- Community Spotlight, Success Stories, Uncategorized
- Satellite Science & Environmental Intelligence
Advancing Severe Weather Predictions with Artificial Intelligence

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.

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Installing Environmental Monitoring Stations
Our field crews installed/updated two environmental monitoring stations in remote locations in the Pacific Northwest. Multiple types of sensors were installed including air and soil temperature, precipitation, soil moisture and soil redox potential. These stations provide data for designing and evaluating soil remediation projects for U.S. Environmental Protection Agency’s Office of Research and Development. Installing…

Training Marine Mammal Programs to Use Drones to Collect Dolphin and Whale Respiratory Health Data
CSS employee owner and Marine Mammal Drone Specialist supports NOAA’s National Centers for Coastal Ocean Science (NCCOS) Marine Mammal Health Assessment team with collecting respiratory health data from marine mammals in local waterways. Using specialized drones equipped with petri dishes provides a non-invasive method to collect exhaled breath (i.e. blow) samples from dolphins and whales.…

Contributing to Wind Energy Area Designations
The Bureau of Ocean Energy Management (BOEM) recently announced two Wind Energy Areas (WEAs) in the Gulf of Mexico. The WEAs are located off the coasts of Galveston, Texas, and Lake Charles, Louisiana and have the potential to power nearly three million homes. BOEM collaborated with the National Oceanic and Atmospheric Administration (NOAA) to identify…