From wrf import getvar all_times to_np
WebImport packages from netCDF4 import Dataset import numpy as np import matplotlib.pyplot as plt import xarray as xr import os from wrf import (to_np, getvar, CoordPair, vertcross, latlon_coords) import geocat.datafiles as gdf import geocat.viz as gv Read in the data WebWRF rainnc = getvar (ncfile1, "RAINNC",timeidx=ALL_TIMES) # get all times, otherwise just gets last one latwrf = getvar (ncfile1, "XLAT",timeidx=-1) # just need one time lonwrf = getvar (ncfile1, "XLONG",timeidx=-1) wspd = getvar (ncfile1, "WSPD",timeidx=ALL_TIMES) # (times,lats,lons) GF = np.max (wspd,axis=0)/np.mean (wspd,axis=0) # (lats,lons)
From wrf import getvar all_times to_np
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WebMar 16, 2024 · from wrf import (getvar, interplevel, to_np, latlon_coords) # read the file path_file ('/path/to/your/wrf/output/file') ncfile = Dataset (path_file) # select your timestep … Webfrom wrf import (getvar, to_np, get_cartopy, latlon_coords, vertcross, cartopy_xlim, cartopy_ylim, ALL_TIMES, extract_vars, omp_set_num_threads, omp_get_num_procs) wrf_file =...
Webimport numpy as np import matplotlib.pyplot as plt from matplotlib.cm import get_cmap import cartopy.crs as crs import cartopy.feature as cfeature from cartopy.feature import NaturalEarthFeature from netCDF4 import Dataset from wrf import (getvar, to_np, vertcross, smooth2d, CoordPair, GeoBounds, get_cartopy, latlon_coords, cartopy_xlim ... WebSep 18, 2024 · >>> from wrf import getvar Traceback (most recent call last): File "", line 1, in File "C:\Users\Paul\anaconda3\lib\site-packages\wrf\__init__.py", line 6, in from . import api File "C:\Users\Paul\anaconda3\lib\site-packages\wrf\api.py", line 1, in from .config import (xarray_enabled, disable_xarray, enable_xarray, File …
Webimport numpy as np import matplotlib. pyplot as plt from matplotlib. cm import get_cmap from netCDF4 import Dataset from wrf import ( getvar, to_np, vertcross, smooth2d, CoordPair , get_basemap, latlon_coords ) # Open the NetCDF file ncfile = Dataset ( "wrfout_d01_2016-10-07_00_00_00" ) # Get the WRF variables slp = getvar ( ncfile, … Webcontour_levels = np.arange(-80.0, 10.0, 10.0) plt.contourf(to_np(lons), to_np(lats), to_np(ctt), contour_levels, cmap=get_cmap("Greys"), transform=crs.PlateCarree(), …
WebJun 13, 2024 · I'm using wrf.getvar() to open a time series for several variables (HFX, LH, some of the diagnostic variables) that are stored in WRF-written netCDF files. Each file …
WebMay 5, 2024 · It looks like the file you are running this from is wrf.py, which may cause a name conflict with the wrf-python module named wrf. Have you tried running the same … hdfc credit card swipe chargesWebMar 2, 2024 · 1 You can use pandas to do the conversion.You can choose the timezone that works for you. Just added the snippet thats useful. import pandas as pd #..Read … hdfc credit card status in processWebfrom netCDF4 import Dataset from wrf import getvar, interplevel wrfin = Dataset("wrfout_d02_2010-06-13_21:00:00") p = getvar(wrfin, "pressure") ht = getvar(wrfin, "z", units="dm") ht_500 = interplevel(ht, p, 500.0) Interpolate Relative Humidity to … hdfc credit card terms and conditionWebdef area_collect_data_opt_spr (date, para, cuttime, path): import wrf import pandas as pd import xarray as xr import numpy as np from netCDF4 import Dataset from wrf import getvar filename = 'wrfout_d03_' + date + '_18_00_00.nc' ref = 'REF_Run_' + str (pd.to_datetime (date).year) # reference run spr = 'SPR_Run_' + str (pd.to_datetime … hdfc credit card statement viewWebimport cartopy.crs as ccrs import cartopy.feature as cfeature import matplotlib.pyplot as plt import metpy.calc as mpcalc from metpy.units import units import numpy as np import xarray as xr import datetime import os import datetime import metpy from scipy.ndimage import gaussian_filter from metpy.interpolate import cross_section hdfc credit card standing instructionWebMar 14, 2024 · from netCDF4 import Dataset import numpy as np from wrf import getvar, ALL_TIMES a = Dataset("my_wrf_file.nc") my_times = getvar(a, "times", ALL_TIMES) … golden gate headlands half marathonWeb47 rows · timeidx ( int or wrf.ALL_TIMES, optional) – The desired time index. This value can be a positive integer, negative integer, or wrf.ALL_TIMES (an alias for None) to … golden gate headlands marathon