An Investigation Into the Variant‐Weight Multi‐Model Ensemble Forecasting Technique Based on the Analyses of Model Systematic Errors Calculation and Elimination-Reference-Cited by-同舟云学术

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An Investigation Into the Variant‐Weight Multi‐Model Ensemble Forecasting Technique Based on the Analyses of Model Systematic Errors Calculation and Elimination

Published:2022-10 Issue:10 Volume:9 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Liang Zhaoming¹²^ORCID,Wei Xiaomin³^ORCID,Sun Xiaogong¹

Affiliation:

1. State Key Laboratory of Severe Weather (LaSW) Institute of Artificial Intelligence for Meteorology Chinese Academy of Meteorological Sciences Beijing China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai China

3. China Meteorological Administration Training Center Beijing China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EA002547

Reference32 articles.

1. Evaluation of TIGGE Ensemble Forecasts of Precipitation in Distinct Climate Regions in Iran

2. A review of operational methods of variational and ensemble‐variational data assimilation

3. Recalculation of error growth models’ parameters for the ECMWF forecast system;Bednář H.;Geoscientific Model Development Discussions,2020

4. Application of Multimodel Superensemble Technique on the TIGGE Suite of Operational Models

5. Short- and Medium-Range Prediction of Tropical and Transitioning Cyclone Tracks within the NCEP Global Ensemble Forecasting System

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