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Wave Exposure Model for Grand Bay, Mississippi: Input and Validation Datasets

May 20, 2019

Coastal marsh are highly dynamic and ecologically important ecosystems that are subject to pervasive and often harmful disturbances, including shoreline erosion. Shoreline erosion can result in an overall loss of coastal marsh, particularly in estuaries with moderate- or high-wave energy. Not only can waves can be important physical drivers of shoreline change but can also influence shore-proximal vertical accretion through sediment delivery. For these reason, estimates of wave energy can provide a quantitative measure of wave effects on marsh shorelines. Since wave energy is difficult to measure at all locations, scientists and managers often rely on hydrodynamic models to estimate wave properties at different locations. The Wave Exposure Model (WEMo) is a simple tool that uses linear wave theory to estimate wave energy characteristics for enclosed and semi-enclosed estuaries. The interpretation of hydrodynamic models is improved if model results can be validated against measured data. The data presented in this publication are input and validation data for modeled and observed mean wave height for two temporary oceanographic stations established by the USGS from October 2016 to January 2017 in Grand Bay National Estuarine Research Reserve, Mississippi.

Publication Year 2019
Title Wave Exposure Model for Grand Bay, Mississippi: Input and Validation Datasets
DOI 10.5066/P9Z4ZPU3
Authors Kathryn Smith, Joseph F Terrano
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization St. Petersburg Coastal and Marine Science Center