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Christopher J Slocum
Christopher J Slocum
Physical Scientist, NOAA Center for Satellite Applications and Research
Verified email at noaa.gov - Homepage
Title
Cited by
Cited by
Year
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
842016
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
56*2021
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
292021
Quantification and exploration of diurnal oscillations in tropical cyclones
JA Knaff, CJ Slocum, KD Musgrave
Monthly Weather Review 147 (6), 2105-2121, 2019
252019
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
232022
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
172016
Dynamics of the ITCZ boundary layer
AO Gonzalez, CJ Slocum, RK Taft, WH Schubert
Journal of the Atmospheric Sciences 73 (4), 1577-1592, 2016
152016
Tropical cyclone boundary layer shocks
CJ Slocum, GJ Williams, RK Taft, WH Schubert
arXiv arXiv:1405.7939, 2014
92014
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
52023
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
42022
Using geostationary imagery to peer through the clouds revealing hurricane structure
CJ Slocum, J Knaff
100th American Meteorological Society Annual Meeting, 2020
22020
Diabatic and frictional forcing effects on the structure and intensity of tropical cyclones
CJ Slocum
Colorado State University. Libraries, 2013
22013
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
12023
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
12023
Lightning-based tropical cyclone rapid intensification guidance
CJ Slocum, JA Knaff, SN Stevenson
Weather and Forecasting 38 (7), 1209-1227, 2023
12023
Barotropic instability during eyewall replacement
CJ Slocum, RK Taft, JP Kossin, WH Schubert
Meteorology 2 (2), 191-221, 2023
12023
Using AI to Quantify Uncertainty in Tropical Cyclone Genesis
MR Baldwin, C Slocum, M McGraw
103rd AMS Annual Meeting, 2023
12023
Baroclinic effects on the distribution of tropical cyclone eye subsidence
WH Schubert, RK Taft, CJ Slocum
Frontiers in Earth Science 10, 1062465, 2022
12022
What Can Machine Learning Methods Tell Us About the Tropical Cyclone Intensity Forecasting Problem?
M McGraw, K Musgrave, J Knaff, C Slocum, I Ebert-Uphoff
35th Conference on Hurricanes and Tropical Meteorology, 2022
12022
Rapid intensification probabilities based on a rapid intensification deterministic ensemble (RIDE)
J Knaff, CR Sampson, C Slocum
35th Conference on Hurricanes and Tropical Meteorology, 2022
12022
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