64 citations · 199 across the 8 of their papers we have counts for
9 papers
FireGen: Quantifying Wildfire Risk by Simulation
Allyson Hineman, William Kleiber, Stephan Sain +1
Wildfire regimes in Northern California exhibit strong spatio-temporal variability, heavy-tailed fire size distributions, and sensitivity to climatic conditions. We develop a hiera…
Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks
Sweta Rai, Alexis Hoffman, Soumendra Lahiri +3
The heavy-tailed behavior of the generalized extreme-value distribution makes it a popular choice for modeling extreme events such as floods, droughts, heatwaves, wildfires, etc. H…
Stochastic Tropical Cyclone Precipitation Field Generation
William Kleiber, Stephan Sain, Luke Madaus +1
Tropical cyclones are important drivers of coastal flooding which have severe negative public safety and economic consequences. Due to the rare occurrence of such events, high spat…
Reduced Basis Kriging for Big Spatial Fields
Karl T. Pazdernik, Ranjan Maitra, Douglas Nychka +1
In spatial statistics, a common method for prediction over a Gaussian random field (GRF) is maximum likelihood estimation combined with kriging. For massive data sets, kriging is c…
Spatio-temporal exceedance locations and confidence regions
Joshua P. French, Stephan R. Sain
An exceedance region is the set of locations in a spatial domain where a process exceeds some threshold. Examples of exceedance regions include areas where ozone concentrations exc…
Parameter tuning for a multi-fidelity dynamical model of the magnetosphere
William Kleiber, Stephan R. Sain, Matthew J. Heaton +3
Geomagnetic storms play a critical role in space weather physics with the potential for far reaching economic impacts including power grid outages, air traffic rerouting, satellite…