参考:python中scale的用法_在netCDF4和Python中使用scale_factor和add_offset的示例?参考代码:import netCDF4 as ncdir_path = "./2m_temperature/03_TIFF/" files = os.listdir(dir_path) files = sorted(files) for file in files: if file.find('.tiff') < 0: continue ...
Python处理netCDF文件的scale_factor有哪些注意事项? 1.使用NCL的方案: short2flt Converts values of type short to values of type float using the "scale" and "offset" attributes (if present). short2flt函数就能一步到位! 链接: https://www.ncl.ucar.edu/Document/Functions/Contributed/short2flt....
如果你想知道如何使用add_offset和scale_factor参数来打包或解包.nc文件中的数据,你可以阅读这里。当您使用python读取netCDF4文件时(例如下载NCEP reanalysis I数据),您可以参考以下代码:>>> import netCDF4 as nc>>> file_obj = nc.Dataset('./air.mon.mean.nc')>>> file_obj.variables.keys()odict_keys...
在netCDF4 Python中使用date2num转换日期时间时出错 从NETCDF文件中提取子集属性域,并用python将其写入txt文件 使用Python从HTML文件中提取文本 使用Python从zipfile中提取特定文件 使用名称从df中提取行 在netCDF4和Python中使用scale_factor和add_offset的示例?
NetCDF(网络公用数据格式)是一种用来存储温度、湿度、气压、风速和风向等多维科学数据(变量)的文件格式。 https://zhuanlan.zhihu.com/p/600050278 https://www.osgeo.cn/gdal/drivers/vector/netcdf.html nc转tif 安装netcdf 包 pip install netCDF4 ...
解包算法为真实值 = 打包值 * scale_factor + add_offset。如果你遇到一个nc文件,读出来的数据很奇怪(很整齐的整数、不合理的数据范围),或者解包参数不为默认值,则需要进行解包处理。 dataset.variables[name][index]: 获取所需属性property对应索引位置index的属性值,如dataset.variables['LON'][:]获取所有的...
<class 'netCDF4._netCDF4.Variable'> int16 tp(time, latitude, longitude) scale_factor: 2.2728221619081704e-06 add_offset: 0.0744712909570831 _FillValue: -32767 missing_value: -32767 units: m long_name: Total precipitation unlimited dimensions: ...
tco3 = scale_factor * tco3 + add_offset # 经纬度平均值 lon_0 = lons.mean() lat_0 = lats.mean() # 画图大小设置 fig = plt.figure(figsize=(16, 9)) plt.rc('font', size=15, weight='bold') ax = fig.add_subplot(111)
These lessons work with raster or “gridded” data that are stored as a uniform grid of values using the netCDF file format. This is the most common data format and file type in the atmosphere and ocean sciences; essentially all output from weather, climate and ocean models is gridded dat...
output_filename = f"daymet_{timescale}_prcp.nc" manager.save_netcdf(ds_simplified, output_filename) print("Done!") To explain what’s happening in this example: First, I define a bounding box for the Pacific Northwest region using longitude/latitude coordinates and specify that I want ann...