| On the definition of marginal ice zone width C Strong, D Foster, E Cherkaev, I Eisenman, KM Golden Journal of Atmospheric and Oceanic Technology 34 (7), 1565-1584, 2017 | 34 | 2017 |
| Probabilistic machine learning estimation of ocean mixed layer depth from dense satellite and sparse in situ observations D Foster, DJ Gagne, DB Whitt Journal of Advances in Modeling Earth Systems 13 (12), e2021MS002474, 2021 | 25 | 2021 |
| A Bayesian approach to regional decadal predictability: Sparse parameter estimation in high-dimensional linear inverse models of high-latitude sea surface temperature variability D Foster, D Comeau, NM Urban Journal of Climate 33 (14), 6065-6081, 2020 | 7 | 2020 |
| Subsurface uncertainty quantification with deep geologic priors: A variational Bayesian framework A Tewari, B Wheelock, J Clark, D Foster, M Li, Y Marzouk Second International Meeting for Applied Geoscience & Energy, 1745-1749, 2022 | 3 | 2022 |
| Gradient sensing via cell communication D Foster, B Frost-LaPlante, C Victor, JM Restrepo Physical Review E 103 (2), 022405, 2021 | 2 | 2021 |
| An improved framework for the dynamic likelihood filtering approach to data assimilation D Foster, JM Restrepo Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (5), 2022 | 1 | 2022 |
| On the Dynamic Likelihood Approach to Data Assimilation for Stochastic Hyperbolic Geophysical Processes DA Foster | | 2021 |
| An Improved Framework for the Dynamic Likelihood Filter D Foster, J Restrepo APS March Meeting Abstracts 2021, R15. 007, 2021 | | 2021 |
| Dynamic Likelihood Filter: A Data Assimilation Scheme that Exploits Hyperbolicity in Wave Problems to Propagate Observations D Foster, JM Restrepo AGU Fall Meeting Abstracts 2020, NG003-02, 2020 | | 2020 |
| Bayesian Parameter Estimation in Linear Inverse Models: An Application to High-Latitude Decadal Sea Surface Temperature Variability D Foster, NM Urban, DS Comeau AGU Fall Meeting Abstracts 2019, GC13H-1265, 2019 | | 2019 |
