下载:———机构:Copernicus Climate Data Store | Copernicus Climate Data Store下载网址:https://cds.climate.copernicus.eu/#!/home数据名:EAR5-Land monthly averaged data from 1950 to present 数据的空间分辨率为 1° 。点击进入后,选择download data,勾选要下载的变量和产品类型,如下两图所示: 选择好所需...
et al. ERA5 monthly averaged data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp# !/dataset/reanalysis-era5-single-levels-monthly-means?tab= overview https://doi.org/10.24381/cds.f17050d7 ...
retrieve( 'reanalysis-era5-land-monthly-means', { 'product_type': 'monthly_averaged_reanalysis', 'variable': 'runoff', 'year': [ '2020', '2021', ], 'month': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', ], 'time': '00:00'...
ee.ImageCollection("ECMWF/ERA5_LAND/MONTHLY_BY_HOUR") Resolution 0.1 degrees Bands Table 影像属性: NameTypeDescriptionhourIntHour of the day 数据引用: Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Cl...
ee.ImageCollection("ECMWF/ERA5_LAND/MONTHLY_BY_HOUR") Resolution 0.1 degrees Bands Table 影像属性: NameTypeDescriptionhourIntHour of the day 数据引用: Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store...
AI Earth平台目前上线ERA5-Land的3类数据产品,分别是ERA5-Land hourly data、ERA5-Land monthly averaged data、ERA5-Land monthly averaged data by hour of day ,ERA5-land 数据产品覆盖全球陆地区域1950-2022年共50类气象要素(包括温度、降水、大气压、辐射、蒸散发等),空间分辨率为0.1° x 0.1° (～9 ...
ERA5-Land soil temperature data at various layers (0–7 cm, 7–28 cm, 28–100 cm, and 100–289 cm) facilitated this analysis. Due to the limited vertical resolution, we computed the active layer thickness (and monthly thaw depth) by identifying the deepest layer annually (...
/home数据名:EAR5-Land monthly averaged data from 1950 to present 数据的空间分辨率为 1° 。点击进入后,选择download data,勾选要下载的变量和产品类型,如下两图所示: 选择好所需的时间,不要全部勾选,避免太多数据导致下载缓慢。 设置子区域(sub-region)为略大于研究区域的矩形框,建议每一边均外扩6°。
we considered data from 1979 to 2023. From ERA5L, we employed monthly mean timeseries fields of snow cover (SC), snow depth in water equivalent (SDW), skin temperature (SKT), and surface air temperature (T2M). Additionally, we obtained monthly accumulated timeseries fields of snowmelt (M...