On the ensemble‐based linearization of numerical models-Reference-Cited by-同舟云学术

On the ensemble‐based linearization of numerical models

Published:2020-01 Issue:727 Volume:146 Page:1026-1039
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q J R Meteorol Soc

Author:

Yaremchuk Max¹^ORCID,Nechaev Dmitri²,Frolov Sergey³

Affiliation:

1. Naval Research Laboratory Stennis Space Center Mississippi USA

2. Department of Marine Science University of Southern Mississippi Hattiesburg Mississippi USA

3. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Colorado USA

Funder

Office of Naval Research

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3723

Reference21 articles.

1. Hybrid 4DVAR with a Local Ensemble Tangent Linear Model: Application to the Shallow-Water Model

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

3. The Local Ensemble Tangent Linear Model: an enabler for coupled model 4D‐Var

4. Bonavita M. Tremolet Y. Holm E. Lang S. Chrust M. Janiskova M. Lopez P. Laloyaux P. Rosnay P. Fisher M. Harmud M.andEnglish S.(2017).A strategy for data assimilation. Technical Memorandum 800 ECMWF Reading UK.

5. Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part I: The Global System

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3. Challenges of Increased Resolution for the Local Ensemble Tangent Linear Model;Monthly Weather Review;2020-05-27