NOAA ESRI Grid - predictions of relative uncertainty for sediment size in the New York offshore planning area by NOAA Biogeography Branch

Description

This dataset represents sediment size prediction uncertainty from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit mean grain size estimates represented in another raster dataset. The predictive model of mean grain size was developed building upon the data compilation and analytical framework laid out by Goff et al. (2008).

Resources

Name Format Description Link
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
0 Online Resource http://coastalscience.noaa.gov/projects/detail?key=80
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/38954.pdf
57 Offline Data http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/38954

Tags

  • environment
  • seafloor
  • ny_spatialplan
  • national ocean service
  • national centers for coastal ocean science
  • mid-atlantic
  • noaa
  • bathymetry/topography
  • long-term average determined by input data
  • spatial planning
  • new york
  • oceancommunity
  • u.s. department of commerce
  • prediction
  • doc/noaa/nos/nccos
  • new york bight
  • sediment
  • grain size
  • new york offshore planing area
  • northwest atlantic ocean
  • uncertainty
  • long island

Topics

Categories