RAINFALL FORECAST WITH ENSEMBLE PERFORMANCE OF TRANSLATION MODEL AND NUMERICAL WEATHER PREDICTION

被引：0

作者：

Ngoc Son Nguyen ^{[1
]}

He, Shan ^{[1
]}

Raghavan, Srivatsan V. ^{[1
]}

Chi Dung Doan ^{[1
]}

Liong, Shie-Yui ^{[1
]}

机构：

[1] Natl Univ Singapore, Trop Marine Sci Inst, Singapore 117548, Singapore

来源：

ADVANCES IN GEOSCIENCES VOL 29: HYDROLOGICAL SCIENCE (HS) | 2012年

关键词：

REGIONAL CLIMATE MODEL; PRECIPITATION;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Many urban catchments normally suffer from heavy flooding due to various reasons such as very large percentage of imperviousness or a short time of concentration. It is therefore of interest to provide an operationally useful forecast lead-time to allow mitigation measures to be undertaken. This paper presents the application of an ensemble model approach which combines rainfall nowcasting using translation model (TM) with rainfall forecasting using numerical weather prediction (NWP). The translation model is more precise in short-term forecast up to six hours while NWP has its advantage in long-term forecast up to several days. The performance of the ensemble model for some heavy rainfall events over Greater Singapore domain will be presented.

引用

页码：11 / 29

页数：19

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