Evaluation of the TRMM 3B42 product for extreme precipitation analysis over southwestern Iran

Mohammad Sadegh Keikhosravi Kiany; Seyed Abolfazl Masoodian; Robert C. Balling; Majid Montazeri

doi:10.1016/j.asr.2020.07.036

Evaluation of the TRMM 3B42 product for extreme precipitation analysis over southwestern Iran

Mohammad Sadegh Keikhosravi Kiany, Seyed Abolfazl Masoodian, Robert C. Balling, Majid Montazeri

Geographical Sciences and Urban Planning, School of (SGSUP)

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

The goal of this study is to examine the capability of the TRMM 3B42 product to detect spatial and temporal patterns in extreme precipitation events over southwestern Iran during the period of 1998–2016. A ground-based gridded precipitation dataset was created using a dense network of surface observations for the evaluation process. Various extreme precipitation indices in the three categories of fixed threshold indices, grid-related threshold indices, and non-threshold indices were examined and compared with the ground-based gridded precipitation dataset. The findings suggest that the TRMM 3B42 product is able to capture the spatial and temporal behavior of many extreme indices especially for fixed and non-threshold indices. In terms of the spatial error metrics, the satellite product has better performance over mid-elevated areas in the south and southeastern parts of the study region.

Original language	English (US)
Pages (from-to)	2094-2112
Number of pages	19
Journal	Advances in Space Research
Volume	66
Issue number	9
DOIs	https://doi.org/10.1016/j.asr.2020.07.036
State	Published - Nov 1 2020

Keywords

Extreme precipitation
Southwestern Iran
TRMM 3B42

ASJC Scopus subject areas

Aerospace Engineering
Astronomy and Astrophysics
Geophysics
Atmospheric Science
Space and Planetary Science
General Earth and Planetary Sciences

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10.1016/j.asr.2020.07.036

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title = "Evaluation of the TRMM 3B42 product for extreme precipitation analysis over southwestern Iran",

abstract = "The goal of this study is to examine the capability of the TRMM 3B42 product to detect spatial and temporal patterns in extreme precipitation events over southwestern Iran during the period of 1998–2016. A ground-based gridded precipitation dataset was created using a dense network of surface observations for the evaluation process. Various extreme precipitation indices in the three categories of fixed threshold indices, grid-related threshold indices, and non-threshold indices were examined and compared with the ground-based gridded precipitation dataset. The findings suggest that the TRMM 3B42 product is able to capture the spatial and temporal behavior of many extreme indices especially for fixed and non-threshold indices. In terms of the spatial error metrics, the satellite product has better performance over mid-elevated areas in the south and southeastern parts of the study region.",

keywords = "Extreme precipitation, Southwestern Iran, TRMM 3B42",

author = "{Keikhosravi Kiany}, {Mohammad Sadegh} and Masoodian, {Seyed Abolfazl} and Balling, {Robert C.} and Majid Montazeri",

note = "Funding Information: The first author is funded by the University of Isfahan as a postdoctoral fellowship which is highly appreciated. The authors are grateful to IRIMO for providing rain gauge data and to the NASA for free access to TMPA data. Funding Information: The first author is funded by the University of Isfahan as a postdoctoral fellowship which is highly appreciated. The authors are grateful to IRIMO for providing rain gauge data and to the NASA for free access to TMPA data. Publisher Copyright: {\textcopyright} 2020 COSPAR",

year = "2020",

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doi = "10.1016/j.asr.2020.07.036",

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AU - Keikhosravi Kiany, Mohammad Sadegh

AU - Masoodian, Seyed Abolfazl

AU - Balling, Robert C.

AU - Montazeri, Majid

N1 - Funding Information: The first author is funded by the University of Isfahan as a postdoctoral fellowship which is highly appreciated. The authors are grateful to IRIMO for providing rain gauge data and to the NASA for free access to TMPA data. Funding Information: The first author is funded by the University of Isfahan as a postdoctoral fellowship which is highly appreciated. The authors are grateful to IRIMO for providing rain gauge data and to the NASA for free access to TMPA data. Publisher Copyright: © 2020 COSPAR

PY - 2020/11/1

Y1 - 2020/11/1

N2 - The goal of this study is to examine the capability of the TRMM 3B42 product to detect spatial and temporal patterns in extreme precipitation events over southwestern Iran during the period of 1998–2016. A ground-based gridded precipitation dataset was created using a dense network of surface observations for the evaluation process. Various extreme precipitation indices in the three categories of fixed threshold indices, grid-related threshold indices, and non-threshold indices were examined and compared with the ground-based gridded precipitation dataset. The findings suggest that the TRMM 3B42 product is able to capture the spatial and temporal behavior of many extreme indices especially for fixed and non-threshold indices. In terms of the spatial error metrics, the satellite product has better performance over mid-elevated areas in the south and southeastern parts of the study region.

AB - The goal of this study is to examine the capability of the TRMM 3B42 product to detect spatial and temporal patterns in extreme precipitation events over southwestern Iran during the period of 1998–2016. A ground-based gridded precipitation dataset was created using a dense network of surface observations for the evaluation process. Various extreme precipitation indices in the three categories of fixed threshold indices, grid-related threshold indices, and non-threshold indices were examined and compared with the ground-based gridded precipitation dataset. The findings suggest that the TRMM 3B42 product is able to capture the spatial and temporal behavior of many extreme indices especially for fixed and non-threshold indices. In terms of the spatial error metrics, the satellite product has better performance over mid-elevated areas in the south and southeastern parts of the study region.

KW - Extreme precipitation

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Evaluation of the TRMM 3B42 product for extreme precipitation analysis over southwestern Iran

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Keywords

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