- 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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Custom Support to Space Florida
Our team recently reconfigured the office space and network for an incoming Space Life Science Lab tenant, Vaxxinity. This work included major renovations to the lab and office space, and new cable runs for their modified space. The team completed this large task within a four week period! Our Florida IT group works closely with…
New Heavily Desired High Resolution Land Cover Data for the U.S.
The National Oceanic and Atmospheric Administration recently announced the launch of the long desired high-resolution coastal land cover data. This highly anticipated data are available for most coastal areas of the U.S., including Alaska and the U.S. territories. CSS employee owners contributed to the release of this data set by participating in production activities and…
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…