All delivrables that have the public status.
The FP7 R&D project OSS2015 fills a “green gap” of the EU Copernicus Marine Service, the goal being to provide reliable now-cast, forecast and climatological trends of bio-chemical properties of the ocean mixed/eutrophic layer. Research fits in the continuation of the current services delivered with Earth Observations from space, whether the ESA DUE GlobColour program, the ESA funded CCI Ocean Colour program, or the EU funded precursor to the Copernicus Marine Service to deliver information on marine ecosystems to decision-makers, in the so-called “ecoservices” ’ framework. It builds on the background of the ESA downstream services such as Coastwatch and Marcoast, and the EU R&D projects such as Aquamar and Azimut for outlining the users’ needs; OSS2015 is a data service prototype, including a new web-based platform for “on-demand” processing which opens the door to an ocean colour collaborative platform.
The OSS2015 prototype service has been operated during the third year of the project: - A complete reprocessing of the GlobColour products augmented by additional products requested by users like Normalised Fluorescence Line Height, has been performed as part of the demonstration - New marine products covering the period from 1997 to 2104 have been generated and can be accessed through the OSS2015 data access service. The document describes the products and their format, as well as the data access procedure.
A demonstration of how a calibrated and validated physical-biogeochemical modeling system can be used to improve satellite imagery is given. Moderate Resolution Imaging Spectroradiometer (MODIS) derived chlorophyll-a data were assimilated into the model together with in-situ physical and biogeochemical measurements, allowing dynamical interpolation of the satellite derived chlorophyll-a to fill in regions with missing data due to the cloud cover. Furthermore, the 3-D dynamical model also allows for vertical extrapolation of the surface values obtained by satellites to subsurface depths. Therefore, accurate and realistic 4-D chlorophyll fields based upon satellite data and near synoptic observations were generated.
SLA signed between MyOcean and OSS2015