = plt.subplot(2,2,3, projection=ccrs.Robinson(central_longitude=180))\n",
" slope2200[model].plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree(), levels=levels)\n",
" plot_box(ax, llat, ulat)\n",
" ax.coastlines()\n",
" ax.set_title('2200-2299')\n",
"\n",
" ax = plt.subplot(2,2,4)\n",
" print(arr)\n",
" box_roll_mean[model] = arr.sel(lat=slice(llat,ulat)).mean(dim=['lat','lon']).load().rolling(time=rlen, center=False).mean()\n",
" box_roll_mean[model].plot(ax=ax,label=model)\n",
" plt.legend()\n",
" plt.suptitle(model)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# We need to change the time coordinate to the same calendar and same date (for example, 2006/01/15 and 2006/01/16\n",
"# aren't good). So I changed to 360_day calendar. I take the year and month from the original calendar and plug\n",
"# those to the new calendar with a day = 1. So the dates are now at the start of the month. Feel free to change\n",
"# the day (the '1' in cftime.Datetime360Day(bb[0],bb[1],1)) if you need to.\n",
"def to_360day_monthly(item):\n",
" '''Takes a tuple with model name and values in a DataArray. Change the \n",
" calendar to 360_day and precision to monthly.'''\n",
" model,val=item # Unpack the tuple into 2 variables\n",
" time1 = val.time.copy()\n",
" for itime in range(val.sizes['time']):\n",
" bb = val.time.values[itime].timetuple()\n",
" time1.values[itime] = cftime.Datetime360Day(bb[0],bb[1],1)\n",
" val = val.rename({'time':'time1'})\n",
" time1 = time1.rename({'time':'time1'})\n",
" val = val.assign_coords({'time1':time1})\n",
" val = val.assign_coords({'model':model}) # Keep the model name as a coordinate \n",
"\n",
" return val"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray (model: 2, time1: 3541)>\n",
"array([[ nan, nan, nan, ..., nan,\n",
" nan, nan],\n",
" [ nan, nan, nan, ..., 3.0174280e-05,\n",
" 3.0142703e-05, 3.0131232e-05]], dtype=float32)\n",
"Coordinates:\n",
" * time1 (time1) object 2005-12-01 00:00:00 ... 2300-12-01 00:00:00\n",
" * model (model) object 'HadGEM2-ES' 'BCC-CSM1.1'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Put both models on the same time calendar and dates.\n",
"list_box_roll_mean = []\n",
"for item in box_roll_mean.items():\n",
" ll = to_360day_monthly(item)\n",
" list_box_roll_mean.append(ll)\n",
"box_roll_mean_arr = xr.concat(list_box_roll_mean,dim='model',join='outer')\n",
"box_roll_mean_arr"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Concat the slope arrays as well. Easier as there is no time dimension.\n",
"slope2000_arr = xr.concat(list(slope2000.values()),dim='model')\n",
"slope2000_arr = slope2000_arr.assign_coords({'model':list(slope2000.keys())})\n",
"slope2100_arr = xr.concat(list(slope2100.values()),dim='model')\n",
"slope2100_arr = slope2100_arr.assign_coords({'model':list(slope2100.keys())})\n",
"slope2200_arr = xr.concat(list(slope2200.values()),dim='model')\n",
"slope2200_arr = slope2200_arr.assign_coords({'model':list(slope2200.keys())})"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/core/nanops.py:140: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
}
],
"source": [
"# Ensemble means:\n",
"ens_slope2000 = slope2000_arr.mean(dim='model')\n",
"ens_slope2100 = slope2100_arr.mean(dim='model')\n",
"ens_slope2200 = slope2200_arr.mean(dim='model')\n",
"ens_box_roll_mean = box_roll_mean_arr.mean(dim='model')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f1760d5d358>]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ens_box_roll_mean = box_roll_mean_arr.mean(dim='model')\n",
"ens_box_roll_mean.plot()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# I let you get back the code for the maps and check these work."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:analysis3-19.07] *",
"language": "python",
"name": "conda-env-analysis3-19.07-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@ccarouge
Copy link
Author

Note, you see how I created a list of DataArrays and then concatenate them into 1 DataArray? You could have your loop to read in the data and save the arr in a list. Then concatenate those in 1 DataArray. I believe after the rest of your code would work with little differences except it doesn't need to be on a loop on the models, it would apply to both models at once.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment