ORCID Profile
0000-0003-4289-4404
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Publisher: Springer Science and Business Media LLC
Date: 30-05-2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: Copernicus GmbH
Date: 12-03-2018
Abstract: Abstract. Shelf and coastal sea processes extend from the atmosphere through the water column and into the seabed. These processes reflect intimate interactions between physical, chemical, and biological states on multiple scales. As a consequence, coastal system modelling requires a high and flexible degree of process and domain integration this has so far hardly been achieved by current model systems. The lack of modularity and flexibility in integrated models hinders the exchange of data and model components and has historically imposed the supremacy of specific physical driver models. We present the Modular System for Shelves and Coasts (MOSSCO www.mossco.de), a novel domain and process coupling system tailored but not limited to the coupling challenges of and applications in the coastal ocean. MOSSCO builds on the Earth System Modeling Framework (ESMF) and on the Framework for Aquatic Biogeochemical Models (FABM). It goes beyond existing technologies by creating a unique level of modularity in both domain and process coupling, including a clear separation of component and basic model interfaces, flexible scheduling of several tens of models, and facilitation of iterative development at the lab and the station and on the coastal ocean scale. MOSSCO is rich in metadata and its concepts are also applicable outside the coastal domain. For coastal modelling, it contains dozens of ex le coupling configurations and tested set-ups for coupled applications. Thus, MOSSCO addresses the technology needs of a growing marine coastal Earth system community that encompasses very different disciplines, numerical tools, and research questions.
Publisher: Elsevier BV
Date: 04-2018
Publisher: Frontiers Media SA
Date: 16-08-2022
DOI: 10.3389/FMARS.2022.975414
Abstract: Ecosystem models need to capture bio ersity, because it is a fundamental determinant of food web dynamics and consequently of the cycling of energy and matter in ecosystems. In oceanic food webs, the plankton compartment encompasses by far most of the biomass and ersity. Therefore, capturing plankton ersity is paramount for marine ecosystem modelling. In recent years, many models have been developed, each representing different aspects of plankton ersity, but a systematic comparison remains lacking. Here we present established modelling approaches to study plankton ecology and ersity, discussing the limitations and strengths of each approach. We emphasize their different spatial and temporal resolutions and consider the potential of these approaches as tools to address societal challenges. Finally, we make suggestions as to how better integration of field and experimental data with modelling could advance understanding of both plankton bio ersity specifically and more broadly the response of marine ecosystems to environmental change, including climate change.
Location: France
No related grants have been discovered for Onur Kerimoglu.