| TCDetect: a new method of detecting the presence of tropical cyclones using deep learning D Galea, J Kunkel, BN Lawrence Artificial Intelligence for the Earth Systems 2 (3), e220045, 2023 | 1 | 2023 |
| UFNet: Joint U-Net and fully connected neural network to bias correct precipitation predictions from climate models S Yu, I Chakraborty, GJ Anderson, DD Lucas, Y Lops, D Galea Artificial Intelligence for the Earth Systems, 2024 | | 2024 |
| Investigating differences between Tropical Cyclone detection systems D Galea, K Hodges, BN Lawrence Artificial Intelligence for the Earth Systems 3 (2), e220046, 2024 | | 2024 |
| Deep Learning Image Segmentation for Atmospheric Rivers D Galea, HY Ma, WY Wu, D Kobayashi Artificial Intelligence for the Earth Systems 3 (1), 230048, 2024 | | 2024 |
| Using storm tracking to evaluate Energy Exascale Earth System Model (E3SM) short-range hindcast WY Wu, HY Ma, DC Lafferty, Z Feng, PA Ullrich, Q Tang, JC Golaz, ... AGU23, 2023 | | 2023 |
| Joint U-Net and Fully Connected Neural Network for Bias Correcting Precipitation in Climate Simulations S Yu, GJ Anderson, I Chakraborty, D Lucas, Y Lops, D Galea AGU23, 2023 | | 2023 |
| ARDetect: Deep Learning-Based Image Segmentation for Atmospheric River Identification using ERA5 Data D Galea, HY Ma, WY Wu AGU23, 2023 | | 2023 |
| Quantifying Uncertainties in Deep Learning Bias Correction of Climate Models Y Lops, GJ Anderson, I Chakraborty, D Lucas, D Galea, S Yu AGU23, 2023 | | 2023 |
| Meteorological data reduction for tropical cyclones using deep learning techniques D Galea University of Reading, 2022 | | 2022 |
| Detecting Tropical Cyclones using Deep Learning Techniques D Galea, B Lawrence, J Kunkel EGU General Assembly Conference Abstracts, 9870, 2020 | | 2020 |
