干旱区生态环境知识资源中心(Arid): Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran

Arid

DOI	10.1016/j.ejrh.2021.100942
	Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran
	Eini, Mohammad Reza; Olyaei, Mohammad Ali; Kamyab, Taraneh; Teymoori, Javad; Brocca, Luca; Piniewski, Mikolaj
通讯作者	Piniewski, M (corresponding author), Warsaw Univ Life Sci, Inst Environm Engn, Dept Hydrol Meteorol & Water Management, Nowoursynowska 166, PL-02787 Warsaw, Poland.
来源期刊	JOURNAL OF HYDROLOGY-REGIONAL STUDIES
EISSN	2214-5818
出版年	2021
卷号	38
英文摘要	Study region: Iran has about 1.648 million km2, is placed between 44 degrees and 64 degrees E and 25-40 degrees N in the southwest of the Middle East and North Africa. It is characterized by a tough precipitation gradient with a mean annual precipitation of 250 mm, concentrating primarily during the wet months (January to April). Study focus: In this study, we evaluated the performance of three non-gauge-corrected satellite precipitation estimates and a linear combination of these products (SPC) versus the Asfezari (Iran national reanalysis dataset) using four continuous statistics (R2, NSE, RMSE, and BIAS) and three categorical metrics (POD, FAR, and CSI). New hydrological insights for the region: The foremost issue for hydrologists in Iran, and many other developing countries, is off-line rainfall data without near real-time availability. For this reason, researchers are using satellite products. These gridded datasets have their benefits and drawbacks with regard to their resolution, time span, time steps, and accuracy. Therefore, testing the quality of gridded datasets is the primary step of using them in hydrological assessments. Current research compares the satellite products with a national gridded dataset (Asfezari) over Iran for the first time. Overall, the SPC dataset had better accuracy than other datasets. Then SM2RAINASCAT showed better accuracy than PERSIANN-CCS and CMORPH in both statistical accuracy and detection.
英文关键词	Hydrology Drought Arid climate Soil moisture Zagros Mountains Spatial interpolation Global gridded precipitation
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000707476000001
WOS关键词	FORECAST SYSTEM REANALYSIS ; RAINFALL PRODUCTS ; PERSIANN FAMILY ; RIVER-BASIN ; TMPA ; PERFORMANCE ; SM2RAIN-CCI ; ACCURACY ; PROVINCE ; REGIMES
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363941
作者单位	[Eini, Mohammad Reza; Piniewski, Mikolaj] Warsaw Univ Life Sci, Inst Environm Engn, Dept Hydrol Meteorol & Water Management, Nowoursynowska 166, PL-02787 Warsaw, Poland; [Olyaei, Mohammad Ali] Univ Minnesota, Dept Civil Environm & Geoengn, Minneapolis, MN USA; [Kamyab, Taraneh] Univ North Carolina Charlotte, Dept Engn Technol & Construct Management, 9201 Univ City Blvd, Charlotte, NC 28223 USA; [Teymoori, Javad] Univ Tehran, Sch Civil Engn, 16th Azar, Tehran 1417466191, Iran; [Brocca, Luca] CNR, Res Inst Geohydrol Protect, Perugia, Italy
推荐引用方式 GB/T 7714	Eini, Mohammad Reza,Olyaei, Mohammad Ali,Kamyab, Taraneh,et al. Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran[J],2021,38.
APA	Eini, Mohammad Reza,Olyaei, Mohammad Ali,Kamyab, Taraneh,Teymoori, Javad,Brocca, Luca,&Piniewski, Mikolaj.(2021).Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,38.
MLA	Eini, Mohammad Reza,et al."Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 38(2021).