Map Home
Type / to search with text or keywords
/
keyboard shortcut: Type "/" on your keyboard for a quick search
Search button
Loading...
Loading...
Scroll left
Grants
Citations
H-Index
Patents
News
Books
Scroll right
Collapse sidebar
Data issues & feedback
Adjust height of sidebar
KMap
People
Adjust height of sidebar
KMap
Profile
Kim Wood
Member of the Graduate Faculty | Associate Professor, Hydrology / Atmospheric Sciences
Hydrology & Atmospheric Sci
Full Page
Overview
Research
More
Publications
(30)
Recent
Influence of the Madden‐Julian Oscillation on Continental United States Hurricane Landfalls
2023
weather patterns,
hurricanes,
climate dynamics,
ocean-atmosphere interactions,
meteorology
The world meteorological organization Tenth International Workshoon tropical cyclones IWTC-10) A summary
2023
meteorology,
tropical cyclones,
international workshop,
world meteorological organization,
summary
Structural Forecasting for Short-Term Tropical Cyclone Intensity Guidance
2023
meteorology,
storm intensity,
structural engineering,
meteorological forecasting,
tropical cyclones
Detecting distributional differences in labeled sequence data with application to tropical cyclone satellite imagery
2023
climatology,
machine learning,
image analysis,
meteorology,
data analysis
Evaluation of Experimental High-Resolution Model Forecasts of Tropical Cyclone Precipitation using Object-Based Metrics
2023
tropical cyclones,
precipitation,
high-resolution models,
forecast evaluation,
meteorology
Trends in Global Tropical Cyclone Activity: 1990–2021
2022
tropical cyclones,
climate change,
weather patterns,
global trends,
natural disasters
Earlier onset of North Atlantic hurricane season with warming oceans
2022
climate change,
hurricanes,
ocean warming,
weather patterns,
natural disasters
A Hyperactive End to the Atlantic Hurricane Season
2022
hurricanes,
climate,
weather,
natural disasters,
climatology
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
2021
tropical cyclones,
convective evolution,
rapid intensification,
distributional differences,
identifying
Structural forecasting for tropical cyclone intensity prediction: Providing insight with deelearning
2020
tropical cyclones,
intensity prediction,
structural forecasting,
deep learning,
weather prediction