Events

PyroCAST uses NUCAPS data and AI to provide 0-12 hour probabilistic guidance for dangerous pyroCb development near wildfires.

Course hosted by The AMS Committee on Satellite Meteorology, Oceanography, and Climatology.

Deep learning is being used to enhance AMSR2 sea ice imagery, improving resolution beyond traditional methods while addressing noise challenges.

LEO satellites enhance homeland defense via high-resolution, low-latency data for improved situational awareness and forecasting.

Satellite and model data are used with machine learning to estimate fuel moisture content, improving wildfire risk monitoring across the U.S., Alaska, and Hawaii.

The forecast impact of future NOAA microwave sounders using ECMWF EDA, testing ATMS-like and SMBA instruments in various orbits.

Synthetic Aperture Radar (SAR) enables high-resolution monitoring of oceans, storms, sea ice, floods, and land change in all weather.

LEO satellite data and high-res models improve tropical cyclone forecasts, enhancing track accuracy and reducing damage and unnecessary evacuations.