Fast delivery system for retrieval of near-real-time chlorophyll data in the Mediterranean Sea

Roberto Sciarra; Emanuele Bohm; Paolo de Riso; Rosalia Santoleri

doi:10.1117/12.516793

26 February 2004 Fast delivery system for retrieval of near-real-time chlorophyll data in the Mediterranean Sea

Roberto Sciarra, Emanuele Bohm, Paolo de Riso, Rosalia Santoleri

Proceedings Volume 5233, Remote Sensing of the Ocean and Sea Ice 2003; (2004) https://doi.org/10.1117/12.516793
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

The Satellite Oceanography Group (GOS) of Rome developed a system that provides satellite ocean colour images and data on the web. This meets the growing demand for near real-time ocean colour products for applications in operational oceanography. The system has been developed to produce: 1) fast delivery images for monitoring applications and operational support on oceanographic cruises; 2) accurate ocean colour products for data assimilation on ecosystem model. Real Time Images of SeaWiFS chlorophyll concentration, clouds/case I/case II water flags and true color images are obtained by processing the satellite passes using climatological ancillary data. These images are provided daily through an ad hoc automatic procedure that processes the raw satellite data and makes it available on the web within an hour after the acquisition. All the images are stored in a gallery archive organized in a calendar chart for the selection of the images to display. On the opposite, accurate chlorophyll maps for assimilation in numerical models are produced in near real time (typically after 4 days) as soon as daily meteorological ancillary data are made available on the NASA website. Each chlorophyll map is flagged for clouds or other contamination factors using the corresponding 24 quality flag maps. This implies that case-2 waters and possible contaminations of chlorophyll have been implicitly removed. This final product is binned on Adriatic model grid and made available to ADRICOSM project on GOS web site. These daily chlorophyll maps are assimilated by ADRICOSM modeling group to provide the forecasting of Adriatic ecosystem.

Citation Download Citation

Roberto Sciarra, Emanuele Bohm, Paolo de Riso, and Rosalia Santoleri "Fast delivery system for retrieval of near-real-time chlorophyll data in the Mediterranean Sea", Proc. SPIE 5233, Remote Sensing of the Ocean and Sea Ice 2003, (26 February 2004); https://doi.org/10.1117/12.516793

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KEYWORDS

Digital signal processing

Data modeling

Satellites

Image processing

Data acquisition

Data conversion

Satellite imaging

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