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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">2006-2012 Internal Waves Density and Seabed Impact Maps of UK continental shelf</dc:title>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">dataset</dc:type>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">https://portal.medin.org.uk/portal/start.php?tpc=010_60d05e0ef4f8029cf4ea9ff7cdbc9e4d</dc:identifier>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/">Satellite remote sensing using a synthetic aperture radar (SAR) sensor can deliver thousands of measurements of sea surface roughness and provide systematic observations of internal wave (IW) features over many years. We processed ENVISAT ASAR sensor data acquired in 2006-2012 by the European Space Agency, to build detailed maps of internal wave occurrence and climatology for the UKCS. Up to a hundred SAR scenes per month covered the region of interest, over 3,400 in total, a volume of data that cannot be processed manually.
 We developed a new methodology for automated processing of satellite images, detection of IW features and combining the processed scenes into monthly composites and climatologies of IW occurrence. These IW occurrence maps have been applied to estimate the impact of IWs on the seabed in the UKCS. Regions with high likelihood of seabed disturbance were identified by combining the mixed layer depth, bathymetry and IW occurrence data. Monthly and annual climatology maps of the UKCS have been produced showing the spatial and temporal variability of high and low impact regions.</dc:description>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">20171031 20170930</dc:date>
</oai_dc:dc>
