Introduction to the Modeling of Marine Ecosystems: Volume 72 (Elsevier Oceanography Series)

W. Fennel,T. Neumann

ISBN 10: 0444633634 / ISBN 13: 9780444633637

Edité par Elsevier Science 2014-09-01, 2014

A propos de cet article

N° de réf. du vendeur 6666-ELS-9780444633637

Détails bibliographiques

Titre : Introduction to the Modeling of Marine ...

Éditeur : Elsevier Science 2014-09-01

Date d'édition : 2014

Reliure : Hardcover

Etat : New

Edition : 2ème Édition

A propos de ce titre

Synopsis :

Introduction to the Modelling of Marine Ecosystems, Second Edition provides foundational information on the construction of chemical and biological models - from simple cases to more complex biogeochemical models and life cycle resolving model components. This step-by-step approach to increasing the complexity of the models allows readers to explore the theoretical framework and become familiar with the models even when they have limited experience in mathematical modeling. Introduction to the Modelling of Marine Ecosystems shows how biological model components can be integrated into three dimensional circulation models and how such models can be used for numerical experiments.

À propos des auteurs:

Dr. Wolfgang Fennel is professor emeritus of physical oceanography at the University of Rostock and he was head of the section of physical oceanography of the Baltic Sea Research Institute, (IOW). His background is theoretical oceanography and he is a specialist in oceanic circulation and wave processes. He is also working on the coupling of physics and marine biology. Wolfgang Fennel was President of SCOR (2008-2012) and is now Past SCOR President until 2016. He promoted interdisciplinary co-operation.

Dr. Thomas Neumann is senior scientist working in the section of physical oceanography in the Baltic Sea Research Institute, (IOW). After an initial oceanographic career in small scale processes in the sea he turned his scientific interests in the 1990ties to coupled physical and biological modeling. He is one of the leading experts in coupled physical biogeochemical models.