A 4DEnVar‐Based Ensemble Four‐Dimensional Variational (En4DVar) Hybrid Data Assimilation System for Global NWP: System Description and Primary Tests-Reference-Cited by-同舟云学术

A 4DEnVar‐Based Ensemble Four‐Dimensional Variational (En4DVar) Hybrid Data Assimilation System for Global NWP: System Description and Primary Tests

Published:2022-08 Issue:8 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Zhu Shujun¹²^ORCID,Wang Bin¹²³⁴^ORCID,Zhang Lin⁵⁶,Liu Juanjuan²⁴^ORCID,Liu Yongzhu⁵⁶,Gong Jiandong⁵⁶,Xu Shiming¹^ORCID,Wang Yong¹,Huang Wenyu¹^ORCID,Liu Li¹,He Yujun²^ORCID,Wu Xiangjun⁵⁶,Zhao Bin⁵⁶,Chen Fajing⁵⁶

Affiliation:

1. Department of Earth System Science Tsinghua University Beijing China

2. State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

3. Innovation Group 311020008 Southern Marine Science and Engineering Guangdong Laboratory Zhuhai China

4. College of Ocean University of Chinese Academy of Sciences Qingdao China

5. CMA Earth System Modeling and Prediction Centre China Meteorological Administration Beijing China

6. State Key Laboratory of Severe Weather China Meteorological Administration Beijing China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003023

Reference55 articles.

1. Southern High-Latitude Ensemble Data Assimilation in the Antarctic Mesoscale Prediction System

2. Ensemble covariances adaptively localized with ECO-RAP. Part 1: tests on simple error models

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4. The evolution of the ECMWF hybrid data assimilation system

5. On the use of EDA background error variances in the ECMWF 4D-Var

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