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Examining the Predictability of Tropical Cyclogenesis over the East Sea of Vietnam through the Ensemble-Based Data Assimilation System

Authors :
Dao Nguyen-Quynh Hoa
Tran-Tan Tien
Nguyen-Y Nhu
Thi Lan Dao
Source :
Atmosphere, Vol 14, Iss 11, p 1671 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

In this study, we conducted experiments to assess the forecasting capabilities for tropical cyclone (TC) genesis over the east sea of Vietnam using the ensemble-based data assimilation system (EPS-DA) by WRF-LETKF. These experiments covered forecast lead times of up to 5 days and spanned a period from 2012 to 2019, involving a total of 45 TC formation events. The evaluation involved forecast probability assessments and positional and timing error analysis. Results indicated that successful forecasting depends on the lead time and initial condition quality. For TC formation from an embryo vortex to tropical depression intensity, the EPS-DA system demonstrated improved accuracy as the forecast cycle approached the actual formation time. TC centers converged towards observed locations, highlighting the potential of assimilation up to 5 days before formation. We examined statistical variations in dynamic and thermodynamic variables relevant to TC processes, offering an objective system assessment. Our study emphasized that early warnings of TC development appear linked to formation-time environmental conditions, particularly strong vorticity and enhanced moisture processes.

Details

Language :
English
ISSN :
20734433
Volume :
14
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
edsdoj.9a1f0139e193430da2bbfd600a79315b
Document Type :
article
Full Text :
https://doi.org/10.3390/atmos14111671