{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Tracks generated in http://localhost:8887/notebooks/increase/201114___Tracker%2050km.ipynb" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "code_folding": [ 0 ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tigress/hsiehtl/anaconda3/lib/python3.7/site-packages/dask/config.py:168: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n", " data = yaml.load(f.read()) or {}\n", "/tigress/hsiehtl/anaconda3/lib/python3.7/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n", " defaults = yaml.load(f)\n" ] } ], "source": [ "#c libraries\n", "%matplotlib inline\n", "import numpy as np\n", "import xarray as xr\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "code_folding": [] }, "outputs": [], "source": [ "plt.rc('font',**{'size':22})" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "code_folding": [ 0 ] }, "outputs": [], "source": [ "#c load land location\n", "land = xr.open_dataset('/home/hsiehtl/HiRAM_land_static.nc')['frac'][0]\n", "tmp = land.values/land.values\n", "tmp[np.isnan(tmp)] = 0\n", "land = xr.DataArray(tmp, coords=[land.grid_yt, land.grid_xt], dims=['lat', 'lon'])" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "models = ['ERA5']\n", "# models = ['AM2.5C360']\n", "# models = ['HiRAM', 'AM2.5C180']" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "# exps = ['p5xCO2', '2xCO2', 'plus2K_2xCO2', 'minus4K', 'minus2K', '', 'plus2K', 'plus4K']; ensembles = [1]\n", "# exps = ['plusinvlogistic1kat26C', 'plusinvlogistic1kat28C', 'pluslogistic1kat26C', 'pluslogistic1kat28C']; ensembles = [1]\n", "# exps = ['', 'rcp45_mme_late', 'plus2K', '2xCO2', 'plus2K_2xCO2']; ensembles = [1]\n", "# exps = ['plusNino_mclim', 'plusNina_mclim']; ensembles = [1]\n", "exps = ['']; ensembles = [1] # for ERA5\n", "# exps = ['amipHadISST']; ensembles = range(1, 4)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "#c specify simulation time\n", "# yrrange = range(111, 113)\n", "yrrange = range(1979, 2019) # for ERA5\n", "# yrrange = range(1971, 2019) # for AMIP model runs\n", "\n", "#c time indices\n", "idx_6hrly = range(365*4)\n", "idx_monthly = range(12)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### load NetCDF tracks" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "code_folding": [ 0 ] }, "outputs": [], "source": [ "def filename_convention(model, exp, en=-1):\n", " '''return name for processed data'''\n", " \n", " exp_name = exp\n", " if len(exp_name) > 0:\n", " exp_name = exp_name + '_'\n", " \n", " if model == 'HiRAM':\n", " if exp[:4] == 'amip':\n", " filename = 'HiRAM_'+exp_name+'tigercpu_intelmpi_18_540PE_en%02d'%en\n", " else:\n", " filename = 'HiRAM_CTL1990s_'+exp_name+'tigercpu_intelmpi_18_540PE'\n", " elif model == 'AM2.5C180':\n", " if exp[:4] == 'amip':\n", " filename = 'AM2.5_'+exp_name+'tigercpu_intelmpi_18_540PE_en%02d'%en\n", " else:\n", " filename = 'AM2.5_CTL1990s_'+exp_name+'tigercpu_intelmpi_18_540PE'\n", " elif model == 'AM2.5C360':\n", " if exp[:4] == 'amip':\n", " filename = 'AM2.5C360_'+exp_name+'tigercpu_intelmpi_18_1080PE_en%02d'%en\n", " else:\n", " filename = 'AM2.5C360_CTL1990s_'+exp_name+'tigercpu_intelmpi_18_1080PE'\n", " elif model == 'ERA5':\n", " filename = 'ERA5'\n", " else:\n", " print('invalid model name')\n", " \n", " return filename" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "code_folding": [] }, "outputs": [], "source": [ "#c load raw_tracks from netcdf\n", "raw_tracks = {}\n", "\n", "for model in models:\n", " for exp in exps:\n", " for en in ensembles:\n", " #c parameters for TC tracker\n", " if model == 'HiRAM' or model == 'AM2.5C180':\n", " rain_percentile = 99.5\n", " dist_threshold = 2.9 #i unit: degrees\n", " size_threshold = 3.1 #i unit: grid cells\n", " latlim = 30 #i ignore ECs formed above 30N\n", " elif model == 'AM2.5C360' or model == 'ERA5':\n", " rain_percentile = 99\n", " dist_threshold = 2.9 #i unit: degrees\n", " size_threshold = 5.1 #i unit: grid cells\n", " latlim = 30 #i ignore ECs formed above 30N\n", " else:\n", " print('invalid model name')\n", "\n", " filename = filename_convention(model, exp, en) \n", " raw_tracks[model+exp+str(en)] = xr.open_dataset('/tigress/hsiehtl/raw_tracks/year_dim/'+filename\\\n", " +'_yr%dto%d'%(yrrange[0],yrrange[-1])+'_mo%dto%d'%(idx_monthly[0]+1,idx_monthly[-1]+1)\\\n", " +'_rainPerc'+str(rain_percentile)+'_distThresh'+str(dist_threshold)+'_sizeThresh'+str(size_threshold)+'_latLim'+str(latlim)\\\n", " +'.nc')" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total rain cluster number/yr 1213.875\n", "Total seed number/yr 75.9\n" ] } ], "source": [ "#c collect genesis locations (seed and TC thresholds specified here)\n", "Grains = {}\n", "Gseeds = {}\n", "\n", "for model in models:\n", " for exp in exps:\n", " for en in ensembles:\n", " lifetime_threshold = 4.1 #i 4.1 time steps, to remove short-lived clusters for denoising\n", " seedtime_threshold = 0.1 #i time steps\n", "\n", " if model == 'AM2.5C360' or model == 'ERA5':\n", " seedVortThresh = '8e-4' #i according to Tracker calibration 25 vs 50 km.ipynb\n", " else:\n", " seedVortThresh = '4.7e-4' #i 4.7e-4\n", " seedvort_threshold = float(seedVortThresh) #i for seed count\n", " tcvort_threshold = float(seedVortThresh)/4.7*11 #i for TC count\n", "\n", " ds = raw_tracks[model+exp+str(en)]\n", " \n", " lat_ini = ds.lat.isel(lifetime=0).values.flatten()\n", " lon_ini = ds.lon.isel(lifetime=0).values.flatten()\n", " \n", " track_length = (~np.isnan(ds.lat)).sum('lifetime')\n", " rain_criteria = ( track_length > lifetime_threshold ).values.flatten() # bool, rain cluster or not\n", " seed_length = (ds.vort > seedvort_threshold).sum('lifetime') # how many time steps above seed vort threshold\n", " seed_criteria = rain_criteria*( seed_length > seedtime_threshold ).values.flatten() # bool, seed or not\n", " \n", " Grains[model+exp+str(en)] = np.array([lat_ini[rain_criteria], lon_ini[rain_criteria]])\n", " Gseeds[model+exp+str(en)] = np.array([lat_ini[seed_criteria], lon_ini[seed_criteria]])\n", " \n", " print('Total rain cluster number/yr', Grains[model+exp+str(en)].shape[-1]/len(yrrange))\n", " print('Total seed number/yr', Gseeds[model+exp+str(en)].shape[-1]/len(yrrange))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### plot genesis density" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "from scipy.interpolate import RectBivariateSpline as interp2d\n", "\n", "def scatter2hist(xscatter, yscatter, xcoord, ycoord, name='data'):\n", " bins = (np.linspace(0, 360, len(xcoord)+1), np.linspace(-90, 90, len(ycoord)+1)) # such that hist2d.dims have the same lengths as x/ycoord\n", " hist2d, xedges, yedges = np.histogram2d(xscatter, yscatter, bins=bins, density=False)\n", " return xr.DataArray(np.transpose(hist2d), coords=[ycoord, xcoord], name=name)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "from scipy.ndimage.filters import convolve1d\n", "\n", "def xroll(array, fac=1, axis=-1): \n", " \"\"\"compute cyclic rolling mean\"\"\"\n", " kernal = np.ones((fac))/fac\n", " rolled = convolve1d(array, kernal, axis=axis, mode='wrap')\n", " return array - array + rolled # preserves info of the data array\n", "\n", "def yroll(array, fac=1, axis=-2):\n", " kernal = np.ones((fac))/fac\n", " rolled = convolve1d(array, kernal, axis=axis, mode='nearest')\n", " return array - array + rolled # preserves info of the data array" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "#c factors for coarse-graining\n", "(coarse_lat, coarse_lon) = (10, 30)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "from scipy.interpolate import interp2d\n", "\n", "def smooth(da):\n", " return yroll(xroll(da, coarse_lon), coarse_lat)\n", "\n", "def latlim(da, latsouth=-25, latnorth=25):\n", " isouth = np.searchsorted(da.lat, latsouth)\n", " inorth = np.searchsorted(da.lat, latnorth)\n", " return da.isel(lat=range(isouth,inorth))\n", "\n", "def interp50(da, da50=land):\n", " \"\"\"interpolate to the 50km grid\"\"\"\n", " npinterp = interp2d(da[da.dims[1]], da[da.dims[0]], da)(da50.lon, da50.lat)\n", " xrinterp = xr.DataArray(npinterp, coords=[da50.lat, da50.lon], dims=['lat', 'lon'])\n", " return xrinterp" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "#c scatter to heat map\n", "Gseed_hists = {}\n", "for model in models:\n", " for exp in exps:\n", " for en in ensembles:\n", " hist2d = scatter2hist(Gseeds[model+exp+str(en)][1,:], Gseeds[model+exp+str(en)][0,:], \n", " land.lon, land.lat, name='') # binned by 50km