Assessment of MERIS ocean color data products for European seas

Author:

Zibordi G.,Mélin F.,Berthon J.-F.,Canuti E.

Abstract

Abstract. The accuracy of marine data products from the Medium Resolution Imaging Spectrometer (MERIS) operated on board the Envisat platform is investigated with the aid of in situ geographically distributed measurements from different European seas. The assessment focuses on standard products from the 2012 data update commonly identified as 3rd Reprocessing. Results indicate atmospherically corrected data affected by a negative bias of several tens percent at the 413 nm center wavelength, significantly decreasing to a few percent at 560 nm and increasing again at 665 nm. Such an underestimate at the blue center wavelengths leads to an average overestimate of the algal-1 MERIS pigment index largely exceeding 100% for the considered European seas. A comparable overestimate is also observed for the algal-2 pigment index independently determined from top-of-atmosphere radiance through the application of neural networks.

Publisher

Copernicus GmbH

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Reference45 articles.

1. Ahmad, Z., Franz, B. A., McClain, C. R., Kwiatkowska, E. J., Werdell,J., Shettle, E. P., and Holben, B. N.: New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans, Appl. Opt., 49, 5545–5560, 2010.

2. Antoine, D. and Morel, A.: A multiple scattering algorithm for atmospheric correction of remotely sensed ocean color (MERIS instrument): Principle and implementation for atmospheres carrying various aerosols including absorbing ones , Int. J. Remote Sens., 20, 1875–1916, 1999.

3. Antoine, D., d'Ortenzio, F., Hooker, S. B., Bécu, G., Gentili, B., Tailliez, D., and Scott, A. J.: Assessment of uncertainty in the ocean reflectance determined by three satellite ocean color sensors (MERIS, SeaWiFS and MODIS-A) at an offshore site in the Mediterranean Sea (BOUSSOLE project), J. Geophys. Res., 113, C07013, https://doi.org/10.1029/2007JC004472, 2008.

4. Antoine, D., Bourg, L., Brockmann C., Doerffer, R., Fischer, J., Moore, J., Santer, R., and Zagolski, F.: Reference Model for MERIS Level 2 Processing – Third MERIS reprocessing: Ocean Branch, Report n. PO-TN-MEL-GS-0026-5 Rev. 2, available at: http://envisat.esa.int/instruments/meris/rfm/, 106 pp., 2012.

5. Attila, J., Koponen, S., Kallio, K., Lindfors, A., Kaitala, S., and Ylöstalo, P.: MERIS Case II water processor comparison on coastal sites of the northern Baltic Sea, Remote Sens. Environ., 128, 138–149, 2013.

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