| Radar Super Resolution using a Deep Convolutional Neural Network A Geiss, JC Hardin Journal of Atmospheric and Oceanic Technology, 1-29, 2020 | 31 | 2020 |
| Downscaling atmospheric chemistry simulations with physically consistent deep learning A Geiss, SJ Silva, JC Hardin Geoscientific Model Development 15 (17), 6677-6694, 2022 | 12* | 2022 |
| Decomposition of spatial structure of nocturnal flow over gentle terrain A Geiss, L Mahrt Boundary-Layer Meteorology 156, 337-347, 2015 | 12 | 2015 |
| Inpainting radar missing data regions with deep learning A Geiss, JC Hardin Atmospheric Measurement Techniques 14 (12), 7729-7747, 2021 | 11 | 2021 |
| Strictly enforcing invertibility and conservation in CNN-based super resolution for scientific datasets A Geiss, JC Hardin Artificial Intelligence for the Earth Systems 2 (1), e210012, 2023 | 8* | 2023 |
| Cloud responses to climate variability over the extratropical oceans as observed by MISR and MODIS A Geiss, R Marchand Atmospheric Chemistry and Physics 19 (11), 7547-7565, 2019 | 7 | 2019 |
| Near-equatorial convective regimes over the Indian Ocean as revealed by synergistic analysis of satellite observations G Levy, A Geiss, MR Ramesh Kumar Advances in Geosciences: Volume 22: Atmospheric Science (AS), 101-114, 2011 | 5 | 2011 |
| Emulating aerosol optics with randomly generated neural networks A Geiss, PL Ma, B Singh, JC Hardin Geoscientific Model Development 16 (9), 2355-2370, 2023 | 4 | 2023 |
| The Influence of Sea Surface Temperature Reemergence on Marine Stratiform Cloud A Geiss, R Marchand, LA Thompson Geophysical Research Letters 47 (9), e2020GL086957, 2020 | 3 | 2020 |
| The use of automated feature extraction for diagnosing double inter-tropical convergence zones A Geiss, G Levy Computers & geosciences 46, 73-76, 2012 | 2 | 2012 |
| Exploring Randomly Wired Neural Networks for Climate Model Emulation W Yik, SJ Silva, A Geiss, D Watson-Parris Artificial Intelligence for the Earth Systems 2 (4), 220088, 2023 | 1 | 2023 |
| Dynamics of double inter-tropical convergence zones over the western tropical Indian Ocean and their relation to the Indian summer monsoon A Geiss, G Levy, R Kumar Authorea Preprints, 2022 | 1 | 2022 |
| The Usage of Observing System Simulation Experiments and Reinforcement Learning to Optimize Experimental Design and Operation JC Hardin, WI Gustafson Jr, A Varble, J Marquis, J Comstock, A Geiss, ... Pacific Northwest National Lab.(PNNL), Richland, WA (United States …, 2021 | 1 | 2021 |
| Development of a full-scale connected U-Net for reflectivity inpainting in spaceborne radar blind zones F King, C Pettersen, CG Fletcher, A Geiss Artificial Intelligence for the Earth Systems, 2024 | | 2024 |
| NeuralMie (v1. 0): An Aerosol Optics Emulator A Geiss, PL Ma Geoscientific Model Development Discussions 2024, 1-27, 2024 | | 2024 |
| Self-Supervised Cloud Classification A Geiss, MW Christensen, AC Varble, T Yuan, H Song Artificial Intelligence for the Earth Systems 3 (1), e230036, 2024 | | 2024 |
| Development of a Deep Full-Scale Connected U-Net for Reflectivity Inpainting in Spaceborne Radar Blind Zones F King, C Pettersen, C Fletcher, A Geiss 40th Conference on Radar Meteorology, 2023 | | 2023 |
| Bridging the Capacity Across the Globe for Ocean Satellite Remote Sensing Applications: The PORSEC Experience K Nimit, S Vignudelli, C Gabriel, G Levy, N Hazrina Idris, C Wilson, ... 44th COSPAR Scientific Assembly. Held 16-24 July 44, 3085, 2022 | | 2022 |
| Deep Learning for Ensemble Forecasting A Geiss, J Hardin, S Silva, WI Gustafson Jr, A Varble, J Fan Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | | 2021 |
| Observed and Modeled Cloud Responses to Climate Variability AV Geiss University of Washington, 2020 | | 2020 |
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