Title
The seasonal cycle of surface chlorophyll in the Peruvian upwelling system: A modelling study
Date Issued
01 October 2008
Access level
metadata only access
Resource Type
journal article
Author(s)
Publisher(s)
Elsevier
Abstract
The seasonal variability of surface chlorophyll in the northern Humboldt Current System is studied using satellite data, in situ observations and model simulations. The data show that surface chlorophyll concentration is highest in austral summer and decreases during austral winter, in phase opposition with coastal upwelling intensity. A regional model coupling ocean dynamics and biogeochemical cycles is used to investigate the processes which control this apparently paradoxical seasonal cycle. Model results suggest that the seasonal variability of the mixed layer depth is the main controlling factor of the seasonality. In winter, the mixed layer deepening reduces the surface chlorophyll accumulation because of a dilution effect and light limitation. In summer, biomass concentrates near the surface in the shallow mixed layer and nitrate limitation occurs, resulting in a biomass decrease in the middle of summer. Intense blooms occur during the spring restratification period, when winter light limitation relaxes, and during the fall destratification period, when the surface layer is supplied with new nutrients. Model sensitivity experiments show that the seasonal variations in insolation and surface temperature have little impact on the surface chlorophyll variability. © 2008 Elsevier Ltd. All rights reserved.
Start page
167
End page
176
Volume
79
Issue
April 2
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos
Scopus EID
2-s2.0-56749164304
Source
Progress in Oceanography
ISSN of the container
00796611
Sponsor(s)
Model simulations were performed on NEC-SX5 and NEC-SX8 IDRIS (Institut du Développement et de Ressources en Informatique Scientifique) computers. J. Ledesma was financially supported by the DSF (Département Soutien et Formation) of IRD (Institut de Recherche pour le Développement). The collaborative work between IRD and IMARPE was sponsored by the IRD ATI “Sistema de Humboldt”. We also thank Cyril Lathuilière from LOCEAN for extracting and processing SeaWiFS data.
Sources of information:
Directorio de Producción Científica
Scopus