A Mini‐Batch Stochastic Optimization‐Based Adaptive Localization Scheme and Its Implementation in NLS‐i4DVar-Reference-Cited by-同舟云学术

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A Mini‐Batch Stochastic Optimization‐Based Adaptive Localization Scheme and Its Implementation in NLS‐i4DVar

Published:2022-08 Issue:8 Volume:9 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Zhang Hongqin¹²^ORCID,Tian Xiangjun¹³^ORCID,Feng Xiaobing⁴

Affiliation:

1. National Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth System and Resource Environment Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China

2. ICCES Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

3. University of Chinese Academy Sciences Beijing China

4. Department of Mathematics The University of Tennessee Knoxville TN USA

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EA002254

Reference42 articles.

1. Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter

2. Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation

3. Empirical Localization of Observation Impact in Ensemble Kalman Filters

4. Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State Estimation

5. Flow-adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation

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