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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/1085

Title: Low Oxygen Water (LOW) variability in the Benguela system: key processes and forcing scales relevant to forecasting
Authors: Monteiro, PMS
Van der Plas, AK
Keywords: Marine resources
Fisheries habitats
Benguela shelf
Remote forcing
Issue Date: Sep-2006
Publisher: Elsevier B.V
Citation: Monteiro, PMS and Van der Plas, AK. 2006. Low Oxygen Water (LOW) variability in the Benguela system: key processes and forcing scales relevant to forecasting. In: Benguela: predicting a large marine ecosystem, Vol. 14, 19p.
Abstract: LOW variability in the Benguela is governed by varying scales of remote and local forcing linked to both Equatorial and Cape Basin systems. The nature of these nonlinear interactions is not clearly understood because scales are large and their elucidation through observational programmes alone is not cost effective. Models are required to characterise the complexity of the most important forcing and response scales in both time and space. It will be necessary to approach this as a multi-phase process, beginning with a diagnostic emphasis which evolves to a forecasting system through hindcasting focussed specifically on large scale events of the past. It is clear that not all the variability scales are amenable to forecasting either because the driving process scales are too uncertain or because they are of little management of policy interest. Two scales were defined as being of interest to both these criteria: Short term (7 day) scale related to forecasting conditions leading to the walkout or mortality of rock lobster in the southern Benguela; Medium term (2 month) forecasting of the intensification of the remote forcing of ETSA derived LOW which has a bearing on the Namibian hake fishery These two scales are discussed in detail in the companion Chapter 13.
Description: Copyright: 2006 Elsevier B.V
URI: http://hdl.handle.net/10204/1085
Appears in Collections:Environmental and resource economics
Coastal and marine systems
Ecosystems processes & dynamics
General science, engineering & technology

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