Robert van der Drift and Paul O'Gorman

Oct, 2025

Jing, Renzhi; Gao, Jianxiong; Cai, Yunuo; Xi, Dazhi; Zhang, Yinda; Fu, Yanwei; Emanuel, Kerry; Diffenbaugh, Noah; Bendavid, Eran

Paper, Data

September, 2024

Justin Finkel, Paul A. O’Gorman

Paper, Data

February, 2024

Anamitra Saha, Sai Ravela

Paper, Code

June, 2024

Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin

Paper, Model

December, 2022

Justin Finkel, Paul A. O'Gorman

Paper, Data

Paper

The code to run the climate model and the rare event algorithm is publicly accessible in two repositories:

1. “jf_conv_gray_smooth” available at https://doi.org/10.5281/zenodo.16878347 contains the core Fortran model code

2. “TEAMS” available at https://doi.org/10.5281/zenodo.16878339 contains Python code for the rare event algorithm that wraps the Fortran code as well as some other example systems (including Lorenz‐96).

Sandeep Chinta, C. Adam Schlosser, Xiang Gao, Kevin Hodges

Paper, Code

Jan 2025

Timothy Cronin

Paper, Code

January 2025

Liying Qiu , Rahman Khorramfar, Saurabh Amin, Michael F. Howland

Paper, Code

December 2024

Datasets, Code, and Models

Dependence of convective precipitation extremes on near-surface relative humidity Journal of Climate

TC-GEN: Data-driven tropical cyclone downscaling using machine learning-based high-resolution weather model

Trying-Early Adaptive Multilevel Splitting Algorithm

Statistical-Physical Adversarial Learning from Data and Models for Extreme Rainfall Downscaling

JPoNG - an Open-source Tool for Joint Infrastructure Planning

Boosting ensembles for statistics of tails at conditionally optimal advance split times

Rare event sampling for moving targets: extremes of temperature and daily precipitation in a general circulation model

Future Changes in Winter-Time Extratropical Cyclones over South Africa from CORDEX-CORE Simulations

An Analytic Model for Tropical Cyclone Outer Winds

Decarbonized Energy System Planning with High-Resolution Spatial Representation of Renewables Lowers Cost