Empirical determination of the covariance of forecast errors: An empirical justification and reformulation of hybrid covariance models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Empirical determination of the covariance of forecast errors: An empirical justification and reformulation of hybrid covariance models

Published:2021-03-20 Issue:736 Volume:147 Page:2033-2052
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q.J.R. Meteorol. Soc

Author:

Carrió Diego S.¹²^ORCID,Bishop Craig H.¹²,Kotsuki Shunji³⁴⁵^ORCID

Affiliation:

1. School of Earth Sciences The University of Melbourne Parkville Victoria Australia

2. ARC Centre of Excellence for Climate Extremes Parkville Victoria Australia

3. Center for Environmental Remote Sensing Chiba University Chiba Japan

4. RIKEN Center for Computational Science Kobe Japan

5. PRESTO, Japan Science and Technology Agency Chiba Japan

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4008

Reference31 articles.

1. An Ensemble Adjustment Kalman Filter for Data Assimilation

2. Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects

3. Hidden Error Variance Theory. Part I: Exposition and Analytic Model

4. The ensemble Kalman filter in an operational regional NWP system: preliminary results with real observations

5. Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Covariance Hybridization for the Assimilation of SST Observations Within a Coupled Earth System Reanalysis;Journal of Advances in Modeling Earth Systems;2024-06

2. High-Resolution Data Assimilation for Two Maritime Extreme Weather Events: A Comparison between 3dvar and Enkf;2024

3. Benefit of vertical localization for sea surface temperature assimilation in isopycnal coordinate model;Frontiers in Climate;2022-12-15

4. Implementing Hybrid Background Error Covariance into the LETKF with Attenuation-Based Localization: Experiments with a Simplified AGCM;Monthly Weather Review;2022-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3