Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region

Water

Abdulnoor Ghanim¹  Muhammad Waseem²  Muhammad Naveed Anjum³  Muhammad Umer Nadeem³  Usama Muhammad Niazi⁴  Muhammad Irfan⁵  Saif ur Rahman⁵  Megersa Kebede Leta⁶  Muhammad Ahsan Mukhtar⁷ 

[1] Department of Civil Engineering, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia;Department of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering and Technology, Topi 23460, Pakistan;Department of Land and Water Conservation Engineering, Faculty of Agricultural Engineering and Technology, PMAS-Arid Agriculture University, Rawalpindi 46000, Pakistan;Department of Mechanical Engineering Technology, National Skills University, Islamabad 44000, Pakistan;Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia;Faculty of Agriculture and Environmental Sciences, University of Rostock, 18059 Rostock, Germany;Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;

关键词: satellite rainfall;    performance evaluation;    CHIRPS-2.0;    SM2Rain-ASCAT;    PERSIANN-CDR;    PERSIANN-CCS;   

DOI  :  10.3390/w14020147

来源: DOAJ

【 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.

【 授权许可】

Unknown