Estimating the travel time and the most likely path from Lagrangian drifters M O’Malley, AM Sykulski, R Laso-Jadart, MA Madoui Journal of Atmospheric and Oceanic Technology 38 (5), 1059-1073, 2021 | 15 | 2021 |
How marine currents and environment shape plankton genomic differentiation: a mosaic view from Tara Oceans metagenomic data R Laso-Jadart, M O’Malley, AM Sykulski, C Ambroise, MA Madoui Biorxiv, 2021.04. 29.441957, 2021 | 8 | 2021 |
Probabilistic Prediction of Oceanographic Velocities with Multivariate Gaussian Natural Gradient Boosting M O’Malley, AM Sykulski, R Lumpkin, A Schuler Environmental Data Science 2, e10, 2023 | 7* | 2023 |
Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations R Laso-Jadart, M O’Malley, AM Sykulski, C Ambroise, MA Madoui BMC Ecology and Evolution 23 (1), 46, 2023 | 2 | 2023 |
Statistical Modelling and Inference for Ocean Trajectory Data M O'Malley PQDT-Global, 2022 | | 2022 |
Estimating the travel time and the most likely path from the Global Drifter Program M O'Malley, AM Sykulski, R Laso-Jadart, MA Madoui EGU General Assembly Conference Abstracts, EGU21-15648, 2021 | | 2021 |
Estimating Lagrangian Travel Times from Satellite Tracked Drifters M O'Malley, A Sykulski, R Laso-Jadart Ocean Sciences Meeting 2020, 2020 | | 2020 |
Machine learning prediction of surface velocities using drifters and gridded satellite data A Sykulski, M O'Malley, R Lumpkin 2024 Ocean Sciences Meeting, 0 | | |