Seasonal rainfall forecasting for the Yangtze River basin using statistical and dynamical models-Reference-Cited by-同舟云学术

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Seasonal rainfall forecasting for the Yangtze River basin using statistical and dynamical models

Published:2019-07-17 Issue:1 Volume:40 Page:361-377
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Qian Shuni¹^ORCID,Chen Jie¹²^ORCID,Li Xiangquan¹,Xu Chong‐Yu¹³,Guo Shenglian¹^ORCID,Chen Hua¹,Wu Xushu¹^ORCID

Affiliation:

1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University Wuhan China

2. Hubei Provincial Key Lab of Water System Science for Sponge City ConstructionWuhan University Wuhan China

3. Department of GeosciencesUniversity of Oslo Oslo Norway

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.6216

Reference61 articles.

1. Prediction of Indian summer monsoon rainfall: a weighted multi-model ensemble to enhance probabilistic forecast skills

2. Evaluation of Probabilistic Quality and Value of the ENSEMBLES Multimodel Seasonal Forecasts: Comparison with DEMETER

3. GloFAS – global ensemble streamflow forecasting and flood early warning

4. Influence of the Indian Ocean Dipole on the Australian winter rainfall

5. A Look at the Relationship between the ENSO and the Indian Ocean Dipole.

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