Comparison of in situ and satellite ocean color determinations of particulate organic carbon concentration in the global ocean

• Autorzy: Świrgoń M. , Stramska M.

Identyfikatory

DOI

10.1016/j.oceano.2014.09.002

• Języki publikacji: EN

Abstrakty

EN

Ocean color satellite missions have provided more than 16-years of consistent, synoptic observations of global ocean ecosystems. Surface chlorophyll concentrations (Chl) derived from satellites have been traditionally used as a metric for phytoplankton biomass. In recent years interpretation of ocean-color satellite data has progressed beyond the estimation of Chl. One of the newer ocean color products is particulate organic carbon (POC) concentration. In this paper we carry out comparisons of simultaneous satellite and in situ POC determinations. Our results indicate that the performance of the standard NASA POC algorithm (Stramski et al., 2008) is comparable to the standard empirical band ratio algorithms for Chl.

Słowa kluczowe

EN

ocean color; particulate organic carbon; Satellite oceanography

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2015
• Tom: No. 57 (1)
• Strony: 25--31
• Opis fizyczny: Bibliogr. 27 poz., tab., wykr., mapy

Twórcy

autor

Świrgoń M.

• Department of Earth Sciences, University of Szczecin, Szczecin, Poland
• Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, Sopot 81-712, Poland

autor

Stramska M.

• Department of Earth Sciences, University of Szczecin, Szczecin, Poland
• Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, Sopot 81-712, Poland

