Insights
  • Community Spotlight, Success Stories, Uncategorized
  • Satellite Science & Environmental Intelligence

Advancing Severe Weather Predictions with Artificial Intelligence 

Global map shows colors of red around the equator which slowly change to dark greens near north and south poles.

As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly evaluate the benefits and capabilities of Hyperspectral Microwave Sensors (HyMS) prototypes. HyMS are instruments that gather high spectral resolution data across a wide range of wavelengths within the microwave spectrum, enabling improved atmospheric temperature, moisture, cloud and precipitation sounding, nowcasting, and numerical weather prediction. CSS staff are currently doing assessments to determine the potential improvements that can be implemented into real-time monitoring of severe meteorological events, such as hurricanes, floods, and tornados.  

These advancements will help forecasters better understand these events, where they are likely to occur, and be able to issue more advanced warnings to alert decision-makers and the public on preparations that can be made to help save property and lives. 

Learn more about hyperspectral sensor technology and read the published journal article listed below. 

E. S. Maddy, F. Iturbide-Sanchez and S. A. Boukabara, “Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All-Weather Conditions Using AI,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 4235-4246, 2024, doi: 10.1109/JSTARS.2024.3356858 

Three side by side images show Hurricane Margot estimated wind speed and surface pressure.
An estimation of surface wind and pressure from Hyperspectral Microwave Sensors, Advanced Technology Microwave Sounder, Global Forecast System (truth) from left to right.

See More CSS Insights

View All
View over a valley with a fog settled between the mountains
  • Success Stories, Uncategorized
  • Environmental Resource Assessment & Management

Monitoring Air Quality in California’s San Joaquin Valley

CSS employee owners supported the deployment and operation of the U.S. Environmental Protection Agency (EPA) air quality monitoring trailer (WEAVE COM – Western Enhanced Air quality VEhicle for COmmunity Monitoring) in California’s San Joaquin Valley in during late fall and early winter of 2024.  Elevated particulate matter (PM2.5) is frequently found throughout the valley during…

  • Success Stories
  • Environmental Resource Assessment & Management

Organizing Teams to Monitor Coastal Contaminants

For nearly 40 years NOAA’s National Mussel Watch Program has been monitoring contaminants in coastal waters in over 400 sites around the U.S. by testing sediment and bivalves, such as oysters and mussels. A CSS employee owner organizes and coordinates the regional missions to collect and test samples. This includes developing a schedule and coordinating…

  • Employee Spotlight, Success Stories
  • Environmental Resource Assessment & Management

Employee Owners Nominated for NOAA Gold Medal Award 

Congratulations to CSS employee owners supporting NOAA’s National Centers for Coastal Ocean Science for their nomination for the NOAA Gold Medal Award! CSS employee owners have been critical members of the team charged with the rapid development of spatial models that aid in offshore wind planning in the Gulf of Mexico. The team has collected…