Enhancing ensemble data assimilation into one‐way‐coupled models with one‐step‐ahead smoothing
Author:
Affiliation:
1. King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia
2. University of Colorado Boulder Colorado USA
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3916
Reference51 articles.
1. A Simple Stochastic Parameterization for Reduced Models of Multiscale Dynamics
2. A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology
3. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts
4. Data assimilation in a system with two scales—combining two initialization techniques
5. A Comparison of One-Way and Two-Way Coupling Methods for Numerical Analysis of Fluid-Structure Interactions
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1. Strongly Versus Weakly Coupled Data Assimilation in Coupled Systems With Various Inter‐Compartment Interactions;Journal of Advances in Modeling Earth Systems;2024-02-28
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3. Filtering with One-Step-Ahead Smoothing for Efficient Data Assimilation;Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV);2021-11-10
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