Bibliografia

• Allison, D.B., Stramski, D., Mitchell, B.G., 2010. Empirical ocean color algorithms for estimating particulate organic carbon in the Southern Ocean. J. Geophys. Res. 115, C10044, http://dx.doi. org/10.1029/2009JC006040.
• Alvain, S., Moulin, C., Dandonneau, Y., Bréon, F.M., 2005. Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery. Deep-Sea Res. I 52, 1989—2004.
• Antoine, D., Andre, J.M., Morel, A., 1996. Oceanic primary production: 2. Estimation at global scale from satellite (Coastal Zone Color Scanner) chlorophyll. Global Biogeochem. Cy. 10 (1), 56—69.
• Bailey, S.W., Werdell, P.J., 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sens. Environ. 102, 12—23.
• Behrenfeld, M.J., Boss, E., Siegel, D.A., Shea, D.M., 2005. Carbon-based ocean productivity and phytoplankton physiology from space. Global Biogeochem. Cy. 19, GB1060, http://dx.doi.org/ 10.1029/2004GB002299.
• Behrenfeld, M.J., Falkowski, P.G., 1997. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnol. Oceanogr. 42 (1), 1—20.
• Brewin, R.J.W., Hardman-Mountford, N.J., Lavender, S.J., Raitsos, D.E., Hirata, T., Uitz, J., Devred, E., Bricaud, A., Ciotti, A., Gentili, B., 2011. An intercomparison of bio-optical techniques for detecting phytoplankton size class from satellite remote sensing. Remote Sens. Environ. 115 (2), 325—339, http://dx. doi.org/10.1016/j.rse.2010.09.004.
• Bricaud, A., Babin, M., Morel, A., Claustre, H., 1995. Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: analysis and parameterization. J. Geophys. Res. 100, 13321—13332.
• Duforet-Gaurier, L., Loisel, H., Dessailly, D., Nordkvist, K., Alvain, S., 2010. Estimates of particulate organic carbon over the euphotic depth from in situ measurements, Application to satellite data over the global ocean. Deep Sea Res. I 57, 351—367.
• Gardner, W.D., 1977. Incomplete extraction of rapidly settling particles from water samplers. Limnol. Oceanogr. 22, 764—768.
• Gardner, W.D., Mishonov, A.V., Richardson, M.J., 2006. Global POC concentrations from in-situ and satellite data. Deep-Sea Res. II 53, 718—740.
• Gardner, W.D., Richardson, M.J., Carlson, C.A., Hansell, D., Mishonov, A.V., 2003. Determining true particulate organic carbon: bottles, pumps and methodologies. Deep-Sea Res. II 50, 655—674.
• Knap, A.H., Michaels, A., Close, A.R., Ducklow, H., Dickson, A.G., 1996. Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements. JGOFS Report Nr. 19, vi+170 pp.
• Kostadinov, T.S., Siegel, D.A., Maritorena, S., 2010. Global variability of phytoplankton functional types from space: assessment via the particle size distribution. Biogeosciences 7, 3239—3257.
• Legendre, P., Legendre, L., 1998. Numerical Ecology, 2nd ed. Elsevier Science, Amsterdam, 853 pp.
• Loisel, H., Nicolas, J.M., Sciandra, A., Stramski, D., Poteau, A., 2006. Spectral dependency of optical backscattering by marine particles from satellite remote sensing of the global ocean. J. Geo-phys. Res. 111, C09024.
• Maritorena, S., Siegel, D.A., Peterson, A.R., 2002. Optimal tuning of a semi-analytical model for global applications. Appl. Opt. 41, 2705—2714.
• Mobley, C.D., 1994. Light and Water. Radiative Transfer in Natural Waters. Academic Press, San Diego, CA.
• Morel, A., 1988. Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters). J. Geophys. Res. 93, 10749—10768.
• O'Reilly, J.E., Maritorena, S., Mitchell, B.G., Siegel, D.A., Carder, K. L., Garver, S.A., Kahru, M., McClain, C.R., 1998. Ocean color chlorophyll algorithms for SeaWiFS. J. Geophys. Res. 103, 24937—24953.
• O'Reilly, J.E., Maritorena, S., Siegel, D.A., et al., 2000. Ocean color chlorophyll a algorithms for SeaWiFS, OC2, and OC4: version 4. In: Hooker, S.B., Firestone, E.R. (Eds.), SeaWiFS Postlaunch Technical Report Series, vol. 11, Sea-WiFS Postlaunch Calibration and Validation Analyses, Part 3, NASA/TM-2000-206892. NASA, Greenbelt, Maryland, 9—27.
• Ostasiewicz, S., Rusnak, Z., Siedlecka, U., 2006. Statystyka: elementy teorii i zadania. Wrocław University of Economics.
• Siegel, D.A., Behrenfeld, M.J., Maritorena, S., McClain, C.R., Antoine, D., Bailey, S.W., Bontempi, P.S., Boss, E.S., Dierssen, H.M., Doney, S.C., Eplee Jr., R.E., Evans, R.H., Feldman, G.C., Fields, E., Franz, B.A., Kuring, N.A., Mengelt, C., Nelson, N.B., Patt, F.S., Robinson, W.D., Sarmiento, J.L., Swan, C.M., Werdell, P.J., Westberry, T.K., Wilding, J.G., Yoder, J.A., 2013. Regional to global assessments of phytoplankton dynamics from the SeaWiFS mission. Remote Sens. Environ. 135, 77—91.
• Siegel, D.A., Maritorena, S., Nelson, N.B., Hansell, D.A., Lorenzi- Kayser, M., 2002. Global distribution and dynamics of colored dissolved and detrital organic materials. J. Geophys. Res. 107, 3228, http://dx.doi.org/10.1029/2001JC000965.
• Stramska, M., Stramski, D., 2005. Variability of particulate organic carbon concentration in the north polar Atlantic based on ocean color observations with Sea-viewing Wide Fieldof-View Sensor (SeaWiFS). J. Geophys. Res. 111, C09003, http://dx.doi.org/ 10.1029/2004JC002762.
• Stramski, D., Reynolds, R.A., Babin, M., Kaczmarek, S., Lewis, M.R., Röttgers, R., Sciandra, A., Stramska, M., Twardowski, M.S., Franz, B.A., Claustre, H., 2008. Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans. Biogeosciences 5, 171—201.
• Woźniak, B., Ficek, D., Ostrowska, M., Majchrowski, R., Dera, J., 2007. Quantum yield of photosynthesis in the Baltic: a new mathematical expression for remote sensing applications. Oceanologia 49 (4), 527—542.