Events

Satellite water vapor products help forecasters track moisture, predict heavy precipitation, and warn of dangerous flooding worldwide.

Three-dimensional cloud and smoke visualizations help pilots identify weather hazards and make more informed flight decisions.

Ground-based and satellite observations work together to improve profiling of the planetary atmospheric boundary layer (PABL).

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.