Staff View: Performance of the WRF Model for Surface Wind Prediction around Qatar

Performance of the WRF Model for Surface Wind Prediction around Qatar

The performance of the Weather Research and Forecasting (WRF) Model is examined for the region around Qatar in the context of surface winds. The wind fields around this peninsula can be complicated owing to its small size, to a complex pattern of land and sea breezes influenced by the prevailing sha...

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Main Authors:	Sandeepan, B.S., Panchang, Vijay G., Nayak, Sashikant, Kumar, Kanikicharla Krishna, Kaihatu, James Michael
Format:	Article
Published:	American Meteorological Society 2018
Subjects:	Q Science (General) QH Natural history
Online Access:	http://eprints.um.edu.my/20781/ https://doi.org/10.1175/JTECH-D-17-0125.1
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id	my.um.eprints.20781
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spelling	my.um.eprints.207812019-03-22T02:11:37Z http://eprints.um.edu.my/20781/ Performance of the WRF Model for Surface Wind Prediction around Qatar Sandeepan, B.S. Panchang, Vijay G. Nayak, Sashikant Kumar, Kanikicharla Krishna Kaihatu, James Michael Q Science (General) QH Natural history The performance of the Weather Research and Forecasting (WRF) Model is examined for the region around Qatar in the context of surface winds. The wind fields around this peninsula can be complicated owing to its small size, to a complex pattern of land and sea breezes influenced by the prevailing shamal winds, and to its dry and arid nature. Modeled winds are verified with data from 19 land stations and two offshore buoys. A comparison with these data shows that nonlocal planetary boundary layer (PBL) schemes generally perform better than local schemes over land stations during the daytime, when convective conditions prevail; at nighttime, over land and over water, both schemes yield similar results. Among other parameters, modifications to standard USGS land-use descriptors were necessary to reduce model errors. The RMSE values are comparable to those reported elsewhere. Simulated winds, when used with a wave model, result in wave heights comparable to buoy measurements. Furthermore, WRF results, confirmed by data, show that at times sea breezes develop from both coasts, leading to convergence in the middle of the country; at other times, the large-scale wind impedes the formation of sea breezes on one or both coasts. Simulations also indicate greater land/sea-breeze activity in the summer than in the winter. Differences in the diurnal evolution of surface winds over land and water are found to be related to differences in the boundary layer stability. Overall, the results indicate that the WRF Model as configured here yields reliable simulations and can be used for various practical applications. American Meteorological Society 2018 Article PeerReviewed Sandeepan, B.S. and Panchang, Vijay G. and Nayak, Sashikant and Kumar, Kanikicharla Krishna and Kaihatu, James Michael (2018) Performance of the WRF Model for Surface Wind Prediction around Qatar. Journal of Atmospheric and Oceanic Technology, 35 (3). pp. 575-592. ISSN 0739-0572 https://doi.org/10.1175/JTECH-D-17-0125.1 doi:10.1175/JTECH-D-17-0125.1
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	Q Science (General) QH Natural history
spellingShingle	Q Science (General) QH Natural history Sandeepan, B.S. Panchang, Vijay G. Nayak, Sashikant Kumar, Kanikicharla Krishna Kaihatu, James Michael Performance of the WRF Model for Surface Wind Prediction around Qatar
description	The performance of the Weather Research and Forecasting (WRF) Model is examined for the region around Qatar in the context of surface winds. The wind fields around this peninsula can be complicated owing to its small size, to a complex pattern of land and sea breezes influenced by the prevailing shamal winds, and to its dry and arid nature. Modeled winds are verified with data from 19 land stations and two offshore buoys. A comparison with these data shows that nonlocal planetary boundary layer (PBL) schemes generally perform better than local schemes over land stations during the daytime, when convective conditions prevail; at nighttime, over land and over water, both schemes yield similar results. Among other parameters, modifications to standard USGS land-use descriptors were necessary to reduce model errors. The RMSE values are comparable to those reported elsewhere. Simulated winds, when used with a wave model, result in wave heights comparable to buoy measurements. Furthermore, WRF results, confirmed by data, show that at times sea breezes develop from both coasts, leading to convergence in the middle of the country; at other times, the large-scale wind impedes the formation of sea breezes on one or both coasts. Simulations also indicate greater land/sea-breeze activity in the summer than in the winter. Differences in the diurnal evolution of surface winds over land and water are found to be related to differences in the boundary layer stability. Overall, the results indicate that the WRF Model as configured here yields reliable simulations and can be used for various practical applications.
format	Article
author	Sandeepan, B.S. Panchang, Vijay G. Nayak, Sashikant Kumar, Kanikicharla Krishna Kaihatu, James Michael
author_facet	Sandeepan, B.S. Panchang, Vijay G. Nayak, Sashikant Kumar, Kanikicharla Krishna Kaihatu, James Michael
author_sort	Sandeepan, B.S.
title	Performance of the WRF Model for Surface Wind Prediction around Qatar
title_short	Performance of the WRF Model for Surface Wind Prediction around Qatar
title_full	Performance of the WRF Model for Surface Wind Prediction around Qatar
title_fullStr	Performance of the WRF Model for Surface Wind Prediction around Qatar
title_full_unstemmed	Performance of the WRF Model for Surface Wind Prediction around Qatar
title_sort	performance of the wrf model for surface wind prediction around qatar
publisher	American Meteorological Society
publishDate	2018
url	http://eprints.um.edu.my/20781/ https://doi.org/10.1175/JTECH-D-17-0125.1
_version_	1643691378209718272
score	13.211869

Performance of the WRF Model for Surface Wind Prediction around Qatar

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