grid\n", " hist2d = hist2d/(len(yrrange)*len(idx_monthly)) # such that sum(hist2d) = number of tracks per month\n", " # print('%.1f'%(np.sum(hist2d).values*len(idx_monthly))) # should be the same as number of tracks per year\n", "\n", " # ilatrange = range(np.searchsorted(hist2d.lat, ysouth), np.searchsorted(hist2d.lat, ynorth))\n", " # hist2d = hist2d.isel(lat=ilatrange)\n", "\n", " Gseed_hists[model+exp+str(en)] = hist2d" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'ERA5 ')" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#c histogram of seed genesis\n", "fig, ax = plt.subplots(1, 1, figsize=(30, 4), sharex=True, facecolor='w')\n", "# latlim( smooth( Gseed_hists['HiRAM1'] ) ).where(land<0.5).plot(robust=True)\n", "# latlim( smooth( Gseed_hists['HiRAMplus2K1'] ) ).where(land<0.5).plot(robust=True)\n", "# latlim( smooth( Gseed_hists['HiRAMamipHadISST1'] ) ).where(land<0.5).plot(robust=True)\n", "# latlim( smooth( Gseed_hists['AM2.5C1801'] ) ).where(land<0.5).plot(robust=True)\n", "latlim( smooth( Gseed_hists['ERA51'] ) ).where(land<0.5).plot(robust=True)\n", "# latlim( smooth( Gseed_hists['AM2.5C360amipHadISST1'] ) ).where(land<0.5).plot(robust=True)\n", "\n", "plt.xlabel('Longitude')\n", "plt.ylabel('Latitude')\n", "plt.xticks(range(0, 361, 60))\n", "plt.title(model+' '+exp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#c verified: the new netcdf format with year as a dimension is consistent with the old format without; that is, the following figure is the same (not exactly due to a few cross-year tracks) as that generated in http://localhost:8887/notebooks/enso/201113%20Track%20distribution.ipynb\n", "#c histogram of seed genesis\n", "fig, ax = plt.subplots(1, 1, figsize=(30, 4), sharex=True, facecolor='w')\n", "latlim( smooth( Gseed_hists['HiRAMamipHadISST1'] ) ).where(land<0.5).plot(robust=True)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "code_folding": [ 0 ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tigress/hsiehtl/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:32: RuntimeWarning: invalid value encountered in greater\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Total rain cluster number/yr 1863.6041666666667\n", "Total seed number/yr 814.875\n", "Total rain cluster number/yr 1866.4166666666667\n", "Total seed number/yr 813.4791666666666\n", "Total rain cluster number/yr 1868.6458333333333\n", "Total seed number/yr 813.9166666666666\n" ] } ], "source": [ "#c (the older, slower version): collect genesis locations (seed and TC thresholds specified here)\n", "Grains = {}\n", "Gseeds = {}\n", "\n", "for model in models:\n", " for exp in exps:\n", " for en in np.arange(en_size)+1:\n", " \n", " seedtime_threshold = 0.1 #i time steps\n", " lifetime_threshold = 4.1 #i 4.1 time steps, to remove short-lived clusters for denoising\n", "\n", " if model == 'AM2.5C360':\n", " seedVortThresh = '8e-4' #i according to Tracker calibration 25 vs 50 km.ipynb\n", " else:\n", " seedVortThresh = '4.7e-4' #i 4.7e-4\n", " seedvort_threshold = float(seedVortThresh) #i for seed count\n", " tcvort_threshold = float(seedVortThresh)/4.7*11 #i for TC count\n", "\n", " Grain = []\n", " Gseed = []\n", " ds = raw_tracks[model+exp+str(en)]\n", " \n", " for iyr in range(len(ds.year)):\n", " ntrack_per_year = np.sum(~np.isnan(ds.lat[iyr, :, 0].values)) # number of tracks in current year\n", " for itrack in range(ntrack_per_year):\n", " tracklength = np.sum(~np.isnan(ds.lat[iyr, itrack].values))\n", " if tracklength < lifetime_threshold:\n", " continue\n", "\n", " Grain.append( [ds.lat[iyr, itrack, 0].values, ds.lon[iyr, itrack, 0].values] ) # (y, x) of the first point\n", "\n", " seedlength = np.sum(ds.vort[iyr, itrack].values > seedvort_threshold) # time steps that the track is above seed strength\n", " if seedlength > seedtime_threshold:\n", " Gseed.append( [ds.lat[iyr, itrack, 0].values, ds.lon[iyr, itrack, 0].values] ) # (y, x) of the first point\n", "\n", " print('Total rain cluster number/yr', len(Grain)/len(yrrange))\n", " print('Total seed number/yr', len(Gseed)/len(yrrange))\n", " \n", " Grains[model+exp+str(en)] = np.array(Grain)\n", " Gseeds[model+exp+str(en)] = np.array(Gseed)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }