کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4549715 1627481 2014 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling the seasonal and interannual variability (2001–2010) of chlorophyll-a in the Iberian margin
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات اقیانوس شناسی
پیش نمایش صفحه اول مقاله
Modeling the seasonal and interannual variability (2001–2010) of chlorophyll-a in the Iberian margin
چکیده انگلیسی


• A 3D ocean-biogeochemical model has been implemented to the Iberian margin.
• The model satisfactorily reproduced the [Chl] variability for the decade 2001–2010.
• More than 90% of modeled and more than 85% of satellite variability were explained.
• The spring bloom alone explained 69% of modeled (46% of satellite) variability.
• The N–S opposite influence of the MLD evolution suggested two production regimes.

A modeling study of the seasonal and interannual variability of chlorophyll-a has been carried out for the period 2001–2010 along the Iberian shelf and adjacent ocean. A high resolution regional configuration of the three-dimensional Regional Ocean Modeling System (ROMS) has been used, coupled to a N2PZD2-type biogeochemical model. Chlorophyll-a concentration ([Chl]) model outputs were compared to regional objective analysis of remotely sensed [Chl] data for the same period. The spatio-temporal variability of modeled and satellite derived [Chl] was analyzed applying an individual Empirical Orthogonal Function (EOF) analysis to monthly time series. Three main modes of sea surface [Chl] variability explained more than 90% of modeled variability and more than 85% of remotely sensed variability. The first EOF accounted for the spring phytoplankton bloom (March–April). The second EOF was related to the spring–summer coastal upwelling season (April–September). The third EOF showed a recurrent [Chl] minimum in winter coinciding with the maximum vertical mixing (February) for the northern part of the region. The influence of the hydrographic conditions on [Chl] variability was explored through a cross-correlation analysis of the three EOFs and an assortment of physical descriptors given by the model: namely the mixing/stratification cycles and the occurrence of coastal upwelling.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Sea Research - Volume 93, October 2014, Pages 133–149
نویسندگان
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