Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?

To further examine the effectiveness of the ascending and descending sections of the new round-trip drifting sounding system in forecasting high-impact weather such as heavy rainfall, in this study, three assimilation experiments were designed for a rainstorm in eastern China using WRF (Weather Rese...

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Main Authors: Xupeng Zhang, Lu Sun, Xulin Ma, Huan Guo, Zerui Gong, Xiaohan Yan
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/7/1127
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author Xupeng Zhang
Lu Sun
Xulin Ma
Huan Guo
Zerui Gong
Xiaohan Yan
author_facet Xupeng Zhang
Lu Sun
Xulin Ma
Huan Guo
Zerui Gong
Xiaohan Yan
author_sort Xupeng Zhang
collection DOAJ
description To further examine the effectiveness of the ascending and descending sections of the new round-trip drifting sounding system in forecasting high-impact weather such as heavy rainfall, in this study, three assimilation experiments were designed for a rainstorm in eastern China using WRF (Weather Research and Forecast) and WRFDA-3DVAR. Then, the reasons for the improvement in the effects of forecasting rainfall after assimilation were analyzed from various perspectives. The results showed that the assimilation of round-trip drifting sounding data can increase the accuracy of regions of heavy precipitation and improve the effectiveness of rainstorm forecasting. The quality of the wind field improved after the assimilation of the round-trip drifting sounding data, which improved the conditions of moisture transport, resulting in increased humidity in the lower layer, which accumulated more unstable energy for the development of storms. In addition, the enhanced low-level convergence after the assimilation of the new sounding data created a strong upward motion, which was more conducive to triggering heavy rainfall, thus improving the ability to forecast such heavy rainfall.
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spelling doaj.art-6f96c63ad7594d3b84bc22fb231a804a2023-11-18T18:15:52ZengMDPI AGAtmosphere2073-44332023-07-01147112710.3390/atmos14071127Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?Xupeng Zhang0Lu Sun1Xulin Ma2Huan Guo3Zerui Gong4Xiaohan Yan5China Institute for Radiation Protection, Taiyuan 030006, ChinaMeteorological Institute of Shaanxi Province, Xi’an 710016, ChinaKey Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaChina Institute for Radiation Protection, Taiyuan 030006, ChinaChina Institute for Radiation Protection, Taiyuan 030006, ChinaChina Institute for Radiation Protection, Taiyuan 030006, ChinaTo further examine the effectiveness of the ascending and descending sections of the new round-trip drifting sounding system in forecasting high-impact weather such as heavy rainfall, in this study, three assimilation experiments were designed for a rainstorm in eastern China using WRF (Weather Research and Forecast) and WRFDA-3DVAR. Then, the reasons for the improvement in the effects of forecasting rainfall after assimilation were analyzed from various perspectives. The results showed that the assimilation of round-trip drifting sounding data can increase the accuracy of regions of heavy precipitation and improve the effectiveness of rainstorm forecasting. The quality of the wind field improved after the assimilation of the round-trip drifting sounding data, which improved the conditions of moisture transport, resulting in increased humidity in the lower layer, which accumulated more unstable energy for the development of storms. In addition, the enhanced low-level convergence after the assimilation of the new sounding data created a strong upward motion, which was more conducive to triggering heavy rainfall, thus improving the ability to forecast such heavy rainfall.https://www.mdpi.com/2073-4433/14/7/1127round-trip drifting soundingdata assimilationnumerical predictionrainstorms in eastern China
spellingShingle Xupeng Zhang
Lu Sun
Xulin Ma
Huan Guo
Zerui Gong
Xiaohan Yan
Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
Atmosphere
round-trip drifting sounding
data assimilation
numerical prediction
rainstorms in eastern China
title Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
title_full Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
title_fullStr Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
title_full_unstemmed Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
title_short Can the Assimilation of the Ascending and Descending Sections’ Data from Round-Trip Drifting Soundings Improve the Forecasting of Rainstorms in Eastern China?
title_sort can the assimilation of the ascending and descending sections data from round trip drifting soundings improve the forecasting of rainstorms in eastern china
topic round-trip drifting sounding
data assimilation
numerical prediction
rainstorms in eastern China
url https://www.mdpi.com/2073-4433/14/7/1127
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