| Application of machine learning techniques for regional bias correction of snow water equivalent estimates in Ontario, Canada F King, AR Erler, SK Frey, CG Fletcher Hydrology and Earth System Sciences 24 (10), 4887-4902, 2020 | 24 | 2020 |
| Evaluation of lidar-derived snow depth estimates from the iPhone 12 pro F King, R Kelly, CG Fletcher IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 19 | 2022 |
| Toward Efficient Calibration of Higher‐Resolution Earth System Models CG Fletcher, W McNally, JG Virgin, F King Journal of Advances in Modeling Earth Systems 14 (7), e2021MS002836, 2022 | 8 | 2022 |
| Using CloudSat‐CPR Retrievals to Estimate Snow Accumulation in the Canadian Arctic F King, CG Fletcher Earth and Space Science 7 (2), e2019EA000776, 2020 | 8 | 2020 |
| New opportunities for low-cost LiDAR-derived snow depth estimates from a consumer drone-mounted smartphone F King, R Kelly, CG Fletcher Cold Regions Science and Technology 207, 103757, 2023 | 6 | 2023 |
| A Centimeter-Wavelength Snowfall Retrieval Algorithm Using Machine Learning F King, G Duffy, CG Fletcher Journal of Applied Meteorology and Climatology 61 (8), 1029-1039, 2022 | 5 | 2022 |
| Seasonal estimates and uncertainties of snow accumulation from CloudSat precipitation retrievals G Duffy, F King, R Bennartz, CG Fletcher Atmosphere 12 (3), 363, 2021 | 5 | 2021 |
| Validating CloudSat-CPR retrievals for the estimation of snow accumulation in the Canadian Arctic F King University of Waterloo, 2019 | 5 | 2019 |
| Using CloudSat‐derived snow accumulation estimates to constrain gridded snow water equivalent products F King, CG Fletcher Earth and Space Science 8 (10), e2021EA001835, 2021 | 3 | 2021 |
| DeepPrecip: a deep neural network for precipitation retrievals F King, G Duffy, L Milani, CG Fletcher, C Pettersen, K Ebell Atmospheric Measurement Techniques 15 (20), 6035-6050, 2022 | 2 | 2022 |
| New opportunities for low-cost LiDAR-derived snow depth estimates from a consumer drone-mounted smartphone F King, R Kelly, CG Fletcher Available at SSRN 4258568, 2022 | 1 | 2022 |
| 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 |
| 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 |
| Developing a radar-based machine learning snowfall retrieval algorithm F King University of Waterloo, 2023 | | 2023 |
| How To Have Our Cake And Eat It Too: Combining Geophysical Models With Machine Learning CG Fletcher, W McNally, J Virgin, F King Fall Meeting 2022, 2022 | | 2022 |
| DeepPrecip: A deep neural network for retrievals of precipitation F King, G Duffy, L Milani, CG Fletcher, C Pettersen, K Ebell Frontiers in Hydrology 2022, 436-03, 2022 | | 2022 |
| Evaluation of Gridded Snow Water Equivalent Products Using Cloudsat-Cpr Snowfall Estimates F King, C Fletcher IEEE International Geoscience and Remote Sensing Symposium 21228096, 2021 | | 2021 |
Richard KellyUniversity of WaterlooVerified email at uwaterloo.ca
