TY - JOUR
T1 - Reliability of satellite-based precipitation products in capturing extreme precipitation indices over Iran
AU - Keikhosravi-Kiany, Mohammad Sadegh
AU - Masoodian, Seyed Abolfazl
AU - Balling, Robert C.
N1 - Funding Information:
The first author deeply appreciates the financial support provided via Iran National Science Foundation (INSF no. 98025046) and Iran's National Elites Foundation. The authors also acknowledge IRIMO and NASA for providing access to their gauge-based and satellite-based rainfall measurements used throughout this investigation.
Funding Information:
The first author deeply appreciates the financial support provided via Iran National Science Foundation (INSF no. 98025046) and Iran's National Elites Foundation. The authors also acknowledge IRIMO and NASA for providing access to their gauge-based and satellite-based rainfall measurements used throughout this investigation.
Publisher Copyright:
© 2022 COSPAR
PY - 2023/2/1
Y1 - 2023/2/1
N2 - The goal of this study is to assess the performance of four widely-used satellite precipitation products in capturing extreme precipitation indices across Iran over the period 2001–2018; these products include GPM IMERG (Integrated Multi-Satellite Retrievals for Global Precipitation Measurement), TRMM 3B42 (Tropical Rainfall Measuring Mission), CHIRPS (Climate Hazards Center InfraRed Precipitation with Station data), and PERSIANN-CDR (Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record). For this aim, a national gridded precipitation dataset was developed using a dense network of rain gauges as a reference dataset. The results suggest that the IMERG product outperforms the other three precipitation products in capturing extreme precipitation indices both temporally and spatially. TRMM 3B42 data show promising results in identifying many extreme indices, while the CHIRPS and PERSIANN-CDR products show less performance in accurately generating many of the extreme precipitation indices.
AB - The goal of this study is to assess the performance of four widely-used satellite precipitation products in capturing extreme precipitation indices across Iran over the period 2001–2018; these products include GPM IMERG (Integrated Multi-Satellite Retrievals for Global Precipitation Measurement), TRMM 3B42 (Tropical Rainfall Measuring Mission), CHIRPS (Climate Hazards Center InfraRed Precipitation with Station data), and PERSIANN-CDR (Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record). For this aim, a national gridded precipitation dataset was developed using a dense network of rain gauges as a reference dataset. The results suggest that the IMERG product outperforms the other three precipitation products in capturing extreme precipitation indices both temporally and spatially. TRMM 3B42 data show promising results in identifying many extreme indices, while the CHIRPS and PERSIANN-CDR products show less performance in accurately generating many of the extreme precipitation indices.
KW - Extreme precipitation indices
KW - Iran
KW - Satellite precipitation products
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U2 - 10.1016/j.asr.2022.10.003
DO - 10.1016/j.asr.2022.10.003
M3 - Article
AN - SCOPUS:85146267108
SN - 0273-1177
VL - 71
SP - 1451
EP - 1472
JO - Advances in Space Research
JF - Advances in Space Research
IS - 3
ER -