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Coastal CUBEnet: an integrated observation and modeling system for sustainable Northern Gulf of Mexico coastal areas.
- Source :
- Frontiers in Marine Science; 2024, p1-18, 18p
- Publication Year :
- 2024
-
Abstract
- The University of Southern Mississippi has developed the coastal CUBEnet environment. Coastal CUBEnet is a high-resolution, coastal ocean sensor, modeling, and data sharing web-based network that provides the environmental intelligence needed to support the complex modeling of the interlinked processes in the northern Gulf of Mexico. With near-real time data delivery via a common infrastructure, CUBEnet uses state of the art sensors to provide a set of networked measurements systems, visualization tools, and model developments to gain an understanding of the Gulf of Mexico's marine environments. CUBEnet is also a mechanism for improved human engagement with Gulf of Mexico resources and provides stake holders with the data needed to make informed coastal, environmental, and economic decisions. The Coastal CUBEnet's data environment utilizes both stationary and uncrewed mobile systems and high-resolution distributed sensors to create a networked platform across the northern coastal Gulf of Mexico. CUBEnet's modeling environment has developed an implementation of The Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) Model for the Mississippi Bight region that has been applied to investigate shore to shelf advective exchange processes, and their influence on coastal water quality conditions that support the region's prolific marine ecosystem. CUBEnet's modeling environment provides prototype modeling applications that are supported by real-time observations of key coastal environmental variables. CUBEnet's Web accessible visualization tools provide parameter fields and vertical profiles from hydrodynamic models and field observations. Nowcasts and forecast results are available for the Eastern LA coastline, MS coastline, Mobile Bay, and the West coast of Florida. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22967745
- Database :
- Complementary Index
- Journal :
- Frontiers in Marine Science
- Publication Type :
- Academic Journal
- Accession number :
- 178223996
- Full Text :
- https://doi.org/10.3389/fmars.2024.1400511