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    Visualizing the Census of Marine Life
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The Census of Marine Life was a global network of researchers in more than 80 nations engaged in a 10-year scientific initiative to assess and explain the diversity, distribution, and abundance of life in the oceans.  The world's first comprehensive census of the past, present, and future of life in the oceans was released in October 2010.

 

AVISO Significant Wave Height

AVISO Significant Wave Height

AVISO Significant Wave Height 
 Altimeter data are used to compute Significant Wave Heights (SWH).  Those parameters are obtained by analyzing the shape and intensity of the altimeter radar beam reflected from the sea surface (radar echo).

 

ref_aviso_swh


Use Example

In this example, you will download GIS-compatible raster images for an Aviso significant wave height product. These instructions assume local access to ESRI's ArcGIS software -  access to ArcGIS via remote desktop is also available.  These instruction require the Marine Geospatial Ecology Tools (MGET) for ArcGIS

  1. In the ArcGIS ArcToolbox window, go to Marine Geospatial Ecology Tools -> Data Products -> Aviso --> Significant Wave Height Products.
  2. Open the tool named Create Rasters for Aviso Significant Wave Height Product.
  3. Enter values for the Aviso Username and Aviso Password parameters. At the time of this writing, you must enter "aviso-users" and "grid2010" as the username and password, without quotation marks. Even if you obtained an account from Aviso for accessing their data, that account would not work here. It only worked on the Aviso FTP server; the MGET tool uses the Aviso OPeNDAP server, which had not been integrated with Aviso's security system yet.
  4. Choose an Aviso Significant Wave Height Product from the drop-down list.
  5. For the Output Workspace, select a file system directory to receive the rasters.
  6. Under the Spatiotemporal Extent options, specify a Start Date and End Date for a small range of time such as one month. If you do not specify these, the tool will download the entire Aviso dataset, which could take a long time.
  7. Run the tool.
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