@InProceedings{SantamariadelAngelKLMGDFM:2010:EfAmMo,
               author = "Santamaria del Angel, E and Kampel, M and Lutz, V and 
                         Millan-Nuņez, R and Gonzalez-Silvera, A and Dogliotti, A and 
                         Frouin, R and Muller-Karger, F E",
          affiliation = ": Facultad de Ciencias Marinas, Universidad Autonoma de Baja 
                         California, Ensenada, Mexico and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Instituto Nacional de Investigaci{\'o}n y 
                         Desarrollo Pesquero, Consejo Nacional de Investigaciones 
                         Cient{\'{\i}}ficas y T{\'e}cnicas, Mar del Plata, Argentina and 
                         AF: Facultad de Ciencias Marinas, Universidad Autonoma de Baja 
                         California, Ensenada, Mexico and Facultad de Ciencias Marinas, 
                         Universidad Autonoma de Baja California, Ensenada, Mexico and 
                         Instituto de Astronom{\'{\i}}a y F{\'{\i}}sica del Espacio, 
                         Consejo Nacional de Investigaciones Cient{\'{\i}}ficas y 
                         T{\'e}cnicas, Buenos Aires, Argentina and Scripps Institution of 
                         Oceanography, University of California, San Diego, San Diego, CA, 
                         USA and Institute for Marine Remote Sensing, University of South 
                         Florida, San Petersburgo, FL, USA",
                title = "The Antares network of time series stations: An effort of the 
                         Americas to monitor global change",
            booktitle = "Abstracts...",
                 year = "2010",
         organization = "Meeting of the Americas.",
             abstract = "Coastal areas of Southeast Brazil present a wealth of natural 
                         resources and are rich with diverse species, habitat types, and 
                         nutrients. They also sustain a diversity of economic activities 
                         being subject to increasing pressures such as urban development, 
                         industrial expansion, exploitation of natural resources, and 
                         tourism. With the aim of understanding and addressing the 
                         consequences of natural and anthropic forces in coastal waters of 
                         the South Brazil Bight, time-series of remote sensing and in-situ 
                         environmental observations are being developed to account for the 
                         interconnectivity of processes within the system. This paper deals 
                         with some results of a study of the bio-optical variability at the 
                         ANTARES time series station near Ubatuba (23°44S 45°00W). Ubatuba 
                         inner shelf is influenced by mesoscale cyclonic meandering of the 
                         Brazil Current (BC) system at a region with a crosscurrent 
                         transfer of slope waters into the shelf. This ecosystem is 
                         strongly influenced by the South Atlantic Central Water (SACW) 
                         upwelled locally or remotely forced from northeastern upwelling 
                         cores mainly during austral summer. In the winter, colder, less 
                         saline and relatively richer waters advects northwards along the 
                         shelf, from southern latitudes. The data set includes monthly 
                         measurements of chlorophyll-a concentration (CHL), absorption by 
                         particles, detritus, and colored dissolved organic matter (CDOM), 
                         above-water reflectance, CTD, nutrients, and primary production, 
                         collected during December 2004 - December 2008. A triangular 
                         diagram, based on the relative contribution to spectral absorption 
                         of the optically active constituents, is used to classify the 
                         waters, revealing CDOM-dominated Case 2 waters. Seasonal changes 
                         in water composition and optical properties are examined. Applying 
                         the OC2v4, OC4v4, and OC3M algorithms to the radiometric data, 
                         after proper spectral integration, the CHL estimates are generally 
                         too high compared with fluorometric determinations, which might be 
                         caused by relatively large CDOM absorption at the coastal site. 
                         Since most local processes in the coastal seas are linked to 
                         regional or even global processes it is necessary to monitor not 
                         only the area of immediate interest but also the far field in 
                         order to understand the local development. Remote sensing is the 
                         only possibility to continuously cover large areas with a high 
                         spatial and temporal resolution. Time series of satellite-derived 
                         CHL and sea surface temperature (SST) obtained by different 
                         orbital sensors (AVHRR, SeaWiFS, MODIS and MERIS) were compared. 
                         The time series analysis considered monthly averages of different 
                         periods, the largest being 1985-2008, including trend analyzes, 
                         climatological means and anomalies. In general, the sensors 
                         presented a reasonable agreement, but some discrepancies must be 
                         considered. Regarding the temporal variability it was possible to 
                         identify seasonal dynamics, inter-annual and decadal oscillations. 
                         The early results of such a comprehensive dataset indicate the 
                         potential and capabilities of the combined satellite/in situ 
                         approach in rendering a picture of bio-optical variability.",
  conference-location = "Foz do Igu{\c{c}}u",
      conference-year = "8-12 Aug. 2010",
             language = "en",
        urlaccessdate = "19 maio 2024"
}