A comprehensive investigation of three long-term precipitation datasets: Which performs better in the Yellow River basin?

被引:4
作者
Huang, Ruochen [1 ,2 ]
Yong, Bin [1 ,2 ,5 ]
Huang, Fan [2 ]
Wu, Hao [3 ]
Shen, Zhehui [4 ]
Qian, Da [1 ,2 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul Eng, Natl Key Lab Water Disaster Prevent, Nanjing, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China
[3] Chuzhou Univ, Sch Geog Informat & Tourism, Chuzhou, Peoples R China
[4] Nanjing Forestry Univ, Coll Civil Engn, Nanjing, Peoples R China
[5] Hohai Univ, Natl Key Lab Water Disaster Prevent, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
CHIRPS; ERA5-Land; extreme precipitation; MSWEP; precipitation estimates; the Yellow River basin; SATELLITE-OBSERVATIONS; PRODUCTS; TMPA; REANALYSIS; EXTREMES; CMORPH; GAUGE; IMERG; TRMM; MULTISENSOR;
D O I
10.1002/joc.8383
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The fifth generation European Centre for Medium-Range Weather Forecasts Reanalysis on global land surface (ERA5-Land), the Multi-Source Weighted-Ensemble Precipitation (MSWEP), and the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) are three representative precipitation estimates with quasi-global coverage, high-resolution and long-term record. This study concentrates on investigating, for the first time, the long-term spatiotemporal accuracy and regional applicability of these precipitation estimates at a daily scale in the Yellow River basin (YRB) using 39 complete years of data record (1981-2019), with a special focus on their capability on monitoring the extreme precipitation events with short duration and the continuous heavy precipitation events. Results indicate that MSWEP generally performs better than ERA5-Land and CHIRPS in almost all seasons and subregions, with the highest Pearson correlation coefficient and critical success index, lowest root mean square error and false alarm ratio. ERA5-Land presents a severe overestimation of precipitation amount, particularly in the plateau climate region (BIAS = 52.27%), but well reflects its spatial-temporal patterns in the YRB. As for the detecting capability, MSWEP shows the best accuracy in detecting extreme precipitation, particularly in maximum consecutive 5-day precipitation (RX5day). The MSWEP better represents the spatial distribution of maximum 1-day precipitation and maximum consecutive 5-day precipitation in the YRB, but it shows a significant overestimation in zone Southern Qinghai. MSWEP and CHIRPS have better performance of temporal variation consistency in annual precipitation with ground reference than ERA5-Land, while ERA5-Land performs well in capturing extreme precipitation temporal variation, especially for continuous heavy precipitation events. This study can provide useful guidance when choosing long-term precipitation products for hydrometeorological applications and climate-related studies in the YRB. This study concentrates on investigating, for the first time, the long-term (1981-2019) spatiotemporal accuracy and regional applicability of ERA5-Land, MSWEP and CHIRPS at a daily scale in the Yellow River basin (YRB), with a special focus on their capability on monitoring the extreme precipitation events with short duration and the continuous heavy precipitation events. image
引用
收藏
页码:1302 / 1325
页数:24
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