download_file_from_era5(request,filepath)# 创建一个函数来执行实际下载defdownload_file_from_era5(request,filepath):print(f"Downloading data to{filepath}...")client=cdsapi.Client()client.retrieve("derived-era5-pressure-levels-daily-statistics",request).download(filepath)print(f"Download completed...
download_file_from_era5(request, filepath) # 创建一个函数来执行实际下载 def download_file_from_era5(request, filepath): print(f"Downloading data to {filepath}...") client = cdsapi.Client() client.retrieve("derived-era5-pressure-levels-daily-statistics", request).download(filepath) print(...
"reanalysis-era5-pressure-levels", { "product_type": "reanalysis", "data_format": "netcdf", "variable": [variable], "pressure_level": [pressure_level], "year": [year], "month": [month], "day": [day], "time": [hour + ":00"], "area": [60, 80, 20, 130], }, ) r....
ERA5 hourly data on single levels from 1940 to present single levels下载的数据需包含如下变量(19个): 'variable':['10m_u_component_of_wind','10m_v_component_of_wind','2m_dewpoint_temperature','2m_temperature','land_sea_mask','mean_sea_level_pressure','sea_ice_cover','sea_surface_tempe...
Pressure level data (download.py) import cdsapi c = cdsapi.Client() c.retrieve( 'reanalysis-era5-pressure-levels', { 'product_type': 'reanalysis', 'format': 'grib', 'variable': [ 'geopotential', 'relative_humidity', 'temperature','specific_humidity', 'u_component_of_wind', 'v_compo...
做完上面的准备工作之后,我们就可以前往Climate Data Store进行数据搜索与下载,以ERA5 hourly data on pressure levels from 1979 to present为例,在上图界面选择好数据后点击最下方的 Show API Quest,将里面的代码直接复制到你的集成开发环境里运行就好,这里对代码进行一下简单的分析: ...
ERA5 hourly data on pressure levels from 1979 to present 在31亿个ERA5 字段中,有361个损坏的字段被识别和替换。 损坏问题已于2021年4月14日解决。建议在2021-04-15年度之前已经下载过这些字段的用户重新下载。 以下是邮件提醒: 扫描二维码或复制链接查看具体损坏字段信息 ...
"reanalysis-era5-pressure-levels": an array of string of pressure-level variable names (Variable name in CDS). SeeTable 9on the ERA5 data documentation page for available variables to download. "reanalysis-era5-single-levels": an array of string of single-level variable names (Variable name...
a. ERA5 hourly data on pressure levels from 1979 to present b. ERA5 hourly data on single levels from 1979 to present c. ERA5-Land hourly data from 1981 to present 有Total Precipitation 变量的,只有 ERA5 hourly data on single levels from 1979 to present。
# download surface data self.__cds_client.retrieve("reanalysis-era5-single-levels", { "product_type": "reanalysis", "format": "netcdf", "variable": self.surface_variables, "pressure_level": self.pressure_levels, "date": dates, "time": times, "area": self.extent.to_list, }, target...