These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online
mapping viewer depicting potential water level increase and decrease in the coastal areas of the Great Lakes. The lakes included are: Erie, Huron, Michigan,
Ontario, St. Clair, and Superior. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level
change and potential coastal impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses to help users examine
multiple scenarios and prioritize actions. The Lake Level Viewer may be accessed at https://coast.noaa.gov/llv.
These data consist of 13 water extent polygons and 13 water depth rasters (3 m resolution, depth values in meters) that show the potential water level when
the water level is decreased from 0 feet to -6 feet (resulting in potential land exposure) and when water level is increased from 0 to +6 feet (resulting
in potential flooding). These data are based on the each lake's long term average water level over the period of record (1913-2008). More information on
the long term average water level can be found at https://www.glerl.noaa.gov//pubs/fulltext/2013/20130021.pdf,
https://www.glerl.noaa.gov//pubs/fulltext/2013/20130022.pdf, and the Great Lakes Water Level Dashboard (https://www.glerl.noaa.gov/data/dashboard/GLWLD.html).
The process used to produce the data can be described as a bathtub approach. The process uses two source data sets to derive the final water extent polygons
and water depth rasters for each iteration of water level decrease or increase: the Digital Elevation Model (DEM) of the area and each lake's long term
average water level over the period of record (1918-2017) at the time of data set creation. Data can be downloaded at https://coast.noaa.gov/llv.
The model used to produce these data does not account for erosion, subsidence, or any future construction. Water levels are as they would appear during calm
conditions (excludes wind-driven effects). As with all remotely sensed data, all features should be verified with a site visit. The data are provided as is,
without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and
performance of these data is assumed by the user. This data should be used strictly as a planning reference and not for navigation, permitting, or other
legal purposes.
About this Dataset
Title | NOAA Office for Coastal Management (OCM) Lake Level Data: -6 Feet to +6 Feet Water Level Change |
---|---|
Description | These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential water level increase and decrease in the coastal areas of the Great Lakes. The lakes included are: Erie, Huron, Michigan, Ontario, St. Clair, and Superior. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change and potential coastal impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses to help users examine multiple scenarios and prioritize actions. The Lake Level Viewer may be accessed at https://coast.noaa.gov/llv. These data consist of 13 water extent polygons and 13 water depth rasters (3 m resolution, depth values in meters) that show the potential water level when the water level is decreased from 0 feet to -6 feet (resulting in potential land exposure) and when water level is increased from 0 to +6 feet (resulting in potential flooding). These data are based on the each lake's long term average water level over the period of record (1913-2008). More information on the long term average water level can be found at https://www.glerl.noaa.gov//pubs/fulltext/2013/20130021.pdf, https://www.glerl.noaa.gov//pubs/fulltext/2013/20130022.pdf, and the Great Lakes Water Level Dashboard (https://www.glerl.noaa.gov/data/dashboard/GLWLD.html). The process used to produce the data can be described as a bathtub approach. The process uses two source data sets to derive the final water extent polygons and water depth rasters for each iteration of water level decrease or increase: the Digital Elevation Model (DEM) of the area and each lake's long term average water level over the period of record (1918-2017) at the time of data set creation. Data can be downloaded at https://coast.noaa.gov/llv. The model used to produce these data does not account for erosion, subsidence, or any future construction. Water levels are as they would appear during calm conditions (excludes wind-driven effects). As with all remotely sensed data, all features should be verified with a site visit. The data are provided as is, without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This data should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes. |
Modified | 2025-04-04T13:48:49.248Z |
Publisher Name | N/A |
Contact | N/A |
Keywords | EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL PROCESSES > FLOODING , EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL PROCESSES > SEA LEVEL CHANGES , EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) , CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GREAT LAKES , Bathymetry/Topography , Shoreline , elevation , flooding , inundation , water level decrease , water level increase , water level rise , Great Lakes , Illinois , Indiana , Lake Erie , Lake Huron , Lake Michigan , Lake Ontario , Lake Superior , Michigan , Minnesota , New York , Ohio , Pennsylvania , United States , Wisconsin , DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce , Inundation , climatologyMeteorologyAtmosphere , elevation , environment , oceans |
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