Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line

The effect of radar data assimilation under different horizontal resolutions on the numerical simulation of a squall line that occurred in Chongqing on 5 June 2019 was studied in this paper. The Weather Research and Forecasting (WRF) model and the three-dimensional variational assimilation (3DVAR) s...

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Main Authors: Ting YOU, Zheng WU, Danhua ZHAI, Song GAO, Mao YE
Format: Article
Language:zho
Published: Editorial Office of Torrential Rain and Disasters 2023-04-01
Series:暴雨灾害
Subjects:
Online Access:http://www.byzh.org.cn/cn/article/doi/10.12406/byzh.2022-084
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author Ting YOU
Zheng WU
Danhua ZHAI
Song GAO
Mao YE
author_facet Ting YOU
Zheng WU
Danhua ZHAI
Song GAO
Mao YE
author_sort Ting YOU
collection DOAJ
description The effect of radar data assimilation under different horizontal resolutions on the numerical simulation of a squall line that occurred in Chongqing on 5 June 2019 was studied in this paper. The Weather Research and Forecasting (WRF) model and the three-dimensional variational assimilation (3DVAR) system of the advanced regional prediction system (ARPS) and its data assimilation system (ADAS) were used. Our major conclusions are as follows: (1) Without radar data assimilation, the simulation results are still not significantly improved with the horizontal resolution increasing from 900 m to 300 m. (2) In comparison, with radar assimilation, the simulations under different horizontal resolutions have a certain improvement in the shape, intensity and falling area of the radar echo. (3) Combining an adequate higher resolution with the initial radar data assimilation can further optimize and adjust the dynamic thermal water vapor conditions of the simulation, making the simulated characteristics of evolution process and organizational structure of this squall line closer to the observations. Therefore, improving the horizontal resolution and using radar data assimilation at the same time might significantly improve the model prediction capability.
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spelling doaj.art-3b584a020dd44ef9af5a3b6b4c12a6d92023-07-12T10:54:33ZzhoEditorial Office of Torrential Rain and Disasters暴雨灾害2097-21642023-04-0142218819910.12406/byzh.2022-084byzh-42-2-188Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall lineTing YOU0Zheng WU1Danhua ZHAI2Song GAO3Mao YE4Chongqing Institute of Meteorological Sciences, Chongqing 401147Chongqing Institute of Meteorological Sciences, Chongqing 401147Chongqing Meteorological Observatory, Chongqing 401147Chongqing Institute of Meteorological Sciences, Chongqing 401147Chongqing Institute of Meteorological Sciences, Chongqing 401147The effect of radar data assimilation under different horizontal resolutions on the numerical simulation of a squall line that occurred in Chongqing on 5 June 2019 was studied in this paper. The Weather Research and Forecasting (WRF) model and the three-dimensional variational assimilation (3DVAR) system of the advanced regional prediction system (ARPS) and its data assimilation system (ADAS) were used. Our major conclusions are as follows: (1) Without radar data assimilation, the simulation results are still not significantly improved with the horizontal resolution increasing from 900 m to 300 m. (2) In comparison, with radar assimilation, the simulations under different horizontal resolutions have a certain improvement in the shape, intensity and falling area of the radar echo. (3) Combining an adequate higher resolution with the initial radar data assimilation can further optimize and adjust the dynamic thermal water vapor conditions of the simulation, making the simulated characteristics of evolution process and organizational structure of this squall line closer to the observations. Therefore, improving the horizontal resolution and using radar data assimilation at the same time might significantly improve the model prediction capability.http://www.byzh.org.cn/cn/article/doi/10.12406/byzh.2022-084radar data assimilationsquall linewrf modelsub-kilometer-scale
spellingShingle Ting YOU
Zheng WU
Danhua ZHAI
Song GAO
Mao YE
Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
暴雨灾害
radar data assimilation
squall line
wrf model
sub-kilometer-scale
title Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
title_full Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
title_fullStr Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
title_full_unstemmed Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
title_short Impact of radar data assimilation on sub-kilometer-scale numerical simulation of a squall line
title_sort impact of radar data assimilation on sub kilometer scale numerical simulation of a squall line
topic radar data assimilation
squall line
wrf model
sub-kilometer-scale
url http://www.byzh.org.cn/cn/article/doi/10.12406/byzh.2022-084
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AT zhengwu impactofradardataassimilationonsubkilometerscalenumericalsimulationofasquallline
AT danhuazhai impactofradardataassimilationonsubkilometerscalenumericalsimulationofasquallline
AT songgao impactofradardataassimilationonsubkilometerscalenumericalsimulationofasquallline
AT maoye impactofradardataassimilationonsubkilometerscalenumericalsimulationofasquallline