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

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 meteoro...

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Published inWater (Basel) Vol. 14; no. 2; p. 147
Main Authors Anjum, Muhammad Naveed, Irfan, Muhammad, Waseem, Muhammad, Leta, Megersa Kebede, Niazi, Usama Muhammad, ur Rahman, Saif, Ghanim, Abdulnoor, Mukhtar, Muhammad Ahsan, Nadeem, Muhammad Umer
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2022
Subjects
Accuracy
Algorithms
Case studies
Climate
Datasets
Estimates
Gauges
Hydrology
hydrometeorology
Information retrieval
Pakistan
Precipitation
Precipitation variability
Rain
Rain and rainfall
Rainfall measurement
Satellites
Sensors
subtropics
uncertainty
water
Weather
Saudi Arabia
Pakistan
Iran
China
Punjab Pakistan
Taiwan
Online AccessGet full text
ISSN2073-4441
2073-4441
DOI10.3390/w14020147

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Abstract 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.
AbstractList 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.
Audience Academic
Author ur Rahman, Saif
Irfan, Muhammad
Ghanim, Abdulnoor
Leta, Megersa Kebede
Niazi, Usama Muhammad
Mukhtar, Muhammad Ahsan
Anjum, Muhammad Naveed
Waseem, Muhammad
Nadeem, Muhammad Umer
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Snippet 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...
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StartPage 147
SubjectTerms Accuracy
Algorithms
Case studies
Climate
Datasets
Estimates
Gauges
Hydrology
hydrometeorology
Information retrieval
Pakistan
Precipitation
Precipitation variability
Rain
Rain and rainfall
Rainfall measurement
Satellites
Sensors
subtropics
uncertainty
water
Weather
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Title Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region
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