Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event-Reference-Cited by-同舟云学术

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Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event

Published:2017-01 Issue: Volume:183 Page:1-16
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Wang Yuanbing,Min Jinzhong,Chen Yaodeng,Huang Xiang-Yu,Zeng Mingjian,Li Xin

Funder

National Basic Research Program of China

Special Fund for Meteorological Scientific Research in Public Interest

National Natural Science Foundation of China

Key University Science Research Project of Jiangsu Province

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference49 articles.

1. An ensemble adjustment Kalman filter for data assimilation;Anderson;Mon. Weather Rev.,2001

2. Southern high-latitude ensemble data assimilation in the Antarctic Mesoscale Prediction System;Barker;Mon. Weather Rev.,2005

3. A three-dimensional variational data assimilation system for MM5: implementation and initial results;Barker;Mon. Weather Rev.,2004

4. The weather research and forecasting model's community variational/ensemble data assimilation system: WRFDA;Barker;Bull. Am. Meteorol. Soc.,2012

5. An hourly assimilation-forecast cycle: the RUC;Benjamin;Mon. Weather Rev.,2004

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