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| Titel |
The M3A multi-sensor buoy network of the Mediterranean Sea |
| VerfasserIn |
K. Nittis, C. Tziavos, R. Bozzano, V. Cardin, Y. Thanos, G. Petihakis, M. E. Schiano, F. Zanon |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 3, no. 2 ; Nr. 3, no. 2 (2007-05-21), S.229-243 |
| Datensatznummer |
250000924
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| Publikation (Nr.) |
 copernicus.org/os-3-229-2007.pdf |
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| Zusammenfassung |
| A network of three multi-sensor timeseries stations able to deliver real
time physical and biochemical observations of the upper thermocline has been
developed for the needs of the Mediterranean Forecasting System during the
MFSTEP project. They follow the experience of the prototype M3A system that
was developed during the MFSPP project and has been tested during a pilot
pre-operational period of 22 months (2000–2001). The systems integrate
sensors for physical (temperature, salinity, turbidity, current speed and
direction) as well as optical and chemical observations (dissolved oxygen,
chlorophyll-a, PAR, nitrate). The south Aegean system (E1-M3A) follows a
modular design using independent mooring lines and collects biochemical data
in the upper 100 m and physical data in the upper 500 m of the water column.
The south Adriatic buoy system (E2-M3A) uses similar instrumentation but on
a single mooring line and also tests a new method of pumping water samples
from relatively deep layers, performing analysis in the protected "dry"
environment of the buoy interior. The Ligurian Sea system (W1-M3A) is an
ideal platform for air-sea interaction processes since it hosts a large
number of meteorological sensors while its ocean instrumentation, with real
time transmission capabilities, is confined in the upper 50 m layer. Despite
their different architecture, the three systems have common sampling
strategy, quality control and data management procedures. The network
operates in the Mediterranean Sea since autumn 2004 collecting timeseries
data for calibration and validation of the forecasting system as well for
process studies of regional dynamics. |
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