Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model

Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model

Abstract Coupled general circulation models (GCM), and their atmospheric, oceanic, land, and sea‐ice components have many parameters. Some parameters determine the numerics of the dynamical core, while others are based on our current understanding of the physical processes being simulated. Many of t...

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Bibliographic Details
Main Authors: V. Kitsios, P. Sandery, T. J. O’Kane, R. Fiedler
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
coupled GCM
data assimilation
ensemble Kalman filter
model bias
parameter estimation
Online Access:https://doi.org/10.1029/2020MS002252

Internet

https://doi.org/10.1029/2020MS002252

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