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Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin

Incomplete hydro-meteorological data and insufficient rainfall gauges have caused difficulties in establishing a reliable flood forecasting system. This study attempted to adopt the remotely sensed hydro-meteorological data as an alternative to the incomplete observed rainfall data in the poorly gau...

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Main Authors: Syeda Maria, Zaidi, Gisen, Jacqueline Isabella Anak, Eltahan, Mohamed, Yu, Qian, Syarifuddin, Misbari, Ngien, Su Kong
Format: Article
Language:English
Published: MDPI 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/37419/1/Assessment%20of%20weather%20research%20and%20forecasting%20%28WRF%29%20physical%20schemes%20parameterization%20to%20predict%20moderate.pdf
http://umpir.ump.edu.my/id/eprint/37419/
https://doi.org/10.3390/su141912624
https://doi.org/10.3390/su141912624
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spelling my.ump.umpir.374192023-08-16T07:41:09Z http://umpir.ump.edu.my/id/eprint/37419/ Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin Syeda Maria, Zaidi Gisen, Jacqueline Isabella Anak Eltahan, Mohamed Yu, Qian Syarifuddin, Misbari Ngien, Su Kong T Technology (General) TA Engineering (General). Civil engineering (General) Incomplete hydro-meteorological data and insufficient rainfall gauges have caused difficulties in establishing a reliable flood forecasting system. This study attempted to adopt the remotely sensed hydro-meteorological data as an alternative to the incomplete observed rainfall data in the poorly gauged Kuantan River Basin (KRB), the main city at the east coast of Peninsula Malaysia. Performance of Weather Research and Forecasting (WRF) schemes’ combinations, including eight microphysics (MP) and six cumulus, were evaluated to determine the most suitable combination of WRF MPCU in simulating rainfall over KRB. All the obtained results were validated against observed moderate to extreme rainfall events. Among all, the combination scheme Stony Brook University and Betts–Miller–Janjic (SBUBMJ) was found to be the most suitable to capture both spatial and temporal rainfall, with average percentage error of about ±17.5% to ±25.2% for heavy and moderate rainfall. However, the estimated PE ranges of −58.1% to 68.2% resulted in uncertainty while simulating extreme rainfall events, requiring more simulation tests for the schemes’ combinations using different boundary layer conditions and domain configurations. Findings also indicate that for the region where hydro-meteorological data are limited, WRF, as an alternative approach, can be used to achieve more sustainable water resource management and reliable hydrological forecasting. MDPI 2022-10 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/37419/1/Assessment%20of%20weather%20research%20and%20forecasting%20%28WRF%29%20physical%20schemes%20parameterization%20to%20predict%20moderate.pdf Syeda Maria, Zaidi and Gisen, Jacqueline Isabella Anak and Eltahan, Mohamed and Yu, Qian and Syarifuddin, Misbari and Ngien, Su Kong (2022) Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin. Sustainability (Switzerland), 14 (12624). pp. 1-41. ISSN 2071-1050. (Published) https://doi.org/10.3390/su141912624 https://doi.org/10.3390/su141912624
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 T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Syeda Maria, Zaidi
Gisen, Jacqueline Isabella Anak
Eltahan, Mohamed
Yu, Qian
Syarifuddin, Misbari
Ngien, Su Kong
Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
description Incomplete hydro-meteorological data and insufficient rainfall gauges have caused difficulties in establishing a reliable flood forecasting system. This study attempted to adopt the remotely sensed hydro-meteorological data as an alternative to the incomplete observed rainfall data in the poorly gauged Kuantan River Basin (KRB), the main city at the east coast of Peninsula Malaysia. Performance of Weather Research and Forecasting (WRF) schemes’ combinations, including eight microphysics (MP) and six cumulus, were evaluated to determine the most suitable combination of WRF MPCU in simulating rainfall over KRB. All the obtained results were validated against observed moderate to extreme rainfall events. Among all, the combination scheme Stony Brook University and Betts–Miller–Janjic (SBUBMJ) was found to be the most suitable to capture both spatial and temporal rainfall, with average percentage error of about ±17.5% to ±25.2% for heavy and moderate rainfall. However, the estimated PE ranges of −58.1% to 68.2% resulted in uncertainty while simulating extreme rainfall events, requiring more simulation tests for the schemes’ combinations using different boundary layer conditions and domain configurations. Findings also indicate that for the region where hydro-meteorological data are limited, WRF, as an alternative approach, can be used to achieve more sustainable water resource management and reliable hydrological forecasting.
format Article
author Syeda Maria, Zaidi
Gisen, Jacqueline Isabella Anak
Eltahan, Mohamed
Yu, Qian
Syarifuddin, Misbari
Ngien, Su Kong
author_facet Syeda Maria, Zaidi
Gisen, Jacqueline Isabella Anak
Eltahan, Mohamed
Yu, Qian
Syarifuddin, Misbari
Ngien, Su Kong
author_sort Syeda Maria, Zaidi
title Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
title_short Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
title_full Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
title_fullStr Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
title_full_unstemmed Assessment of weather research and forecasting (WRF) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
title_sort assessment of weather research and forecasting (wrf) physical schemes parameterization to predict moderate to extreme rainfall in poorly gauged basin
publisher MDPI
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37419/1/Assessment%20of%20weather%20research%20and%20forecasting%20%28WRF%29%20physical%20schemes%20parameterization%20to%20predict%20moderate.pdf
http://umpir.ump.edu.my/id/eprint/37419/
https://doi.org/10.3390/su141912624
https://doi.org/10.3390/su141912624
_version_ 1775622236496986112
score 13.211869

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