气候变化领域集成服务门户(CCPortal): Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region

CCPortal

DOI	10.3390/w14020147
	Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region
	Anjum, Muhammad Naveed; Irfan, Muhammad; Waseem, Muhammad; Leta, Megersa Kebede; Niazi, Usama Muhammad; Ur Rahman, Saif; Ghanim, Abdulnoor; Mukhtar, Muhammad Ahsan; Nadeem, Muhammad Umer
通讯作者	Leta, MK (通讯作者)，Univ Rostock, Fac Agr & Environm Sci, D-18059 Rostock, Germany.
发表日期	2022
EISSN	2073-4441
卷号	14 期号:2
英文摘要	This study compares the performance of four satellite-based rainfall products (SRPs) (PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0) in a semi-arid subtropical region. As a case study, Punjab Province of Pakistan was considered for this assessment. Using observations from in-situ meteorological stations, the uncertainty in daily, monthly, seasonal, and annual rainfall estimates of SRPs at pixel and regional scales during 2010-2018 were examined. Several evaluation indices (Correlation Coefficient (CC), Root Mean Square Error (RMSE), Bias, and relative Bias (rBias), as well as categorical indices (Probability of Detection (POD), Critical Success Index (CSI), and False Alarm Ration (FAR)) were used to assess the performance of the SRPs. The following findings were found: (1) CHIRPS-2.0 and SM2RAIN-ASCAT products were capable of tracking the spatiotemporal variability of observed rainfall, (2) all SRPs had higher overall performances in the northwestern parts of the province than the other parts, (3) all SRP estimates were in better agreement with ground-based monthly observations than daily records, and (4) on the seasonal scale, CHIRPS-2.0 and SM2RAIN-ASCAT were better than PERSIANN-CCS and PERSIANN. In all seasons, CHIRPS-2.0 and SM2RAIN-ASCAT outperformed PERSIANN-CCS and PERSIANN-CDR. Based on our findings, we recommend that hydrometeorological investigations in Pakistan's Punjab Province employ monthly estimates of CHIRPS-2.0 and SM2RAIN-ASCAT products.
关键词	SATELLITE-BASED PRECIPITATION VARIABILITY DATASETS IMERG
英文关键词	satellite rainfall; performance evaluation; CHIRPS-2; 0; SM2Rain-ASCAT; PERSIANN-CDR; PERSIANN-CCS
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
WOS类目	Environmental Sciences ; Water Resources
WOS记录号	WOS:000758423300001
来源期刊	WATER
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254815
作者单位	[Anjum, Muhammad Naveed; Nadeem, Muhammad Umer] PMAS Arid Agr Univ, Fac Agr Engn & Technol, Dept Land & Water Conservat Engn, Rawalpindi 46000, Pakistan; [Anjum, Muhammad Naveed] PMAS Arid Agr Univ, Data Driven Smart Decis Platform, Rawalpindi 46000, Pakistan; [Irfan, Muhammad; Ur Rahman, Saif] Najran Univ Saudi Arabia, Dept Elect Engn, Coll Engn, Najran 61441, Saudi Arabia; [Waseem, Muhammad] Ghulam Ishaq Khan Inst Engn & Technol, Dept Civil Engn, Topi 23460, Pakistan; [Leta, Megersa Kebede] Univ Rostock, Fac Agr & Environm Sci, D-18059 Rostock, Germany; [Niazi, Usama Muhammad] Natl Skills Univ, Dept Mech Engn Technol, Islamabad 44000, Pakistan; [Ghanim, Abdulnoor] Najran Univ Saudi Arabia, Dept Civil Engn, Coll Engn, Najran 61441, Saudi Arabia; [Mukhtar, Muhammad Ahsan] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Anjum, Muhammad Naveed,Irfan, Muhammad,Waseem, Muhammad,et al. Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region[J]. 中国科学院西北生态环境资源研究院,2022,14(2).
APA	Anjum, Muhammad Naveed.,Irfan, Muhammad.,Waseem, Muhammad.,Leta, Megersa Kebede.,Niazi, Usama Muhammad.,...&Nadeem, Muhammad Umer.(2022).Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region.WATER,14(2).
MLA	Anjum, Muhammad Naveed,et al."Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region".WATER 14.2(2022).