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Title

GEOHAB modelling: linking observations to predictions: a workshop report

AuthorsMcGillicuddy Jr., Dennis J.; Glibert, Patricia M.; Berdalet, Elisa ; Edwards, Christopher; Franks, Peter J. S.; Ross, Oliver N.
Issue DateJan-2011
PublisherInternational Council of Scientific Unions. Scientific Committee on Oceanic Research
Intergovernmental Oceanographic Commission
CitationGEOHAB Report No. 8 (2011)
AbstractNow is an historic time in the field of harmful algal bloom (HAB) science. HAB problems are growing worldwide, and society’s need for understanding these phenomena is more pressing than ever. Technological advances have expanded our capabilities for observing the ocean, providing unprecedented opportunities not only for the detection of blooms, but also for observing with more accuracy the physical, chemical, and biological factors that trigger their initiation, development, and ultimate demise. However, despite these rapidly expanding observational capabilities, HAB processes will continue to be undersampled for the foreseeable future, owing to the wide range of space and time scales relevant to these oceanographic phenomena. As such, we must rely on models to help interpret our necessarily sparse observations. Such models can take many forms, ranging from conceptual models, to simple analytic formulae, or to complex numerical models that assimilate data (Franks 1997). Of course, the topic of HAB modelling is embedded within, and benefits from, the accomplishments of the broader field of physicalbiological interactions generally (Franks 1995, Hofmann and Friedrichs 2002, Blackford et al. 2007, Lynch et al. 2009).
Description89 pages
Publisher version (URL)http://www.ioc-unesco.org/hab/index.php?option=com_oe&task=viewDocumentRecord&docID=6659
URIhttp://hdl.handle.net/10261/53192
ISSN1538-182X
Appears in Collections:(ICM) Informes y documentos de trabajo
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