Adam H. Monahan

According to our database, Adam H. Monahan authored at least 4 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling.

Kiri Daust, Adam H. Monahan

CoRR, 2024

2023

Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales.

Nicolaas J. Annau, Alex J. Cannon, Adam H. Monahan

CoRR, 2023

2019

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model.

David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan

CoRR, 2019

2015

Stochastic Averaging of Dynamical Systems with Multiple Time Scales Forced with α-Stable Noise.

William F. Thompson, Rachel Kuske, Adam H. Monahan

Multiscale Model. Simul., 2015