Model‐Space Localization in Serial Ensemble Filters-Reference-Cited by-同舟云学术

Model‐Space Localization in Serial Ensemble Filters

Published:2019-06 Issue:6 Volume:11 Page:1627-1636
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Shlyaeva Anna¹^ORCID,Whitaker Jeffrey S.²,Snyder Chris³

Affiliation:

1. Physical Sciences Division, Cooperative Institute for Research in Environmental Sciences at the NOAA Earth System Research LaboratoryUniversity of Colorado Boulder Boulder CO USA

2. Physical Sciences DivisionNOAA Earth System Research Laboratory Boulder CO USA

3. National Center for Atmospheric Research Boulder CO USA

Publisher

American Geophysical Union (AGU)

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018MS001514

Reference20 articles.

1. An Ensemble Adjustment Kalman Filter for Data Assimilation

2. Scalable Implementations of Ensemble Filter Algorithms for Data Assimilation

3. Ensemble covariances adaptively localized with ECO-RAP. Part 2: a strategy for the atmosphere

4. Gain Form of the Ensemble Transform Kalman Filter and Its Relevance to Satellite Data Assimilation with Model Space Ensemble Covariance Localization

5. Ensemble-derived stationary and flow-dependent background-error covariances: Evaluation in a quasi-operational NWP setting

Cited by 8 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. Using Satellite Data Assimilation Techniques to Combine Infrasound Observations and a Full Ray-Tracing Model to Constrain Stratospheric Variables;Monthly Weather Review;2024-08

2. Using the (3N)-Dimensional Generalized Lorenz Systems as a Testbed for Data Assimilation: The Ensemble Kalman Filter;Monthly Weather Review;2021-11

3. The Maximum Likelihood Ensemble Filter with State Space Localization;Monthly Weather Review;2021-10

4. Assimilating atmospheric infrasound data to constrain atmospheric winds in a two‐dimensional grid;Quarterly Journal of the Royal Meteorological Society;2021-08-16

5. A testbed for geomagnetic data assimilation;Geophysical Journal International;2021-08-14