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Volume 8, issue 1
Earth Syst. Sci. Data, 8, 235-252, 2016
https://doi.org/10.5194/essd-8-235-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 8, 235-252, 2016
https://doi.org/10.5194/essd-8-235-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  03 Jun 2016

03 Jun 2016

A compilation of global bio-optical in situ data for ocean-colour satellite applications

André Valente1, Shubha Sathyendranath2, Vanda Brotas1, Steve Groom2, Michael Grant2, Malcolm Taberner3, David Antoine4,5, Robert Arnone6, William M. Balch7, Kathryn Barker8, Ray Barlow9, Simon Bélanger10, Jean-François Berthon11, Şükrü Beşiktepe12, Vittorio Brando13,14, Elisabetta Canuti11, Francisco Chavez15, Hervé Claustre16, Richard Crout17, Robert Frouin18, Carlos García-Soto19,20, Stuart W. Gibb21, Richard Gould17, Stanford Hooker22, Mati Kahru18, Holger Klein23, Susanne Kratzer24, Hubert Loisel25, David McKee26, Brian G. Mitchell18, Tiffany Moisan27, Frank Muller-Karger28, Leonie O'Dowd29, Michael Ondrusek30, Alex J. Poulton31, Michel Repecaud32, Timothy Smyth2, Heidi M. Sosik33, Michael Twardowski34, Kenneth Voss35, Jeremy Werdell22, Marcel Wernand36, and Giuseppe Zibordi11 André Valente et al.
  • 1Marine and Environmental Sciences Centre (MARE), University of Lisbon, Lisbon, Portugal
  • 2Plymouth Marine Laboratory, Plymouth, PL1 3DH, UK
  • 3EUMETSAT, Eumetsat-Allee 1, 64295 Darmstadt, Germany
  • 4Sorbonne Universités, UPMC Univ. Paris 06, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-mer, 06238, France
  • 5Remote Sensing and Satellite Research Group, Department of Physics, Astronomy and Medical Radiation Sciences, Curtin University, Perth, WA 6845, Australia
  • 6University of Southern Mississippi, Stennis Space Center, Kiln, MS, USA
  • 7Bigelow Laboratory for Ocean Sciences, East Boothbay, ME, USA
  • 8ARGANS Ltd, Plymouth, UK
  • 9Bayworld Centre for Research and Education, Cape Town, South Africa
  • 10Département de biologie, chimie et géographie, Université du Québec à Rimouski, Rimouski (Québec), Canada
  • 11European Commission, Joint Research Centre, Ispra, Italy
  • 12Institute of Marine Science and Technology, Dokuz Eylul University, Izmir, Turkey
  • 13CSIRO Oceans and Atmosphere, Canberra, Australia
  • 14CNR IREA, Milan, Italy
  • 15Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA
  • 16Laboratoire d'Océanographie de Villefranche (LOV), Sorbonne Universités, UPMC Univ Paris 06, INSU-CNRS, 181 Chemin du Lazaret, 06230 Villefranche-sur-Mer, France
  • 17Naval Research Laboratory, Stennis Space Center, Kiln, MS, USA
  • 18Scripps Institution of Oceanography, University of California, San Diego, CA, USA
  • 19Spanish Institute of Oceanography (IEO), Corazón de María 8, 28002 Madrid, Spain
  • 20Plentziako Itsas Estazioa/Euskal Herriko Unibetsitatea (PIE/EHU), Areatza z/g, 48620 Plentzia, Spain
  • 21Environmental Research Institute, North Highland College, University of the Highlands and Islands, Thurso, Scotland, UK
  • 22NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 23Operational Oceanography Group, Federal Maritime and Hydrographic Agency, Hamburg, Germany
  • 24Department of Ecology, Environment and Plant Sciences, Frescati Backe, Stockholm University, 106 91 Stockholm, Sweden
  • 25Laboratoire d'Océanologie et de Géosciences, Université du Littoral – Côte d'Opale, Maison de la Recherche en Environnement Naturel, Wimereux, France
  • 26Physics Department, University of Strathclyde, Glasgow G4 0NG, Scotland, UK
  • 27NASA Goddard Space Flight Center, Wallops Flight Facility, Wallops Island, VA, USA
  • 28Institute for Marine Remote Sensing/ImaRS, College of Marine Science, University of South Florida, St. Petersburg, FL, USA
  • 29Fisheries and Ecosystem Advisory Services, Marine Institute, Rinville, Oranmore, Galway, Ireland
  • 30NOAA/NESDIS/STAR/SOCD, College Park, MD, USA
  • 31Ocean Biogeochemistry and Ecosystems, National Oceanography Centre, Waterfront Campus, Southampton, UK
  • 32IFREMER Centre de Brest, Plouzane, France
  • 33Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
  • 34Harbor Branch Oceanographic Institute, Fort Pierce, FL, USA
  • 35Physics Department, University of Miami, Coral Gables, FL, USA
  • 36Physical Oceanography, Marine Optics & Remote Sensing, Royal Netherlands Institute for Sea Research, Texel, Netherlands

Abstract. A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite-data records. Here we describe the data compiled for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The data were acquired from several sources (MOBY, BOUSSOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID, AMT, ICES, HOT, GeP&CO), span between 1997 and 2012, and have a global distribution. Observations of the following variables were compiled: spectral remote-sensing reflectances, concentrations of chlorophyll a, spectral inherent optical properties and spectral diffuse attenuation coefficients. The data were from multi-project archives acquired via the open internet services or from individual projects, acquired directly from data providers. Methodologies were implemented for homogenisation, quality control and merging of all data. No changes were made to the original data, other than averaging of observations that were close in time and space, elimination of some points after quality control and conversion to a standard format. The final result is a merged table designed for validation of satellite-derived ocean-colour products and available in text format. Metadata of each in situ measurement (original source, cruise or experiment, principal investigator) were preserved throughout the work and made available in the final table. Using all the data in a validation exercise increases the number of matchups and enhances the representativeness of different marine regimes. By making available the metadata, it is also possible to analyse each set of data separately. The compiled data are available at doi:10.1594/PANGAEA.854832 (Valente et al., 2015).

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A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite data records. Here we describe the compilation of global bio-optical in situ data (spanning from 1997 to 2012) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
A compiled set of in situ data is important to evaluate the quality of ocean-colour satellite...
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