Ensemble of 4DVARs (En4DVar) data assimilation in a coastal ocean circulation model, Part I: Methodology and ensemble statistics-Reference-Cited by-同舟云学术

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Ensemble of 4DVARs (En4DVar) data assimilation in a coastal ocean circulation model, Part I: Methodology and ensemble statistics

Published:2019-12 Issue: Volume:144 Page:101493
ISSN:1463-5003
Container-title:Ocean Modelling
language:en
Short-container-title:Ocean Modelling

Author:

Pasmans Ivo,Kurapov Alexander L.

Funder

National Aeronautics and Space Administration

National Oceanic and Atmospheric Administration

National Science Foundation

Publisher

Elsevier BV

Subject

Atmospheric Science,Geotechnical Engineering and Engineering Geology,Computer Science (miscellaneous),Oceanography

Reference90 articles.

1. Hybrid 4DVAR with a local ensemble tangent linear model: Application to the shallow-water model;Allen;Mon. Wea. Rev.,2017

2. A weak-constraint 4DEnsembleVar. Part I: Formulation and simple model experiments;Amezcua;Tellus A,2017

3. An ensemble adjustment Kalman filter for data assimilation;Anderson;Mon. Weather Rev.,2001

4. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Mon. Wea. Rev.,1999

5. Ensemble—variational integrated localized data assimilation;Auligné;Mon. Weather Rev.,2016

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