The Application of the SVD Method to Reduce Coupled Model Biases in Seasonal Predictions of Rainfall-Reference-Cited by-同舟云学术

The Application of the SVD Method to Reduce Coupled Model Biases in Seasonal Predictions of Rainfall

Published:2019-11-22 Issue:22 Volume:124 Page:11837-11849
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Lin Renping¹^ORCID,Zhu Jiang¹^ORCID,Zheng Fei¹²^ORCID

Affiliation:

1. International Center for Climate and Environment Sciences, Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JD029927

Reference63 articles.

1. Linear Statistical Short-Term Climate Predictive Skill in the Northern Hemisphere

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4. Seasonal Forecasts of the Summer 2016 Yangtze River Basin Rainfall

5. Randomized dynamic mode decomposition for nonintrusive reduced order modelling

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