Arid
DOI10.1016/j.ecoleng.2019.03.005
High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin
Eini, Mohammad Reza1; Javadi, Saman1; Delavar, Majid2; Monteiro, Jose A. F.3,4; Darand, Mohammad5
通讯作者Javadi, Saman
来源期刊ECOLOGICAL ENGINEERING
ISSN0925-8574
EISSN1872-6992
出版年2019
卷号131页码:107-119
英文摘要Hydrological modeling requires accurate climate data with high spatial resolution, what is often unavailable in a large fraction of the world. As an alternative to scarce meteorological observations, global reanalysis emerge as potential substitutes. Herewith, we compared CRU, NCEP CFSR, APHRODITE, and Asfezari reanalyses precipitation data with observed station data and SWAT applications using each of these reanalises to simulate the hydrology of the Maharlu Lake basin in Iran. In addition, we assessed the accuracy of these reanalysis in representing the local precipitation. Further, we employed observed and reanalysis precipitation in SWAT to simulate river discharge and evaluated the performance of the models. Monthly observed precipitation was best represented by CRU and NCEP CFSR (Nash-Sutcliffe Efficiency of 0.91), followed by APHRODITE (0.86) and Asfezari (0.80). In general, local precipitation was well represented by reanalysis products. According statistical metrics of the interpolation of CRU and APHRODITE were good and NCEP CFSR and Asfezari were satisfactory (Moriasi et al., 2007). Our assessment supported the use of reanalysis precipitation as a valid alternative to observations for hydrologic modelling in all regions especially in semi-arid basins.
英文关键词Drought Evapotranspiration Grid datasets Hydrology Sufi-2 Surface runoff
类型Article
语种英语
国家Iran ; Germany ; Switzerland
收录类别SCI-E
WOS记录号WOS:000465560700012
WOS关键词FORECAST SYSTEM REANALYSIS ; WATER ; SWAT ; SURFACE ; MODEL ; SOUTH ; UNCERTAINTY ; PREDICTION ; PRODUCTS ; IMPACTS
WOS类目Ecology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向Environmental Sciences & Ecology ; Engineering
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/215172
作者单位1.Univ Tehran, Coll Aburaihan, Dept Irrigat & Drainage, Tehran, Iran;
2.Univ Tarbiat Modares, Fac Agr, Dept Water Resources Management, Tehran, Iran;
3.Free Univ Berlin, Inst Biol Biodivers Theoret Ecol, Berlin, Germany;
4.Stat Off Basel Stadt, Basel, Switzerland;
5.Univ Kurdistan, Fac Nat Resources, Dept Climatol, Sanandaj, Iran
推荐引用方式
GB/T 7714
Eini, Mohammad Reza,Javadi, Saman,Delavar, Majid,et al. High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin[J],2019,131:107-119.
APA Eini, Mohammad Reza,Javadi, Saman,Delavar, Majid,Monteiro, Jose A. F.,&Darand, Mohammad.(2019).High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin.ECOLOGICAL ENGINEERING,131,107-119.
MLA Eini, Mohammad Reza,et al."High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin".ECOLOGICAL ENGINEERING 131(2019):107-119.
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