Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery

1 code implementation • 4 Feb 2022 • Trey McNeely, Galen Vincent, Kimberly M. Wood, Rafael Izbicki, Ann B. Lee

We prove that type I error control is guaranteed as long as the distribution of the label series is well-estimated, which is made easier by the extensive historical data for binary TC event labels.

Time Series Time Series Analysis

Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones

no code implementations • 24 Sep 2021 • Trey McNeely, Galen Vincent, Rafael Izbicki, Kimberly M. Wood, Ann B. Lee

Tropical cyclone (TC) intensity forecasts are issued by human forecasters who evaluate spatio-temporal observations (e. g., satellite imagery) and model output (e. g., numerical weather prediction, statistical models) to produce forecasts every 6 hours.

Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning

no code implementations • 7 Oct 2020 • Trey McNeely, Niccolò Dalmasso, Kimberly M. Wood, Ann B. Lee

Tropical cyclone (TC) intensity forecasts are ultimately issued by human forecasters.

Time Series Time Series Analysis