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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Format: | Article |
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Editorial Office of Torrential Rain and Disasters
2023-04-01
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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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id | doaj.art-3b584a020dd44ef9af5a3b6b4c12a6d9 |
institution | Directory Open Access Journal |
issn | 2097-2164 |
language | zho |
last_indexed | 2024-03-13T00:12:23Z |
publishDate | 2023-04-01 |
publisher | Editorial Office of Torrential Rain and Disasters |
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series | 暴雨灾害 |
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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