AUTHOREA
Log in
Sign Up
Browse Preprints
LOG IN
SIGN UP
Essential Site Maintenance
: Authorea-powered sites will be updated circa 15:00-17:00 Eastern on Tuesday 5 November.
There should be no interruption to normal services, but please contact us at
[email protected]
in case you face any issues.
Luis G Guzman-Reyes
Public Documents
1
A Robust Ensemble-based Data Assimilation Method using Shrinkage Estimator and Adapti...
Santiago Lopez-Restrepo
and 7 more
May 25, 2021
This work proposes a robust and non-gaussian version of the shrinkage-based EnKF implementation, the EnKF-KA. The proposed method is based in the robust H filter and in its ensemble time-local version the EnTLHF, using an adaptive inflation factor depending on the shrinkage covariance estimated matrix. This implies a theoretical and solid background to construct robust filters from the well-known covariance inflation technique. The method is tested using the Lorenz-96 model to evaluate the robustness and performance under different scenarios as ensemble size, observation error, errors in the model specifications, and ensemble gaussianity. The results suggest good robustness of the proposed method in all the evaluated cases compared with the standard EnKF, the shrinkage-based EnKF-KA, and the robust EnTLHF.