Publications (8)
Estimating Concurrent Climate Extremes: A Conditional Approach
Whitney K. Huang, Adam H. Monahan, Francis W. Zwiers
Simultaneous concurrence of extreme values across multiple climate variables can result in large societal and environmental impacts. Therefore, there is growing interest in underst…
How close are time series to power tail Lévy diffusions?
Jan Gairing, Michael A. Högele, Tania Kosenkova +1
This article presents a new and easily implementable method to quantify the so-called coupling distance between the law of a time series and the law of a differential equation driv…
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
This paper explores the application of emerging machine learning methods from image super-resolution (SR) to the task of statistical downscaling. We specifically focus on convoluti…
Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails
Mitchell Krock, Julie Bessac, Michael L. Stein +1
In traditional extreme value analysis, the bulk of the data is ignored, and only the tails of the distribution are used for inference. Extreme observations are specified as values…
Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data
Fei Lu, Nils Weitzel, Adam H. Monahan
While nonlinear stochastic partial differential equations arise naturally in spatiotemporal modeling, inference for such systems often faces two major challenges: sparse noisy data…
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian +1
Stochastic parameterizations account for uncertainty in the representation of unresolved sub-grid processes by sampling from the distribution of possible sub-grid forcings. Some ex…
Teleconnected warm and cold extremes of North American wintertime temperatures
Mitchell L. Krock, Adam H. Monahan, Michael L. Stein
Current models for spatial extremes are concerned with the joint upper (or lower) tail of the distribution at two or more locations. Such models cannot account for teleconnection p…
Stochastic averaging of dynamical systems with multiple time scales forced with α-stable noise
William F. Thompson, Rachel A. Kuske, Adam H. Monahan
Stochastic averaging allows for the reduction of the dimension and complexity of stochastic dynamical systems with multiple time scales, replacing fast variables with statistically…