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Comparative Analysis of the Multi-sensor Global Ocean Colour Data Record : Volume 6, Issue 2 (23/07/2009)

By Djavidnia, S.

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Book Id: WPLBN0004021058
Format Type: PDF Article :
File Size: Pages 43
Reproduction Date: 2015

Title: Comparative Analysis of the Multi-sensor Global Ocean Colour Data Record : Volume 6, Issue 2 (23/07/2009)  
Author: Djavidnia, S.
Volume: Vol. 6, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Mélin, F., Hoepffner, N., & Djavidnia, S. (2009). Comparative Analysis of the Multi-sensor Global Ocean Colour Data Record : Volume 6, Issue 2 (23/07/2009). Retrieved from

Description: European Commission – Joint Research Centre, Institute for Environment and Sustainability, TP272, via Fermi, 2749, 21027, ISPRA, Italy. The extending record of ocean colour derived information, an important asset for the study of marine ecosystems and biogeochemistry, presently relies on individual satellite missions launched by several space agencies with differences in sensor design, calibration strategies and algorithms. In this study we present an extensive comparative analysis of standard products obtained from operational global ocean colour sensors (SeaWiFS, MERIS, MODIS-Aqua, MODIS-Terra), on both global and regional scales. The analysis is based on monthly mean chlorophyll-a (Chl-a) surface concentration between 2002 and 2009.

Based on global statistics, the Chl-a records appear relatively consistent. The root mean square (RMS) difference Δ between (log-transformed) Chl-a from SeaWiFS and MODIS Aqua amounts to 0.137, with a bias of 0.074 (SeaWiFS Chl-a higher). The difference between these two products and MERIS Chl-a is approximately 0.15. Restricting the analysis to 2007 only, Δ between MODIS Aqua and Terra is 0.142. This global convergence is significantly modulated regionally. Statistics for biogeographic provinces representing a partition of the global ocean, show Δ values varying between 0.08 and 0.3. High latitude regions, as well as coastal and shelf provinces are generally the areas with the largest differences. Moreover, RMS differences and biases are modulated in time, with a coefficient of variation of Δ varying between 10% and 40%, with clear seasonal patterns in some provinces.

The comparison of the province-averaged time series obtained from the various satellite products also shows a level of agreement that is geographically variable. Overall, the Chl-a SeaWiFS and MODIS Aqua series appear to have similar levels of variance and display high correlation coefficients, an agreement likely favoured by the common elements shared by the two missions. These results are degraded if the MERIS series is compared to either SeaWiFS or MODIS Aqua. An important outcome of the study is that the results of the inter-comparison analysis are variable with time and location, and therefore globally averaged statistics are not necessarily applicable on a seasonal or regional basis.

Comparative analysis of the multi-sensor global ocean colour data record

Antoine, D. and Morel, A.: A multiple scattering algorithm for atmospheric correction of remotely sensed ocean colour (MERIS instrument): Principle and implementation for atmospheres carrying various aerosols including absorbing ones, Int. J. Remote Sens., 20, 1875–1916, 1999.; Behrenfeld, M. J., Randerson, J. T., McClain, C. R., Feldman, G. C., Los, S. O., Tucker, C. J., Falkowski, P. G., Field, C. B., Frouin, R., Esaias, W. E., Kolber, D. D., and Pollack, N. H.: Biospheric primary production during an ENSO transition, Science, 291, 2594–2597, 2001.; Bélanger, S., Ehn, J. K., and Babin, M.: Impact of sea ice on the retrieval of water-leaving reflectance, chlorophyll-a concentration and inherent optical properties from satellite ocean color data, Remote Sens. Environ., 111, 51–68, 2007.; Bricaud, A., Bosc, E., and Antoine, D.: Algal biomass and sea surface temperature in the Mediterranean basin. Intercomparison of data from various satellite sensors, and implications for primary production estimates, Remote Sens. Environ., 81, 163–178, 2002.; Campbell, J. W.: The lognormal distribution as a model for bio-optical variability in the sea, J. Geophys. Res., 100, 13237–13254, 1995.; Carr, M.-E. and Kearns, E. J.: Production regimes in four Eastern Boundary Current systems, Deep-Sea Res. II, 50, 3199–3221, 2003.; Cokacar, T., Oguz, T., and Kubilay, N.: Satellite-detected early summer coccolithophore blooms and their interannual variability in the Black Sea, Deep-Sea Res. I, 1017–1031, 2004.; Cota, G. F., Wang, J., and Comiso, J. C.: Transformation of global satellite chlorophyll retrievals with a regionally tuned algorithm, Remote Sens. Environ., 90, 373–377, 2004.; Dandonneau, Y., Deschamps, P.-Y., Nicolas, J.-M., Loisel, H., Blanchot, J., Montel, Y., Thieuleux, F., and Bécu, G.: Seasonal and interannual variability of ocean color and composition of phytoplankton communities in the North Atlantic, equatorial Pacific and South Pacific, Deep-Sea Res. II, 51, 303–318, 2004.; Darecki, M. and Stramski, D.: An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea, Remote Sens. Environ., 89, 326–350, 2004.; Djavidnia, S., Mélin, F., and Hoepffner, N.: Assessment of global and regional ocean sea surface chlorophyll-a, in: European Operational Oceanography: Present and Future, Proceedings of the 4th Conference on EuroGOOS, 2005, 122–127, 2006.; Eckardt, F. D. and Kuring, N.: SeaWiFS identifies dust sources in the Namib desert, Int. J. Remote Sens., 26, 4159–4167, 2005.; Evans, R. H. and Gordon, H. R.: Coastal Zone Color Scanner system calibration: a retrospective examination, J. Geophys. Res., 99, 7293–7307, 1994.; Feldman, G. C., Kuring, N. A., Ng, C., Esaias, W. E., McClain, C. R., Elrod, J. A., Maynard, N., Endres, D., Evans, R., Brown, J., Walsh, S., Carle, M., and Podesta, G.: Ocean color: Availability of the global data set, EOS Trans. of the American Geophysical Union, 70, 634–641, 1989.; Franz, B. A., Bailey, S. W., Werdell, P. J., and McClain, C. R.: Sensor-independent approach to the vicarious calibration of satellite ocean color radiometry, Appl. Opt., 46, 5068–5082, 2007.; Franz, B. A., Kwiatkowska, E., Meister, G., and McClain, C. R.: Moderate Resolution Spectroradiometer on Terra: Limitations for ocean color applications, J. Appl. Remote Sens., 2, 023525, doi:10.1117/1.2957964, 2008.; Friedrichs, M. A. M., Carr, M.-E., Barber, R. T., Scardi, M., Antoine, A., Armstrong, R. A., Asanuma, I., Behrenfeld, M. J., Buitenhuis, E. T., Chai, F., Christian, J. R., Ciotti, A. M., Doney, S. C., Dowell, M., Dunne, J., Gentili, B., Gregg, W., Hoepffner, N., Ishizaka, J., Kameda, T., Lima, I., Marra, J., Mélin,, F., Moore, J. K., Morel, A., O'Malley, R. T., O'Reilly, J., Saba, V. S., Schmeltz, M., Smyth, T. J., Tjiputra, J., Waters, K., Westberry, T. K., and Winguth, A.: Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean, J. Mar. Sys., 76, 113–133, 2009.


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