tab=overview ERA5 is the fifth generationECMWFatmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, theERA-Interimreanalysis. ERA5 DAILY provides aggregated value...
是 ECMWF ERA5 陆地小时数据的每日总和，包括流动带和非流动带。
Hourly() hourly_data = { "date": pd.date_range( start=pd.to_datetime(hourly.Time(), unit="s", utc=True), end=pd.to_datetime(hourly.TimeEnd(), unit="s", utc=True), freq=pd.Timedelta(seconds=hourly.Interval()), inclusive="left" ) } for i, variable in enumerate(variables): ...
Currently, the ERA5 data record extends over more than 83 years of hourly global three‐dimensional fields for many quantities that describe the global atmosphere, land surface, and ocean waves at a horizontal resolution of about 31 km. ERA5 relies on the ingestion of sub‐daily in‐situ and...
此外,ERA5可以提供逐小时输出及一个不确定性估计。The uncertainty information is obtained from a 10-member ensemble of data assimilations with 3-hourly output at half the horizontal resolution (63 km grid spacing).且ERA5输出的气象变量更丰富,例如多了100m风。
更多变量名请参考:https://confluence.ecmwf.int/pages/viewpage.action?pageId=82870405#ERA5:datadocumentation-Table7 3.ERA5-LAND变量属性: 数据大小:~35TB (2块18TB盘拷贝) 数据格式:NetCDF (.nc),格点数据 存储方式:每天1个文件(24时次),大小~1.2GB ...
试验结果表明：相较于GPT2w-1S 模型和GPT3-1S 模型，由ERA5气象资料估算的ZTD 产品具有更高的精度，均方根误差分别提高了27.53 mm 和27.50 mm 。 关键词 ERA5，对流层延迟模型，Saastamoinen 模型，GPT ，气象参数 Accuracy Analysis of Tropospheric Delay Calculation Based on Reanalysis Data ERA5 Wei Yuan...
Abstract:The ability of the most recently released high spatio-temporal resolution dataset, the fifth generation of European Centre for Medium-Range Weather Forecasts atmospheric reanalysis data (ERA5), to reproduce near-surface wind speed climatology and the linear trend is analyzed over China’s mai...
Daily Aggregates: Google and Copernicus Climate Data Store Collection Snippet Copied ee.ImageCollection("ECMWF/ERA5_LAND/DAILY_AGGR") 空间信息 Resolution 11132 meters Bands Table 变量 NameTypeDescriptiondayInt Calendar day monthInt Calendar month ...
The downscaling models typically used for reanalysis in meteorology share a problem formulation similar to super-resolution, where a low-resolution image is transformed into a high-resolution counterpart. This similarity opens up the possibility of utilizing data-driven neural methods to approximate the ...