以下为REA5所有降雨数据的单位: ERA5总降雨数据单位介绍 即: the monthly averaged reanalysis:单位为 m/day the monthly averaged ensemble members: 单位为 m/day the monthly averaged reanalysis by hour of day: 单位为 m/hour the monthly averaged ensemble members by hour of day: 单位为:m/3_hours ...
时间分辨率:Hourly, Daily, Monthly 空间分辨率:0.1°×0.1° 时间跨度:1950年1月-至今 引用格式:Muñoz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on < DD-MMM-YYYY >), 10.24381/cds.e2161bac...
total_precipitation_sum Accumulated liquid and frozen water, including rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation (that precipitation which is generated by large-scale weather patterns, such as troughs and cold fronts) and convective precipitation...
function[sfp,sfe,mype]=era5land_read_submon(path)%[sfp,sfe,mype]=era5land_read_submon(path)%---%In:path[str]filenameofera_land5.nc%%%Out:%sfp[1x1]@sol_sfoftotal precipitation%sfe[1x1]@sol_sfoftotal evaporation%mype[1x1]@study_basin%---%Authors:Karl...
For each precipitation record series (from gauge stations or product grids), monthly relative anomalies were calculated as the monthly anomaly divided by the corresponding monthly climatology. The relative anomalies for the 12 months within a year were then summed to obtain the normalized annual ...
The monthly average spread of the ensemble is shown as gray bars in Fig. 6 and it ranges between 2 and 10, depending on the year and the intrinsic predictability of the atmospheric conditions in June. Although reanalysis is often used as a proxy for observations, it is ultimately the ...
convective_precipitation large_scale_precipitation Total_Precipitation 10m_u_component_of_wind 10m_v_component_of_wind surface_pressure MSLP surface_net_solar_radiation surface_latent_heat_flux surface_sensible_heat_flux surface_net_solar_radiation_clear_sky ...
Underestimations on the ERA5-Land precipitation estimates were observed when compared to the most accurate interpolation methods both at monthly (25%) and seasonal temporal scales (21% in winter and summer, 36% in autumn), with the exception for spring. The performance was significantly improved ...
Fig.4Monthlyaveragetotalprecipitation(a)andthecorrespondingerror curve(b)~(g)from2018to2020inSouthwestChina 6期黄晓龙等:ERA5-Land降水再分析资料在中国西南地区的适用性评估1569 与站点观测趋势变化基本一致,相对台站观测以偏高为主。ERA5L在5省(区、市)逐月评估指数和评分存在一定的周期性变化,表现为从7月...
ECMWF reanalysis was found to reproduce the pattern of daily and monthly precipitation for the country (Fig. 9) being able to capture the most part of the spatio-temporal variance. Similar good performance was obtained from an EOF analysis in Jiao et al. (2021) for China. ECMWF first and ...