理解WRF输出文件结构:首先,简要解析WRFOUT文件的内容与格式, ,我们要结合wrfpython和netcdf读取它 雷达反射率的提取:基于wrfpython的getvar直接获取最大反射率诊断量,其变量名为mdbz 可视化实现:利用matplotlib将计算出的雷达反射率数据转化为填色图,并且是组图形式,展现降水强度的时空分布特征。 实战演练与优化:通过一...
nonzero())[0]) dbz_cross_filled[0:first_idx, i] = dbz_cross_filled[first_idx, i] # Get the terrain heights along the cross section line ter_line = interpline(ter, wrfin=ncfile, start_point=cross_start,end_point=cross_end) # Get the lat/lon points lats, lons = latlon_coords...
简而言之就是wrfpython的projection是str没法识别并有人提出方法:删除投影 单变量存取 In [25]: 代码语言:javascript 代码运行次数:0 运行 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import xarray as xr import os from netCDF4 import Dataset from wrf import getvar, ALL_TIMES def write_xarray_...
set_title("Cross-Section of Reflectivity (dBZ)", {"fontsize" : 14}) plt.show() 时空演变绘制(动画与视频) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 file_path = multiple_wrf_files() wrf_file = [Dataset(f) for f in file_path] slp_all = getvar(wrf_file, "slp", timeidx...
wrf-python includes a set of routines for converting back and forth between latitude,longitude space and x,y space. The methods are :meth:`wrf.xy_to_ll`, :meth:`wrf.xy_to_ll_proj`, :meth:`wrf.ll_to_xy`, :meth:`wrf.ll_to_xy_proj`. The latitude, longitude, x, and y parameter...
cpython-311/fortran/wrf_user_dbz.o build/temp.macosx-11.0-arm64-cpython-311/fortran/wrf_relhl.o build/temp.macosx-11.0-arm64-cpython-311/fortran/calc_uh.o build/temp.macosx-11.0-arm64-cpython-311/fortran/wrf_user_latlon_routines.o build/temp.macosx-11.0-arm64-cpython-311/fortran/...
The routines below are called internally by:meth:`wrf.getvar`. .. autosummary:: :nosignatures: :toctree: ./generated/ wrf.g_cape.get_2dcape wrf.g_cape.get_3dcape wrf.g_cloudfrac.get_cloudfrac wrf.g_ctt.get_ctt wrf.g_dbz.get_dbz wrf.g_dbz.get_max_dbz wrf.g_dewpoint.get_dp ...
Background Hi, all, I'm trying to plot the wind quiver on the crosssection. But, I find the wind direction is wrong. Here're the details. Read data and vertcross import numpy as np from wrf import getvar, interplevel, ALL_TIMES, CoordPai...
var_data = getvar(ncfile, var_name) if len(var_data.dims) == 3: # Check if the variable is 3-dimensional if var_name == "ua": extracted_vars.append(getvar(ncfile, "ua", units="m s-1")) elif var_name == "va": extracted_vars.append(getvar(ncfile, "va", units="m s-...
1、导入模块 1import numpy 2import cartopy 3from cartopy import crs 4from cartopy.feature import NaturalEarthFeature, COLORS 5import matplotlib.pyplot as plt 6from matplotlib.cm import get_cmap 7from…