Hydrological application and accuracy evaluation of PERSIANN satellite-based precipitation estimates over a humid continental climate catchment

被引:40
作者
Eini, Mohammad Reza [1 ]
Rahmati, Akbar [2 ]
Piniewski, Mikolaj [1 ]
机构
[1] Warsaw Univ Life Sci, Inst Environm Engn, Dept Hydrol Meteorol & Water Management, Warsaw, Poland
[2] Univ Tehran, Coll Abureyhan, Dept Irrigat & Drainage Engn, Tehran, Iran
关键词
Satellite-derived rainfall; Real-time; Central Europe; High resolution; Gridded dataset; STREAMFLOW SIMULATION; RAINFALL PRODUCTS; DATA SET; RIVER; REANALYSIS; SYSTEM; VISTULA;
D O I
10.1016/j.ejrh.2022.101109
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: The Welna catchment (52 degrees 30'-53 degrees N and 16 degrees 35'-17 degrees 50'E) is a medium-sized, lowland catchment in the central part of Poland in Central Europe with a total catchment area of 2621 km(2). Study focus: Research evaluating the performing of satellite-based precipitation datasets in Poland and Central Europe is scarce. This study assesses the accuracy and implements five satellite-based precipitation estimates in hydrological simulations. PERSIANN (a satellite-based precipitation dataset) family datasets (consisting of PERSIANN, PERSIANN-CDR, PERSIANN-CCS, PDIR-NOW, PERSIANN-CCS-CDR) was evaluated in daily steps and seasonal steps against a regional gridded dataset (G2DC-PL+) in the period 2003-2019. Soil and Water Assessment Tool+ (SWAT+), a relatively new eco-hydrological model, was employed to simulate runoff in daily time steps. New hydrological insights for the region: Our results revealed that PERSIANN family products could accurately detect precipitation events according to POD, FAR, and CSI indicators. PERSIANN-CDR has a better correlation in the northern and central parts, and shows low accuracy in the southeastern catchment with a higher altitude. A similar pattern is observed in PDIR-NOW and PERSIANN-CCS for R2. Moreover, the SWAT+ results demonstrate that G2DC-PL+ could be a reliable source alternative to gauge data in runoff simulations. PERSIANN-CDR performed slightly better in runoff simulations compared to other gridded datasets.
引用
收藏
页数:14
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