Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB

The Weather Research and Forecasting (WRF) model was tested through 18 different combinations of physics parameters to simulate the regional climate over the Mackenzie River Basin (MRB). The objective was to investigate the response to the physics parameters for dynamic downscaling of climatic varia...

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Autores principales:	Lia Pervin, Thian Yew Gan
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	dynamic downscaling physical parameters regional climate sensitivity wrf model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e69cc200cbcd4bc8aaffa5597ea2d8c2
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spelling	oai:doaj.org-article:e69cc200cbcd4bc8aaffa5597ea2d8c22021-11-05T18:52:07ZSensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB2040-22442408-935410.2166/wcc.2020.036https://doaj.org/article/e69cc200cbcd4bc8aaffa5597ea2d8c22021-06-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/4/1043https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The Weather Research and Forecasting (WRF) model was tested through 18 different combinations of physics parameters to simulate the regional climate over the Mackenzie River Basin (MRB). The objective was to investigate the response to the physics parameters for dynamic downscaling of climatic variables. The rainfall, temperature, albedo, and surface pressure from the 18 different WRF setups were compared with the reference data and were found sensitive to land surface physics and microphysics and to the radiation physics. The combination of Noah Land Surface Physics with the WRF Single-moment 6-class microphysics and CAM shortwave and longwave schemes produced comparable results for summer 2009. This WRF setup was further tested for summers 1979–1991 and it was found that WRF could simulate air temperature more accurately than the rainfall, since the rainfall over the mountainous regions was over-simulated. Then the selected combinations of WRF parameterizations were used to downscale the CanESM2 historical temperature and rainfall for summers 1979–2005, which showed good agreement with the reference data. The suggested WRF parameters from this study could be utilized for regional climate modeling of MRB. HIGHLIGHTS This study enhances the overall understanding of the hydrology and climatic pattern of a large river basin like the MRB (1.8 million square km).; The sensitivity test with various physics parameters gives an idea of the model behavior under different physics combinations.; Using the fine-tuned WRF setup short-term and long-term climate data (temperature, rainfall, albedo and surface pressure) were simulated.; The combinations of WRF parameterizations from this study could be used for comprehensive climate modeling of this region.;Lia PervinThian Yew GanIWA Publishingarticledynamic downscalingphysical parametersregional climate sensitivitywrf modelEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 4, Pp 1043-1058 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dynamic downscaling physical parameters regional climate sensitivity wrf model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	dynamic downscaling physical parameters regional climate sensitivity wrf model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Lia Pervin Thian Yew Gan Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
description	The Weather Research and Forecasting (WRF) model was tested through 18 different combinations of physics parameters to simulate the regional climate over the Mackenzie River Basin (MRB). The objective was to investigate the response to the physics parameters for dynamic downscaling of climatic variables. The rainfall, temperature, albedo, and surface pressure from the 18 different WRF setups were compared with the reference data and were found sensitive to land surface physics and microphysics and to the radiation physics. The combination of Noah Land Surface Physics with the WRF Single-moment 6-class microphysics and CAM shortwave and longwave schemes produced comparable results for summer 2009. This WRF setup was further tested for summers 1979–1991 and it was found that WRF could simulate air temperature more accurately than the rainfall, since the rainfall over the mountainous regions was over-simulated. Then the selected combinations of WRF parameterizations were used to downscale the CanESM2 historical temperature and rainfall for summers 1979–2005, which showed good agreement with the reference data. The suggested WRF parameters from this study could be utilized for regional climate modeling of MRB. HIGHLIGHTS This study enhances the overall understanding of the hydrology and climatic pattern of a large river basin like the MRB (1.8 million square km).; The sensitivity test with various physics parameters gives an idea of the model behavior under different physics combinations.; Using the fine-tuned WRF setup short-term and long-term climate data (temperature, rainfall, albedo and surface pressure) were simulated.; The combinations of WRF parameterizations from this study could be used for comprehensive climate modeling of this region.;
format	article
author	Lia Pervin Thian Yew Gan
author_facet	Lia Pervin Thian Yew Gan
author_sort	Lia Pervin
title	Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
title_short	Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
title_full	Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
title_fullStr	Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
title_full_unstemmed	Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB
title_sort	sensitivity of physical parameterization schemes in wrf model for dynamic downscaling of climatic variables over the mrb
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/e69cc200cbcd4bc8aaffa5597ea2d8c2
work_keys_str_mv	AT liapervin sensitivityofphysicalparameterizationschemesinwrfmodelfordynamicdownscalingofclimaticvariablesoverthemrb AT thianyewgan sensitivityofphysicalparameterizationschemesinwrfmodelfordynamicdownscalingofclimaticvariablesoverthemrb
_version_	1718444136754839552

Sensitivity of physical parameterization schemes in WRF model for dynamic downscaling of climatic variables over the MRB

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