3 papers
physics.ao-ph2026
Developing an Offshore Machine Learning Surface Layer Scheme
Susan Dettling, Sue Ellen Haupt, Thomas Brummet +3
Turbulent fluxes between the surface and the atmosphere are typically parameterized using empirically fit relationships. Here we test machine learning techniques for fitting the re…
physics.ao-ph2024
ERF: Energy Research and Forecasting Model
Aaron Lattanzi, Ann Almgren, Eliot Quon +8
High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remai…
cs.LG2023
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management
John S. Schreck, William Petzke, Pedro A. Jimenez +5
Monitoring the fuel moisture content (FMC) of vegetation is crucial for managing and mitigating the impact of wildland fires. The combination of in situ FMC observations with numer…