Development of a Pre-Operational Coastal Ocean Model for Mississippi Sound and Bight

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Kemal Cambazoglu, Brandy Armstrong, Jerry Wiggert This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4551186/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 23 Nov, 2024 Read the published version in Ocean Dynamics → Version 1 posted 11 You are reading this latest preprint version Abstract The Mississippi Sound and Bight is a complex coastal system with shallow estuarine waters that are highly vulnerable to the effects of climate change and anthropogenic influences. In order to further our understanding of the system and provide natural resource managers and decision-makers with science-based guidance, a pre-operational coastal ocean forecast system has been developed using the Coupled Ocean Atmosphere Wave Sediment Transport Modeling System (COAWST). The COAWST application for Mississippi Bight (msbCOAWST) can be run in hindcast mode, pre-operational daily mode, or forecast mode and relies on other operational models including the National Water Model (NWM) for river forcing, the High Resolution Rapid Refresh model (HRRR) for atmospheric forcing, and the Navy Coastal Ocean Model (NCOM) for open boundary forcing. msbCOAWST is being validated using data from a variety of in situ measurements that quantify coastal processes, including tides, and water quality (i.e. temperature and salinity). The highest model skill is obtained for temperature followed by water levels and salinity. msbCOAWST has been used to provide guidance for quantifying how freshwater influences derived from river diversion operations impact habitat suitability for oysters. The model is currently being extended to include waves, sediment transport, and biogeochemistry and in the future will be linked with ecological models so as to comprehensively reveal consequential environmental concerns such as harmful algal blooms and the onset and persistence of hypoxia, with their associated impacts on the region’s fisheries and shellfisheries. COAWST Gulf of Mexico river diversions coastal restoration marine resource management coastal operational modeling Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 23 Nov, 2024 Read the published version in Ocean Dynamics → Version 1 posted Editorial decision: Revision requested 19 Aug, 2024 Reviews received at journal 19 Aug, 2024 Reviews received at journal 24 Jul, 2024 Reviews received at journal 22 Jul, 2024 Reviewers agreed at journal 26 Jun, 2024 Reviewers agreed at journal 26 Jun, 2024 Reviewers agreed at journal 24 Jun, 2024 Reviewers invited by journal 17 Jun, 2024 Editor assigned by journal 10 Jun, 2024 Submission checks completed at journal 09 Jun, 2024 First submitted to journal 08 Jun, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4551186","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":317699626,"identity":"868b3305-df11-4476-a4d5-276edacfa10f","order_by":0,"name":"M. 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