ERC for Collaborative Adaptive Sensing of the Atmosphere
The Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) is a multi-sector partnership among academia, industry, and government dedicated to engineering revolutionary weather-sensing networks. These innovative networks will save lives and property by detecting the region of the lower atmosphere that is currently below conventional radar range—mapping storms, winds, rain, temperature, humidity, and the flow of airborne hazards. CASA brings together a multidisciplinary group of engineers, computer scientists, meteorologists, sociologists, and graduate and undergraduate students, along with industry and government partners, to conduct fundamental research, develop enabling technologies, and deploy prototype engineering systems based on a new paradigm: Distributed Collaborative Adaptive Sensing (DCAS) networks.
Microelectronics and IT
Microelectronics, Sensing, and IT
Location
Lead Institution
Start Year
Center News and Achievements
Locations
Additional Information
Focus
CASA strives to Revolutionize our ability to observe, understand, and predict hazardous weather by creating distributed collaborative adaptive sensing (DCAS) networks that sample the atmosphere where and when end-user needs are greatest.
Graduation Date
Education Web Page
Research Opportunities for Undergrads
Student Leadership Council
ERC for Collaborative Adaptive Sensing of the Atmosphere
The Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) is a multi-sector partnership among academia, industry, and government dedicated to engineering revolutionary weather-sensing networks. These innovative networks will save lives and property by detecting the region of the lower atmosphere that is currently below conventional radar range—mapping storms, winds, rain, temperature, humidity, and the flow of airborne hazards. CASA brings together a multidisciplinary group of engineers, computer scientists, meteorologists, sociologists, and graduate and undergraduate students, along with industry and government partners, to conduct fundamental research, develop enabling technologies, and deploy prototype engineering systems based on a new paradigm: Distributed Collaborative Adaptive Sensing (DCAS) networks.
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LocationAmherst, Massachusetts
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Lead InstitutionUniversity of Massachusetts-Amherst
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Start Year |
Website |
Fact Sheet |
Core Partners |
FocusCASA strives to Revolutionize our ability to observe, understand, and predict hazardous weather by creating distributed collaborative adaptive sensing (DCAS) networks that sample the atmosphere where and when end-user needs are greatest. |
Graduation Date |
Education Web Page |
Research Opportunities for Undergrads |
Student Leadership Council |
Center News and Achievements
Locations
ERC for Collaborative Adaptive Sensing of the Atmosphere
The Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) is a multi-sector partnership among academia, industry, and government dedicated to engineering revolutionary weather-sensing networks. These innovative networks will save lives and property by detecting the region of the lower atmosphere that is currently below conventional radar range—mapping storms, winds, rain, temperature, humidity, and the flow of airborne hazards. CASA brings together a multidisciplinary group of engineers, computer scientists, meteorologists, sociologists, and graduate and undergraduate students, along with industry and government partners, to conduct fundamental research, develop enabling technologies, and deploy prototype engineering systems based on a new paradigm: Distributed Collaborative Adaptive Sensing (DCAS) networks.
Microelectronics and IT
Microelectronics, Sensing, and IT
Location
Lead Institution
Start Year
Center News and Achievements
Additional Information
Focus
CASA strives to Revolutionize our ability to observe, understand, and predict hazardous weather by creating distributed collaborative adaptive sensing (DCAS) networks that sample the atmosphere where and when end-user needs are greatest.