Pfannkuche, Olaf, Linke, Peter , Abegg, Fritz, Dullo, Wolf-Christian , Flögel, Sascha and Karstensen, Johannes and IFM-GEOMAR (2011) Ein modulares multidisziplinäres Meeresboden-Observatorium : MoLab ; Abschlußbericht ; Laufzeit: 1.5.2010 - 31.12.2010. . IFM-GEOMAR Leibniz-Institut für Meereswissenschaften an der Christian-Albrechts Universität zu Kiel , Kiel, Germany, 32 pp. DOI 10.2314/GBV:717589897.

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Abstract

Research on global change and sustainable use of marine resources requires new scientific and technological concepts based on a synoptic, spatial and time synchronized measurement of key environmental parameters. A modular multidisciplinary 4D-longterm observatory (MoLab) as contribution to this complex was designed and purchased. MoLab measures physical and biogeochemical processes in the benthic boundary layer. The modular MoLab system enables us to take up the technological challenge for highly resolved spatially and timely synchronized measurements of the complex interactions of biological, physical, chemical and geological processes in meso-scale dimensions. Molab comprises of an array of individual modules which can be arranged and composed in a flexible response to the scientific mission. The MoLab array is composed of several lander systems of different size and equipment and of oceanographic moorings. All modules carry an identical basic sensor package. The specific feature of the MoLab system is the acoustic interconnection of the modules and sensor packages. The MoLab hart core is a central communication modul, typically integrated into a mooring, which is connected to all modules of the MoLab array via an acoustic telemetry system. This is the basis for a coherent and timely synchronized data measurement. The MoLab modular concept enables us to carry out varying process studies on varying spatial and time scales in synchronized 4D-observations. This concept will lead to a more comprehensive understanding of processes as a basis for an overriding modeling in contrast to results based on the still prevailing individual snapshot observations.

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