A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products

A gale occurred in Beijing on 30 May 2024, which led to fallen trees and damaged infrastructure. This event was primarily driven by surface divergent winds induced by strong convective downdrafts. During the occurrence and development of this gale, solar shortwave radiation and cloud-related variabl...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaoying Xu, Zhuoya Ni, Qifeng Lu, Ruixia Liu, Chunqiang Wu, Fu Wang, Jianglin Hu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/8/1378
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850144263136870400
author Xiaoying Xu
Zhuoya Ni
Qifeng Lu
Ruixia Liu
Chunqiang Wu
Fu Wang
Jianglin Hu
author_facet Xiaoying Xu
Zhuoya Ni
Qifeng Lu
Ruixia Liu
Chunqiang Wu
Fu Wang
Jianglin Hu
author_sort Xiaoying Xu
collection DOAJ
description A gale occurred in Beijing on 30 May 2024, which led to fallen trees and damaged infrastructure. This event was primarily driven by surface divergent winds induced by strong convective downdrafts. During the occurrence and development of this gale, solar shortwave radiation and cloud-related variables played a crucial role in triggering, sustaining, and organizing convection. This study proposes a new diagnostic analysis approach for this gale focusing on shortwave radiation and cloud-related variables involved in the physical processes of gale development, based on the FY-4B L2 products and simulations from the Mesoscale Weather Numerical Forecast System of the China Meteorological Administration (CMA-MESO). The diagnostic analysis results of this case show that before cloud formation, the CMA-MESO simulates stronger shortwave radiation heating in the initial stages, leading to an overestimation of surface temperature rise. Additionally, the simulated cloud formation occurs slightly later than observed, with reduced cloud coverage, shorter cloud duration, and lower cloud top heights, resulting in a weaker convective intensity compared to observations. Furthermore, the CMA-MESO underestimates the temperature gradient between the middle and lower troposphere and predicts lower convective instability, which leads to weaker forecasts of convection organization. Ultimately, this study provides a theoretical basis and technical support for enhancing the ability of the CMA-MESO to simulate this gale by using the FY-4B L2 data products for diagnostic analysis.
format Article
id doaj-art-d3b07b726ff7459781776e4b5b4da918
institution OA Journals
issn 2072-4292
language English
publishDate 2025-04-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj-art-d3b07b726ff7459781776e4b5b4da9182025-08-20T02:28:25ZengMDPI AGRemote Sensing2072-42922025-04-01178137810.3390/rs17081378A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation ProductsXiaoying Xu0Zhuoya Ni1Qifeng Lu2Ruixia Liu3Chunqiang Wu4Fu Wang5Jianglin Hu6Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaCMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing 100081, ChinaA gale occurred in Beijing on 30 May 2024, which led to fallen trees and damaged infrastructure. This event was primarily driven by surface divergent winds induced by strong convective downdrafts. During the occurrence and development of this gale, solar shortwave radiation and cloud-related variables played a crucial role in triggering, sustaining, and organizing convection. This study proposes a new diagnostic analysis approach for this gale focusing on shortwave radiation and cloud-related variables involved in the physical processes of gale development, based on the FY-4B L2 products and simulations from the Mesoscale Weather Numerical Forecast System of the China Meteorological Administration (CMA-MESO). The diagnostic analysis results of this case show that before cloud formation, the CMA-MESO simulates stronger shortwave radiation heating in the initial stages, leading to an overestimation of surface temperature rise. Additionally, the simulated cloud formation occurs slightly later than observed, with reduced cloud coverage, shorter cloud duration, and lower cloud top heights, resulting in a weaker convective intensity compared to observations. Furthermore, the CMA-MESO underestimates the temperature gradient between the middle and lower troposphere and predicts lower convective instability, which leads to weaker forecasts of convection organization. Ultimately, this study provides a theoretical basis and technical support for enhancing the ability of the CMA-MESO to simulate this gale by using the FY-4B L2 data products for diagnostic analysis.https://www.mdpi.com/2072-4292/17/8/1378galeFY-4BCMA-MESOshortwave radiationdiagnostic analysis
spellingShingle Xiaoying Xu
Zhuoya Ni
Qifeng Lu
Ruixia Liu
Chunqiang Wu
Fu Wang
Jianglin Hu
A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
Remote Sensing
gale
FY-4B
CMA-MESO
shortwave radiation
diagnostic analysis
title A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
title_full A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
title_fullStr A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
title_full_unstemmed A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
title_short A Diagnostic Analysis of the 2024 Beijing May 30 Gale Simulation Based on Satellite Observation Products
title_sort diagnostic analysis of the 2024 beijing may 30 gale simulation based on satellite observation products
topic gale
FY-4B
CMA-MESO
shortwave radiation
diagnostic analysis
url https://www.mdpi.com/2072-4292/17/8/1378
work_keys_str_mv AT xiaoyingxu adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT zhuoyani adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT qifenglu adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT ruixialiu adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT chunqiangwu adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT fuwang adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT jianglinhu adiagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT xiaoyingxu diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT zhuoyani diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT qifenglu diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT ruixialiu diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT chunqiangwu diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT fuwang diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts
AT jianglinhu diagnosticanalysisofthe2024beijingmay30galesimulationbasedonsatelliteobservationproducts