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Selection of gridded precipitation data for Iraq using compromise programming

Appropriate selection of gridded precipitation data is very important for the region where long-term precipitation observations are not available. An approach based on compromise programing (CP) is proposed to select the gridded precipitation data for Iraq, where precipitation gauges are very sparse...

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Main Authors: A. Salman, Saleem, Shahid, Shamsuddin, Ismail, Tarmizi, Al-Abadi, Alaa M., Wang, Xiao-jun, Chung, Eun-Sung
Format: Article
Published: Elsevier Ltd. 2019
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/87430/
http://dx.doi.org/10.1016/j.measurement.2018.09.047
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spelling my.utm.874302020-11-08T03:59:33Z http://eprints.utm.my/id/eprint/87430/ Selection of gridded precipitation data for Iraq using compromise programming A. Salman, Saleem Shahid, Shamsuddin Ismail, Tarmizi Al-Abadi, Alaa M. Wang, Xiao-jun Chung, Eun-Sung TA Engineering (General). Civil engineering (General) Appropriate selection of gridded precipitation data is very important for the region where long-term precipitation observations are not available. An approach based on compromise programing (CP) is proposed to select the gridded precipitation data for Iraq, where precipitation gauges are very sparse. The performance of seven widely used gauge-based, reanalysis and remote sensing-based gridded monthly precipitation data were assessed using observed precipitation records of 41 stations located within and surrounding Iraq. Obtained results showed the superiority of different datasets in term of different statistical metrics, namely percentage of bias, normalized root-mean-square error, Nash-Sutcliff efficiency, modified index of agreement, volumetric efficiency, and skill score. However, combining all the indices using CP, the gauge-based Global Precipitation Climatology Centre (GPCC) precipitation data was found best in term of replicating observed precipitation at 21 out of 41 stations. Validation of results using different approaches revealed that the GPCC precipitation was able to replicate annual and seasonal mean and variability and probability distribution of observed precipitation. The study concludes that CP can be used to select appropriate gridded precipitation data by avoiding confusion arise from contradictory results obtained using different statistical metrics. Elsevier Ltd. 2019-01 Article PeerReviewed A. Salman, Saleem and Shahid, Shamsuddin and Ismail, Tarmizi and Al-Abadi, Alaa M. and Wang, Xiao-jun and Chung, Eun-Sung (2019) Selection of gridded precipitation data for Iraq using compromise programming. Measurement: Journal of the International Measurement Confederation, 132 . pp. 87-98. ISSN 0263-2241 http://dx.doi.org/10.1016/j.measurement.2018.09.047 DOI:10.1016/j.measurement.2018.09.047
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
A. Salman, Saleem
Shahid, Shamsuddin
Ismail, Tarmizi
Al-Abadi, Alaa M.
Wang, Xiao-jun
Chung, Eun-Sung
Selection of gridded precipitation data for Iraq using compromise programming
description Appropriate selection of gridded precipitation data is very important for the region where long-term precipitation observations are not available. An approach based on compromise programing (CP) is proposed to select the gridded precipitation data for Iraq, where precipitation gauges are very sparse. The performance of seven widely used gauge-based, reanalysis and remote sensing-based gridded monthly precipitation data were assessed using observed precipitation records of 41 stations located within and surrounding Iraq. Obtained results showed the superiority of different datasets in term of different statistical metrics, namely percentage of bias, normalized root-mean-square error, Nash-Sutcliff efficiency, modified index of agreement, volumetric efficiency, and skill score. However, combining all the indices using CP, the gauge-based Global Precipitation Climatology Centre (GPCC) precipitation data was found best in term of replicating observed precipitation at 21 out of 41 stations. Validation of results using different approaches revealed that the GPCC precipitation was able to replicate annual and seasonal mean and variability and probability distribution of observed precipitation. The study concludes that CP can be used to select appropriate gridded precipitation data by avoiding confusion arise from contradictory results obtained using different statistical metrics.
format Article
author A. Salman, Saleem
Shahid, Shamsuddin
Ismail, Tarmizi
Al-Abadi, Alaa M.
Wang, Xiao-jun
Chung, Eun-Sung
author_facet A. Salman, Saleem
Shahid, Shamsuddin
Ismail, Tarmizi
Al-Abadi, Alaa M.
Wang, Xiao-jun
Chung, Eun-Sung
author_sort A. Salman, Saleem
title Selection of gridded precipitation data for Iraq using compromise programming
title_short Selection of gridded precipitation data for Iraq using compromise programming
title_full Selection of gridded precipitation data for Iraq using compromise programming
title_fullStr Selection of gridded precipitation data for Iraq using compromise programming
title_full_unstemmed Selection of gridded precipitation data for Iraq using compromise programming
title_sort selection of gridded precipitation data for iraq using compromise programming
publisher Elsevier Ltd.
publishDate 2019
url http://eprints.utm.my/id/eprint/87430/
http://dx.doi.org/10.1016/j.measurement.2018.09.047
_version_ 1683230766689943552
score 13.222552

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