Tuning Covariance Localization Using Machine Learning | 0 | 0.34 | 2019 |
An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. | 0 | 0.34 | 2018 |
Goal-Oriented Optimal Design Of Experiments For Large-Scale Bayesian Linear Inverse Problems | 1 | 0.43 | 2018 |
A Machine Learning Approach to Adaptive Covariance Localization. | 1 | 0.39 | 2018 |
DATeS: A Highly-Extensible Data Assimilation Testing Suite. | 0 | 0.34 | 2017 |
Cluster Sampling Filters for Non-Gaussian Data Assimilation. | 4 | 0.64 | 2016 |
A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation | 7 | 0.99 | 2015 |
A Sampling Filter for Non-Gaussian Data Assimilation. | 0 | 0.34 | 2014 |