80 citations · 548 across the 37 of their papers we have counts for
14 papers · 1 filter
Structural Forecasting for Short-term Tropical Cyclone Intensity Guidance
Trey McNeely, Pavel Khokhlov, Niccolo Dalmasso +2
Because geostationary satellite (Geo) imagery provides a high temporal resolution window into tropical cyclone (TC) behavior, we investigate the viability of its application to sho…
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
Trey McNeely, Galen Vincent, Kimberly M. Wood +2
Our goal is to quantify whether, and if so how, spatio-temporal patterns in tropical cyclone (TC) satellite imagery signal an upcoming rapid intensity change event. To address this…
Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones
Addison J. Hu, Mikael Kuusela, Ann B. Lee +2
Tropical cyclones (TCs), driven by heat exchange between the air and sea, pose a substantial risk to many communities around the world. Accurate characterization of the subsurface…
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
Niccolò Dalmasso, Galen Vincent, Dorit Hammerling +1
Climate models play a crucial role in understanding the effect of environmental and man-made changes on climate to help mitigate climate risks and inform governmental decisions. La…
Wildfire Smoke and Air Quality: How Machine Learning Can Guide Forest Management
Lorenzo Tomaselli, Coty Jen, Ann B. Lee
Prescribed burns are currently the most effective method of reducing the risk of widespread wildfires, but a largely missing component in forest management is knowing which fuels o…
Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
Trey McNeely, Ann B. Lee, Kimberly M. Wood +1
Tropical cyclones (TCs) rank among the most costly natural disasters in the United States, and accurate forecasts of track and intensity are critical for emergency response. Intens…