ArcGIS REST Services Directory Login
JSON

Layer: Circulation mag. (m/s) (ID: 0)

Name: Circulation mag. (m/s)

Display Field: FOOTPRINT.STArea()

Type: Raster Layer

Geometry Type: null

Description: Circulation magnitude (m/s) summarized for spring 2006-2012 for the offshore. Model data from the Great Lakes Coastal Forecasting System, NOAA Great Lakes Environmental Research Laboratory. The NOAA Great Lakes Coastal Forecast System (GLCFS) uses near-real-time atmospheric observations and numerical weather prediction forecast guidance to produce 3-D Nowcasts and forecasts of water temperature and currents, and 2-D Nowcasts and forecasts of water levels of the Great Lakes. This system was originally called the Great Lakes Coastal Forecasting system (GLCFS) from NOAA’s Great Lakes Environmental Research Laboratory (GLERL). A thorough description of the history, operation, and validation of GLCFS can be found in Chu et al. 2011 (full reference below). Data was obtained from NOAA-GLERL for years 2006-2012 in NetCDF format. The data was processed using Python 2.7 and the netCDF4 module downloaded from (http://code.google.com/p/netcdf4-python/). The data was converted from NetCDF to .csv for each time step and sigma level. The data was then averaged into actual depth bins from the sigma layers, and then temporally averaged for each horizontal grid cell. The final averaged layer was saved in ASCII format and imported into ArcGIS for Desktop 10.1 ArcGRID File Geodatabase format. Circulation magnitude (m/s) summary found in this layer is depth averaged across all sigma levels, and temporally averaged for the spring or summer seasons, where spring is defined as April 1 - May 31 and summer is July 1 - August 31. The orignal data varies in resolution (~2km to ~10km) by lake and temporally, all circulation data was attributed to the 1800m GLAHF grid.

Service Item Id: 9e71d004079e4475b492c6157c521776

Copyright Text: 1) Chu, P. Y., J. G. W. Kelley, G. V. Mott, A. Zhang, and G. A. Lang. 2011. Development, implementation, and skill assessment of the NOAA/NOS Great Lakes Operational Forecast System. Ocean Dynamics 61(9):1305-1316 (DOI:10.1007/s10236-011-0424-5) (available at http://www.glerl.noaa.gov/pubs/fulltext/2011/20110016.pdf). 2) The Great Lakes Aquatic Habitat Framework (GLAHF) project has been funded by the Great Lakes Fishery Trust and led by Dr. Catherine Riseng, PI at the University of Michigan School of Natural Resources and Environment, with partners from Michigan Department of Natural Resources-Institute for Fisheries Research, NOAA Great Lakes Environmental Research Laboratory, International Joint Commission, Michigan State University, The Nature Conservancy, Ontario Ministry of Natural Resources, University of Minnesota-Duluth, U.S. Fish & Wildlife Service, U.S. Geological Survey and many collaborating partners in both the USA and Canada. More information about this project can be found at https://www.glahf.org/.

Default Visibility: true

MaxRecordCount: 0

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 144000000

Max Scale: 4000

Supports Advanced Queries: false

Supports Statistics: false

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
Drawing Info: Advanced Query Capabilities:
HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields: None


Supported Operations:   Query   Query Attachments   Generate Renderer   Return Updates

  Iteminfo   Thumbnail   Metadata