干旱区生态环境知识资源中心(Arid): Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan

Arid

DOI	10.3390/w11020210
	Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan
	Ahmed, Kamal 1,2; Shahid, Shamsuddin 1; Wang, Xiaojun 3,4; Nawaz, Nadeem 2; Khan, Najeebullah 1
通讯作者	Wang, Xiaojun
来源期刊	WATER
ISSN	2073-4441
出版年	2019
卷号	11 期号:2
英文摘要	The rough topography, harsh climate, and sparse monitoring stations have limited hydro-climatological studies in arid regions of Pakistan. Gauge-based gridded precipitation datasets provide an opportunity to assess the climate where stations are sparsely located. Though, the reliability of these datasets heavily depends on their ability to replicate the observed temporal variability and distribution patterns. Conventional correlation or error analyses are often not enough to justify the variability and distribution of precipitation. In the present study, mean bias error, mean absolute error, modified index of agreement, and Anderson-Darling test have been used to evaluate the performance of four widely used gauge-based gridded precipitation data products, namely, Global Precipitation Climatology Centre (GPCC), Climatic Research Unit (CRU); Asian Precipitation Highly Resolved Observational Data Integration towards Evaluation (APHRODITE), Center for Climatic ResearchUniversity of Delaware (UDel) at stations located in semi-arid, arid, and hyper-arid regions in the Balochistan province of Pakistan. The result revealed that the performance of different products varies with climate. However, GPCC precipitation data was found to perform much better in all climatic regions in terms of most of the statistical assessments conducted. As the temporal variability and distribution of precipitation are very important in many hydrological and climatic applications, it can be expected that the methods used in this study can be useful for the better assessment of gauge-based data for various applications.
英文关键词	gridded precipitation data statistical assessments arid region Pakistan
类型	Article
语种	英语
国家	Malaysia ; Pakistan ; Peoples R China
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000460899600029
WOS关键词	DATA SETS ; BALOCHISTAN PROVINCE ; TREND ANALYSIS ; DENSE NETWORK ; TIME-SERIES ; RAINFALL ; RESOLUTION ; CLIMATE ; PRODUCTS ; REANALYSIS
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219173
作者单位	1.UTM, Fac Engn, Sch Civil Engn, Johor Baharu 81310, Malaysia; 2.Lasbela Univ Agr Water & Marine Sci, Fac ofWater Resource Management, Balochistan 90150, Pakistan; 3.Nanjing Hydraul Res Inst, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 2100292, Jiangsu, Peoples R China; 4.Minist Water Resources, Res Ctr Climate Change, Nanjing 210029, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Ahmed, Kamal,Shahid, Shamsuddin,Wang, Xiaojun,et al. Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan[J],2019,11(2).
APA	Ahmed, Kamal,Shahid, Shamsuddin,Wang, Xiaojun,Nawaz, Nadeem,&Khan, Najeebullah.(2019).Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan.WATER,11(2).
MLA	Ahmed, Kamal,et al."Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan".WATER 11.2(2019).