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  • 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.

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  • Success Stories
  • Safety, Health, & Environmental Compliance

Training the Next Generation of Researchers 

CSS staff support the National Institutes of Health (NIH) Division of Occupational Safety and Health by providing Safe Techniques Advance Research Science (STARS) training to summer interns. Following a pause during the pandemic, staff resumed training May 15, 2024. During the in-person STARS training, CSS staff cover key concepts from the pre-requisite NIH Lab Safety…

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  • Success Stories, Uncategorized
  • Environmental Resource Assessment & Management

Monitoring Algal Blooms for Harmful Toxins

CSS employee owners support NOAA’s National Centers for Coastal Ocean Science (NCCOS) Harmful Algal Blooms (HAB) Sensor Development Team in their efforts to detect and monitor these harmful algal blooms in coastal waters where they are likely to occur. HAB monitoring is critical for detecting harmful toxins produced by some algae. When present in over…

  • 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…