temperature_profile2.plot(y='level', marker='x', label=f'Temperature 31.0N, 117.3E', ax=plt1) plt1.set_title('Temperature Profiles') plt1.set_xlabel('Temperature (K)') plt1.set_ylabel('Pressure Level (hPa)') plt1.invert_yaxis() # 压力随高度增加而减小,因此反转y轴 plt1.legend()...
pkl \ --level_var 'pressure_level' 输出数据结构: 输出pickle文件包含以下键: data: 合并后的数据数组(形状:变量数×时间×纬度×经度) time: 时间序列(datetime对象列表) variables: 包含的变量名称列表 latitudes: 纬度坐标数组 longitudes: 经度坐标数组 levels:气压层数组(高空数据才有) # 数据可视化 # ...
def download_era5_data(year, month, day, download_dir): dataset ="derived-era5-pressure-levels-daily-statistics" request = { "product_type":"reanalysis", "variable": ["geopotential"], "year": year, "month": [month], "day": [day], "pressure_level": [ "300","500","700", "850...
'surface_pressure','mean_sea_level_pressure','10m_u_component_of_wind','10m_v_component_of_wind','2m_temperature','sea_surface_temperature','skin_temperature','2m_dewpoint_temperature','snow_depth','sea_ice_cover','land_sea_mask','soil_type','soil_temperature_level_1','soil_temperatur...
regular int type# dataInfoDict["pressure_level"]=level # convert np.int64 to regular int typedataInfoDict["variable"]=varname# convert np.int64 to regular int typedataInfoDict["day"]=dayListdataInfoDict["area"]=areadataInfoDict["grid"]=griddataInfoDict["time"]=timeprint(dataInfoDict)c....
(注:zsfc.ctl为地面位势数据zsfc.grib的描述文件,pressure_level.ctl为气压层数据pressure_level.grib的描述文件。zsfc.grib可从"ERA5 hourly data on single levels from 1959 to present"的数据集中自己选定变量名Geopotential和时空范围来下载,pressure_level.grib可从"ERA5 hourly data on Pressure levels from ...
ERA5 DAILY provides aggregated values for each day for seven ERA5 climate reanalysis parameters: 2m air temperature, 2m dewpoint temperature, total precipitation, mean sea level pressure, surface pressure, 10m u-component of wind and 10m v-component of wind. Additionally, daily minimum and maximum...
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...
I have been using the latlon dataset here gs://gcp-public-data-arco-era5/ar/full_37-1h-0p25deg-chunk-1.zarr-v3. It has been extremely helpful for setting up different projects. I am wondering if it would be possible to rechunk the pressure level data. Currently all pressure levels...
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