Improvement of the Ensemble Methods in the Dynamical–Statistical–Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation-Reference-Cited by-同舟云学术

Improvement of the Ensemble Methods in the Dynamical–Statistical–Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation

Published:2022 Issue:3 Volume:100 Page:575-592
ISSN:0026-1165
Container-title:Journal of the Meteorological Society of Japan. Ser. II
language:en
Short-container-title:Journal of the Meteorological Society of Japan

Author:

JIA Li¹,REN Fumin²,DING Chenchen¹,JIA Zuo³,WANG Mingyang¹,CHEN Yuxu⁴,FENG Tian⁵

Affiliation:

1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science and Technology, China

2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China

3. CSSC Marine Technology Co., Ltd., China

4. Shantou Meteorological Bureau, China

5. Haikou Meteorological Station, Haikou Meteorological Bureau, China

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/jmsj/100/3/100_2022-029/_pdf

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3. Chao, Y. Y., J.-H. G. M. Alves, and H. L. Tolman, 2005: An operational system for predicting hurricane-generated wind waves in the North Atlantic Ocean. Wea. Forecasting, 20, 652-671.

4. Chen, B. Y., K. Dai, and Y. Guo, 2015: Precipitation verification and analysis of ECMWF ensemble statistic products in 2013 flooding season. Torrential Rain and Disasters, 34, 64-73 (in Chinese).

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