PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID AIR-SEA COUPLED MODEL

LI Yong-ping; LIANG Xu-dong; DENG Zhi-ying

doi:10.3969/j.issn.1004-4965.2000.03.003

Home>Articles>PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID AIR-SEA COUPLED MODEL

DOI: 10.3969/j.issn.1004-4965.2000.03.003

PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID AIR-SEA COUPLED MODEL

LI Yong-ping

LIANG Xu-dong

DENG Zhi-ying

Abstract：A four-dimensional variational data assimilation system is established to optimize the initial fields of a hybrid air-sea coupled model. The prediction skill of tropical SSTA is improved. Statistical models for predicting annual TC frequency affecting East China area and Shanghai city are developed based on 37-yr products of this model and the forecast results are perfect in 1998 and 1999.

Keywords：sea surface temperature anomalousfour-dimensional variational data assimilationaffecting tropical cyclone

Publication Date：2000-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：6( 212-217 )

JOURNAL OF TROPICAL METEOROLOGY

PKUISTIC

ISSN：1004-4965

Year, Vol.(Issue)：2000,16(3)