Index Catalog // Deep Blue Data

Need language around using Deep Blue Data as a repository for your NIH data sharing plan? See Data Sharing Boilerplate

Start Over

Filtering by: Creator Layman, Andrew J. Depositor ssim lmas@umich.edu

Effective Fetch and Relative Exposure Index Maps for the Laurentian Great Lakes

Creator:

Mason, Lacey A., Riseng, Catherine M., Layman, Andrew J., and Jensen, Robert

Description:

Wind exposure is a key physical driver of coastal systems in aquatic environments influencing circulation and wave dynamics. A measure of wind exposure is fetch, the distance over which wind can travel across open water. In large lake systems, such as the Laurentian Great Lakes, estimating fetch has proved to be difficult due to their vast size and complex topobathymetry. Here we describe the development of two spatially discrete indicators of exposure to provide a more accurate indicator of influence of wind exposure in the nearshore of the Laurentian Great Lakes. We summarized wind data from offshore buoys and leveraged existing tools to calculate effective fetch and relative exposure index (effective fetch scaled by mean wind speed) at a 30 m grid cell resolution. We validated these models by comparing our exposure maps to the U.S. Army Corps of Engineers Wave Information Studies models and found general agreement. These exposure maps are available for public download for the years 2004-2014.

Keyword:

GLAHF, Great Lakes, waves, fetch, REI, wind exposure, and geospatial

Discipline:

Science