KEYWORDS: Digital signal processing, Data modeling, Satellites, Image processing, Data acquisition, Satellite imaging, Data conversion, Data archive systems, Climatology, Meteorology
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.
The present work develops in the framework of the EU-ADIOS project for providing an estimate of the seasonal occurrence of Saharan dust events over the Mediterranean Sea. SeaDAS True Color (TC) images are used for monitoring dust.
Dust identification has been carried out by visual inspection of TC images from 1998 up to 2002. The presence of dust, easily recognizable because of its color, is catalogued day by day. A grid representing a schematic division of the Mediterranean basin is overlaid to the TC images for a better identification and localization. The information retrieved by the cataloguing concerns space-time distribution of dust throughout the years examined.
It is not possible to retrieve the intensity of the event by looking only at the TC images. Monthly values of Saharan dust load observed for each sector of the Mediterranean Basin for the period 2001 to 2002 have been retrieved from the Aerosol Optical Thickness maps for each dust day identified by the previous analysis.
This is given in order to describe a spatial-temporal variability of the aerosol content. A brief description of the dataset, of the processing methodology and of the geophysical atmospheric products is also given.
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