Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin

As one of the most dominant weather forecasting tools,numerical models have been widely employed for early warning and prediction of strong weather processes such as extreme rainfalls.In practical forecasting operations,numerical models are affected by initial fields,boundary conditions,and paramete...

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Main Authors: LIN Sinuo, ZHANG Yinchi, SUN Shao, GUAN Xiaojun, JIANG Caiying, GAO Lu
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2023-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.10.004
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author LIN Sinuo
ZHANG Yinchi
SUN Shao
GUAN Xiaojun
JIANG Caiying
GAO Lu
author_facet LIN Sinuo
ZHANG Yinchi
SUN Shao
GUAN Xiaojun
JIANG Caiying
GAO Lu
author_sort LIN Sinuo
collection DOAJ
description As one of the most dominant weather forecasting tools,numerical models have been widely employed for early warning and prediction of strong weather processes such as extreme rainfalls.In practical forecasting operations,numerical models are affected by initial fields,boundary conditions,and parameterization schemes,which makes it difficult to conduct long-time accurate forecasts.Based on the new-generation mesoscale numerical weather forecasting model,i.e.,weather research and forecasting (WRF) model,16 sets of microphysical processes and cumulus convection parameterization schemes are cross-combined to simulate the sensitivity of a continuous rainstorm process in the Minjiang River Basin from May 17 to 24,2021.The results show that the WRF model can reproduce the spatio-temporal distribution characteristics of this rainfall process,but it significantly overestimates the intensity and extent of the storm center,with the overall better performance of EXP9 (Lin-NT combination).For the mass sensitivity test of initial fields,the simulation results based on the optimal combination of parameterization schemes reveal that the fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) has a sound effect for all magnitudes of rainfalls.Meanwhile,it best matches the spatio-temporal characteristics of the observed data,followed by global data assimilation system/final operational global analysis (GDAS/FNL),while climate forecast system operational analysis (CFS) is the worst.This study can provide methodological references for improving the accuracy of extreme rainfall simulation and forecasting.
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institution Kabale University
issn 1001-9235
language zho
publishDate 2023-01-01
publisher Editorial Office of Pearl River
record_format Article
series Renmin Zhujiang
spelling doaj-art-447ccfed30b547d9889199e9c4ecf0392025-01-15T02:21:33ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352023-01-014447636711Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River BasinLIN SinuoZHANG YinchiSUN ShaoGUAN XiaojunJIANG CaiyingGAO LuAs one of the most dominant weather forecasting tools,numerical models have been widely employed for early warning and prediction of strong weather processes such as extreme rainfalls.In practical forecasting operations,numerical models are affected by initial fields,boundary conditions,and parameterization schemes,which makes it difficult to conduct long-time accurate forecasts.Based on the new-generation mesoscale numerical weather forecasting model,i.e.,weather research and forecasting (WRF) model,16 sets of microphysical processes and cumulus convection parameterization schemes are cross-combined to simulate the sensitivity of a continuous rainstorm process in the Minjiang River Basin from May 17 to 24,2021.The results show that the WRF model can reproduce the spatio-temporal distribution characteristics of this rainfall process,but it significantly overestimates the intensity and extent of the storm center,with the overall better performance of EXP9 (Lin-NT combination).For the mass sensitivity test of initial fields,the simulation results based on the optimal combination of parameterization schemes reveal that the fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) has a sound effect for all magnitudes of rainfalls.Meanwhile,it best matches the spatio-temporal characteristics of the observed data,followed by global data assimilation system/final operational global analysis (GDAS/FNL),while climate forecast system operational analysis (CFS) is the worst.This study can provide methodological references for improving the accuracy of extreme rainfall simulation and forecasting.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.10.004WRF modelrainstormparameterization schemesinitial fieldsMinjiang River Basin
spellingShingle LIN Sinuo
ZHANG Yinchi
SUN Shao
GUAN Xiaojun
JIANG Caiying
GAO Lu
Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
Renmin Zhujiang
WRF model
rainstorm
parameterization schemes
initial fields
Minjiang River Basin
title Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
title_full Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
title_fullStr Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
title_full_unstemmed Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
title_short Sensitivity Study of WRF Parameterization Schemes and Initial Fields on Rainstorm Simulation in Minjiang River Basin
title_sort sensitivity study of wrf parameterization schemes and initial fields on rainstorm simulation in minjiang river basin
topic WRF model
rainstorm
parameterization schemes
initial fields
Minjiang River Basin
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.10.004
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AT zhangyinchi sensitivitystudyofwrfparameterizationschemesandinitialfieldsonrainstormsimulationinminjiangriverbasin
AT sunshao sensitivitystudyofwrfparameterizationschemesandinitialfieldsonrainstormsimulationinminjiangriverbasin
AT guanxiaojun sensitivitystudyofwrfparameterizationschemesandinitialfieldsonrainstormsimulationinminjiangriverbasin
AT jiangcaiying sensitivitystudyofwrfparameterizationschemesandinitialfieldsonrainstormsimulationinminjiangriverbasin
AT gaolu sensitivitystudyofwrfparameterizationschemesandinitialfieldsonrainstormsimulationinminjiangriverbasin