All Highlights – CASCADE

The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project advances the Nation’s ability to identify and project extremes and how they are impacted by environmental drivers.

Using Machine Learning-based Weather Model Emulators to Quantify Weather Extremes

Simulating Hurricane Katrina in the Simple Cloud-Resolving E3SM Atmosphere Model v1

Design and Generation of Huge Ensembles of Weather Forecasts Using Spherical Fourier Neural Operators

The effect of African easterly wave suppression by periodicity on Atlantic tropical cyclones

Multiple Changepoint Detection for Non-Gaussian Time Series

Performance Evaluation of Weather@home2 Simulations over West African Region

Unprecedented Heatwaves: Statistical Analysis and Upper Bounds

Drivers of Atlantic tropical cyclogenesis: African easterly waves and the environment

A flexible class of priors for orthonormal matrices with basis function-specific structure

Understanding Runoff by Atmospheric Rivers