| Using routinely available information to estimate tropical cyclone wind structure JA Knaff, CJ Slocum, KD Musgrave, CR Sampson, BR Strahl Monthly Weather Review 144 (4), 1233-1247, 2016 | 88 | 2016 |
| Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future JA Knaff, CR Sampson, ME Kucas, CJ Slocum, MJ Brennan, T Meissner, ... Tropical Cyclone Research and Review 10 (3), 125-150, 2021 | 64 | 2021 |
| Does ERA5 mark a new era for resolving the tropical cyclone environment? CJ Slocum, MN Razin, JA Knaff, JP Stow Journal of Climate 35 (21), 3547-3564, 2022 | 32 | 2022 |
| The Colorado State University Convective CLoud Outflows and UpDrafts Experiment (C 3 LOUD-Ex) SC van den Heever, LD Grant, SW Freeman, PJ Marinescu, J Barnum, ... Bulletin of the American Meteorological Society 102 (7), E1283-E1305, 2021 | 31 | 2021 |
| Quantification and exploration of diurnal oscillations in tropical cyclones JA Knaff, CJ Slocum, KD Musgrave Monthly Weather Review 147 (6), 2105-2121, 2019 | 25 | 2019 |
| Forced, balanced model of tropical cyclone intensification WH Schubert, CJ Slocum, RK Taft Journal of the Meteorological Society of Japan. Ser. II 94 (2), 119-135, 2016 | 18 | 2016 |
| Dynamics of the ITCZ boundary layer AO Gonzalez, CJ Slocum, RK Taft, WH Schubert Journal of the Atmospheric Sciences 73 (4), 1577-1592, 2016 | 15 | 2016 |
| Tropical cyclone boundary layer shocks CJ Slocum, GJ Williams, RK Taft, WH Schubert arXiv arXiv:1405.7939, 2014 | 9 | 2014 |
| Tropical cyclone precipitation, infrared, microwave, and environmental dataset (TC PRIMED) MN Razin, CJ Slocum, JA Knaff, PJ Brown, MM Bell Bulletin of the American Meteorological Society 104 (11), E1980-E1998, 2023 | 5 | 2023 |
| Aiding tropical cyclone forecasting by simulating 89-GHz imagery from operational geostationary satellites K Haynes, C Slocum, J Knaff, K Musgrave, I Ebert-Uphoff 35th Conference on Hurricanes and Tropical Meteorology, 2022 | 5 | 2022 |
| What can we learn from random forest in the context of the tropical cyclone rapid intensification problem CJ Slocum 2nd NOAA AI Workshop, 2021 | 5 | 2021 |
| ProxyVis—A Proxy for Nighttime Visible Imagery Applicable to Geostationary Satellite Observations G Chirokova, JA Knaff, MJ Brennan, RT DeMaria, M Bozeman, ... Weather and Forecasting 38 (12), 2527-2550, 2023 | 2 | 2023 |
| Lightning-based tropical cyclone rapid intensification guidance CJ Slocum, JA Knaff, SN Stevenson Weather and Forecasting 38 (7), 1209-1227, 2023 | 2 | 2023 |
| Barotropic instability during eyewall replacement CJ Slocum, RK Taft, JP Kossin, WH Schubert Meteorology 2 (2), 191-221, 2023 | 2 | 2023 |
| Using geostationary imagery to peer through the clouds revealing hurricane structure CJ Slocum, J Knaff 100th American Meteorological Society Annual Meeting, 2020 | 2 | 2020 |
| Diabatic and frictional forcing effects on the structure and intensity of tropical cyclones CJ Slocum Colorado State University. Libraries, 2013 | 2 | 2013 |
| An Automated Method to Analyze Tropical Cyclone Surface Winds from Real-Time Aircraft Reconnaissance Observations JA Knaff, CJ Slocum Weather and Forecasting 39 (2), 333-349, 2024 | 1 | 2024 |
| Documenting the Progressions of Secondary Eyewall Formations AA Cheung, CJ Slocum, JA Knaff, MN Razin Weather and Forecasting 39 (1), 19-40, 2024 | 1 | 2024 |
| A Rapid Intensification Deterministic Ensemble (RIDE) for the Joint Typhoon Warning Center’s Area of Responsibility JA Knaff, CR Sampson, A Brammer, CJ Slocum Weather and Forecasting 38 (7), 1229-1238, 2023 | 1 | 2023 |
| Using AI to Quantify Uncertainty in Tropical Cyclone Genesis MR Baldwin, C Slocum, M McGraw 103rd AMS Annual Meeting, 2023 | 1 | 2023 |
John KnaffPhysical Scientist, NOAA Center for Satellite Applications and Research在 noaa.gov 的电子邮件经过验证
