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Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate

This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained from 19 synoptic rain gauges during the period 1998–2010 over the semiarid climate of Khorasan Razavi, Iran. Validation was performed using three spatial extents, including 1 TRMM grid face from the s...

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Main Authors: Akbari, Abolghasem, Daryabor, Farshid, Azizan, Abu Samah, Fanodi, Mohsen
Format: Article
Language:English
Published: Springer-Verlag Berlin Heidelberg 2017
Subjects:
G Geography (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/29609/1/Validation%20of%20TRMM%203B42%20V6%20for%20estimation%20of%20mean%20.pdf
http://umpir.ump.edu.my/id/eprint/29609/
https://doi.org/10.1007/s12665-017-6867-3
https://doi.org/10.1007/s12665-017-6867-3
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spelling my.ump.umpir.296092020-11-20T01:33:46Z http://umpir.ump.edu.my/id/eprint/29609/ Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate Akbari, Abolghasem Daryabor, Farshid Azizan, Abu Samah Fanodi, Mohsen G Geography (General) TA Engineering (General). Civil engineering (General) This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained from 19 synoptic rain gauges during the period 1998–2010 over the semiarid climate of Khorasan Razavi, Iran. Validation was performed using three spatial extents, including 1 TRMM grid face from the synoptic station (1PTRM), 3 TRMM points surrounding the synoptic station (3PTRM) and 5 TRMM points surrounding the synoptic station (5PTRM), using ArcGIS 10.2 software. The perfect and poor r were obtained at stations S08 and S19, with values of 0.92 and 0.26, respectively. According to the Nash–Sutcliffe efficiency coefficient, the TRMM satellite can predict the spatial variation of the mean annual rainfall by 0.23, 0.43 and 0.38 for 1PTRM, 3PTRM and 5PTRM, respectively, at 19 stations. The agreement significantly increases by 0.88, 0.83 and 0.80 for 1PTRM, 3PTRM and 5PTRM, respectively, when gauges S05, S07, S11 and S13 are excluded from the dataset, which may be associated with orographic or instrumental error at the stations. Springer-Verlag Berlin Heidelberg 2017-08-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29609/1/Validation%20of%20TRMM%203B42%20V6%20for%20estimation%20of%20mean%20.pdf Akbari, Abolghasem and Daryabor, Farshid and Azizan, Abu Samah and Fanodi, Mohsen (2017) Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate. Environmental Earth Sciences, 76 (15). pp. 1-2. ISSN 1866-6299 https://doi.org/10.1007/s12665-017-6867-3 https://doi.org/10.1007/s12665-017-6867-3
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic G Geography (General)
TA Engineering (General). Civil engineering (General)
spellingShingle G Geography (General)
TA Engineering (General). Civil engineering (General)
Akbari, Abolghasem
Daryabor, Farshid
Azizan, Abu Samah
Fanodi, Mohsen
Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
description This research compares data from the Tropical Rainfall Measuring Mission 3B42 V6 with data obtained from 19 synoptic rain gauges during the period 1998–2010 over the semiarid climate of Khorasan Razavi, Iran. Validation was performed using three spatial extents, including 1 TRMM grid face from the synoptic station (1PTRM), 3 TRMM points surrounding the synoptic station (3PTRM) and 5 TRMM points surrounding the synoptic station (5PTRM), using ArcGIS 10.2 software. The perfect and poor r were obtained at stations S08 and S19, with values of 0.92 and 0.26, respectively. According to the Nash–Sutcliffe efficiency coefficient, the TRMM satellite can predict the spatial variation of the mean annual rainfall by 0.23, 0.43 and 0.38 for 1PTRM, 3PTRM and 5PTRM, respectively, at 19 stations. The agreement significantly increases by 0.88, 0.83 and 0.80 for 1PTRM, 3PTRM and 5PTRM, respectively, when gauges S05, S07, S11 and S13 are excluded from the dataset, which may be associated with orographic or instrumental error at the stations.
format Article
author Akbari, Abolghasem
Daryabor, Farshid
Azizan, Abu Samah
Fanodi, Mohsen
author_facet Akbari, Abolghasem
Daryabor, Farshid
Azizan, Abu Samah
Fanodi, Mohsen
author_sort Akbari, Abolghasem
title Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
title_short Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
title_full Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
title_fullStr Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
title_full_unstemmed Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate
title_sort validation of trmm 3b42 v6 for estimation of mean annual rainfall over ungauged area in semiarid climate
publisher Springer-Verlag Berlin Heidelberg
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/29609/1/Validation%20of%20TRMM%203B42%20V6%20for%20estimation%20of%20mean%20.pdf
http://umpir.ump.edu.my/id/eprint/29609/
https://doi.org/10.1007/s12665-017-6867-3
https://doi.org/10.1007/s12665-017-6867-3
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score 13.211869

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