238 citations · 251 across the 6 of their papers we have counts for
6 papers
High-resolution simulations unravel intensification mechanisms of pyrocumulonimbus clouds
Qing Wang, Cenk Gazen, Matthias Ihme +6
Pyrocumulonimbus (pyroCb) firestorms -- wildfire-generated thunderstorms -- can trigger rapid fire spread. However, the multi-physics nature of pyroCb has made their core mechanism…
FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling
Qing Wang, Matthias Ihme, Cenk Gazen +2
Background. Wildfire research uses ensemble methods to analyze fire behaviors and assess uncertainties. Nonetheless, current research methods are either confined to simple models o…
A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts
Shreya Agrawal, Rob Carver, Cenk Gazen +7
Post-processing typically takes the outputs of a Numerical Weather Prediction (NWP) model and applies linear statistical techniques to produce improve localized forecasts, by inclu…
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
Lasse Espeholt, Shreya Agrawal, Casper Sønderby +7
The problem of forecasting weather has been scientifically studied for centuries due to its high impact on human lives, transportation, food production and energy management, among…
Machine Learning for Precipitation Nowcasting from Radar Images
Shreya Agrawal, Luke Barrington, Carla Bromberg +3
High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather. As Deep Learning (DL) techniques have shown dra…
Interactive Data Integration through Smart Copy & Paste
Zachary Ives, Craig Knoblock, Steve Minton +6
In many scenarios, such as emergency response or ad hoc collaboration, it is critical to reduce the overhead in integrating data. Ideally, one could perform the entire process inte…