Our work focuses on using satellite observations and model reanalysis datasets to develop new tools to detect, monitor, and forecast rapidly intensifying flash drought events. We also work with decision-makers to better understand and address their drought information needs.

Through a collaboration with scientists at George Mason University, researchers at SSEC and CIMSS routinely generate flood detection products from a suite of satellites including polar (SNPP & NOAA-20) and geostationary (GOES-East, GOES-West, and AHI-8) satellites in near realtime.

Hazus-MH, created in partnership with the Federal Emergency Management Administration (FEMA), uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impacts of disasters such as earthquakes, hurricane winds, and floods.

We are estimating wind vectors by applying an optical flow technique to one-minute imagery from GOES-16.

The Hazardous Weather Testbed provides a platform to test new research and develop improved methods and technologies that support the advancement of severe weather forecasts and warnings.

ProbSevere is a statistical model that predicts the likelihood of a storm producing severe weather within the next 60 minutes.

The CIMSS Tropical Cyclone Research group develops satellite-derived products to improve the analysis and prediction of tropical cyclones, leading to a better understanding of storm behavior and more timely and effective warnings.

NOAA and CIMSS scientists have developed tools to detect volcanic ash and dust clouds using data from geostationary and polar-orbiting satellites—information that is used to issue volcanic ash advisories to the aviation community.