干旱区生态环境知识资源中心(Arid): Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management

Arid

DOI	10.3390/rs12182984
	Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management
	AL-Falahi, Ali Hamoud; Saddique, Naeem; Spank, Uwe; Gebrechorkos, Solomon H.; Bernhofer, Christian
通讯作者	AL-Falahi, AH
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:18
英文摘要	Management of water resources under climate change is one of the most challenging tasks in many arid and semiarid regions. A major challenge in countries, such as Yemen, is the lack of sufficient and long-term climate data required to drive hydrological models for better management of water resources. In this study, we evaluated the accuracy of accessible satellite and reanalysis-based precipitation products against observed data from Al Mahwit governorate (highland region, Yemen) during 1998-2007. Here, we evaluated the accuracy of the Climate Hazards Group Infrared Precipitation with Station (CHIRPS) data, National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR), Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), Tropical Rainfall Measuring Mission (TRMM 3B42), Unified Gauge-Based Analysis of Global Daily Precipitation (CPC), and European Atmospheric Reanalysis (ERA-5). The evaluation was performed on daily, monthly, and annual time steps by directly comparing the data from each single station with the data from the nearest grid box for each product. At a daily timescale, CHIRPS captures the daily rainfall characteristics best, such as the number of wet days, with average deviation from wet durations around 11.53%. TRMM 3B42 is the second-best performing product for a daily estimate with an average deviation of around 34.7%. However, CFSR (85.3%) and PERSIANN-CDR (103%) and ERA-5 (-81.13%) show an overestimation and underestimation of wet days and do not reflect rainfall variability of the study area. Moreover, CHIRPS is the most accurate gridded product on a monthly basis with high correlation and lower bias. The average monthly correlation between the observed and CHIRPS, TRMM 3B42, PERSIANN-CDR, CPC, ERA-5, and CFSR is 0.78, 0.56, 0.53, 0.15, 0.20, and 0.51, respectively. The average monthly bias is -2.9, -5.25, 7.35, -25.29, -24.96, and 16.68 mm for CHIRPS, TRMM 3B42, PERSIANN-CDR, CPC, ERA-5, and CFSR, respectively. CHIRPS displays the spatial distribution of annual rainfall pattern well with percent bias (Pbias) of around -8.68% at the five validation points, whereas TRMM 3B42, PERSIANN-CDR, and CFSR show a deviation of greater than 15.30, 22.90, and 66.21%, respectively. CPC and ERA-5 show Pbias of about -88.6% from observed data. Overall, in absence of better data, CHIRPS data can be used for hydrological and climate change studies on the highland region of Yemen where precipitation is often episodical and measurement records are spatially and temporally limited.
英文关键词	rainfall estimates precipitation gridded products climate change highland region Yemen
类型	Article
语种	英语
开放获取类型	Green Accepted, gold
收录类别	SCI-E
WOS记录号	WOS:000581192000001
WOS关键词	SATELLITE RAINFALL DATA ; GLOBAL PRECIPITATION ; CLIMATE-CHANGE ; REANALYSIS PRODUCTS ; SAUDI-ARABIA ; GAUGE ; BASIN ; ADAPTATION ; CATCHMENT ; SWAT
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327036
作者单位	[AL-Falahi, Ali Hamoud; Saddique, Naeem; Spank, Uwe; Bernhofer, Christian] Tech Univ Dresden, Inst Hydrol & Meteorol, Pienner Str 23, D-01737 Tharandt, Germany; [Gebrechorkos, Solomon H.] Univ Southampton, Sch Geog & Environm Sci, Southampton SO17 1BJ, Hants, England
推荐引用方式 GB/T 7714	AL-Falahi, Ali Hamoud,Saddique, Naeem,Spank, Uwe,et al. Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management[J],2020,12(18).
APA	AL-Falahi, Ali Hamoud,Saddique, Naeem,Spank, Uwe,Gebrechorkos, Solomon H.,&Bernhofer, Christian.(2020).Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management.REMOTE SENSING,12(18).
MLA	AL-Falahi, Ali Hamoud,et al."Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management".REMOTE SENSING 12.18(2020).