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Data are available through the following services:

Service Resource Locator
CW Viewer (Data Portal) https://coastwatch.noaa.gov/cw_html/cwViewer.html

THREDDS

 

8-Day Composite

https://cwcgom.aoml.noaa.gov/thredds/SEASCAPE_8DAY.html?dataset=SEASCAPE_8DAY 

Monthly Composite

https://cwcgom.aoml.noaa.gov/thredds/SEASCAPE_MONTH.html?dataset=SEASCAPE_MONTH

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The CoastWatch Seascape Pelagic Habitat Classification product (CW Seascapes) identifies spatially explicit water masses with particular biogeochemical features using a model and satellite-derived measurements.  The seascape product is generated as monthly and 8-day composites at 5 km spatial resolution.

US and global Marine Biodiversity Observation Network (MBON) partnered with US Integrated Ocean Observation System (IOOS), NOAA/OAR/AOML and NOAA/NESDIS/STAR to develop and routinely generate “seascapes” products and to make them available on CoastWatch.  Derived from dynamic fields of satellite and modelled data, seascapes are classified and used as a biogeographical framework to describe dynamic, changing ocean habitats for MBON and other applicaitons. CW Seascapes provide information about the quality and extent of different oceanographic habitats or features and can be used to assess and predict the different planktonic and fisheries communities that reside within seascapes. Current CW Seascapes products include monthly and 8-day time steps at 5 km resolution.  High resolution (1 km) case studies are planned on a case by case basis as through cooperation with US and global MBON partners.

Table of Seascape ID number definitions.  SST, sea surface temperature; SSS sea surface salinity; ADT, absolute dynamic topography; ICE, Ice; CDOM, chromophoric dissolved organic material; CHLA, chlorophyll-a; NFLH, normalized fluorescent line height; NaN, not a number.

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KeyDescription
Platform/Sensor

Inputs from satellite sensors:  MODIS, SSMIS GOES, POES, SSMIS

Ocean physics model: HYCOM

Measurement/Products

Pelagic Seascape Categories

Short Name

seascapes

Processing Level

Model

Spatial Coverage

Global

Temporal Coverage

Monthly and 8-Day 

Resolution

9 km

Data Provider

NOAA CoastWatch/Ocean/Watch/PolarWatch, Atlantic OceanWatch Node (NOAA/OAR/AOML)

Documentation: 
  • Kavanaugh, M.T., Church, M.J., Davis, C.O., Karl, D.M., Letelier, R.M. and Doney, S.C., 2018. ALOHA from the Edge: Reconciling three decades of in situ Eulerian observations and geographic variability in the North Pacific Subtropical Gyre. Frontiers in Marine Science5, p.130.
  • Muller-Karger, F., Digna Rueda-Roa, Francisco Chavez, Maria Kavanaugh, and Mitchell A. Roffer. 2017. Megaregions Among the Large Marine Ecosystems of the Americas. Environmental Development. http://dx.doi.org/10.1016/j.envdev.2017.01.005.
  • Kavanaugh, M.T., Oliver, M J., Chavez, F. P., Letelier, R.M., Muller-Karger, F.E., Doney, S.C. 2016. Seascapes as a new vernacular for ocean monitoring, management and conservation. ICES Journal of Marine Science. doi:10.1093/icesjms/fsw086.
  • Kavanaugh, M.T., Hales, B., Saraceno, M., Spitz, Y.H., White, A.E. and Letelier, R.M., 2014. Hierarchical and dynamic seascapes: A quantitative framework for scaling pelagic biogeochemistry and ecology. Progress in Oceanography120, pp.291-304.
  • Muller-Karger, F.E., M.T. Kavanaugh, E. Montes, W.M. Balch, M. Breitbart, F.P. Chavez, S.C. Doney, E.M. Johns, R.M. Letelier, M.W. Lomas, H.M. Sosik, and A.E. White. 2014. A framework for a marine biodiversity observing network within changing continental shelf seascapes. Oceanography 27(2):18–23, http://dx.doi.org/10.5670/oceanog.2014.56.