Primary productivity and its regulation in the Arabian Sea during 1995

Barber, Richard T.; Marra, John; Bidigare, Robert C; Codispoti, Louis A; Halpern, David; Johnson, Zackary I.; Latasa, Mikel; Goericke, Ralf; Smith, Sharon L.

doi:10.1016/s0967-0645(00)00134-x

Cited by 225 publications

(117 citation statements)

References 119 publications

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“…3, left panel). Modelled primary production reaches values between 530 and 860 mg C m − 2 d − 1 during these times of the year, which is about half of the 1995 rates of 1000-1500 mg C m − 2 d − 1 reported by Barber et al (2001) for the central Arabian Sea. The vertically integrated chlorophyll contents modelled alongside with phytoplankton biomass lie in the lower range of 1995 measurements (Kinkade et al, 2001; 15-45 mg m − 2 ) from 15.5 N, 61.5 E. We regard this as an acceptable result, considering the high lateral variability of stocks and production in the eastern and central Arabian Sea and the limitations of a 1-D model.…”

Section: Phytoplankton and Detritus Particle Size Distribution And Smentioning

confidence: 71%

Modelling aggregate formation and sedimentation of organic and mineral particles

Barkmann

Schäfer-Neth

Balzer

2010

Journal of Marine Systems

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A one-dimensional model "ADAM" is presented that allows the prognostic computation of the interactions between mineral particles (dust) and biologically formed aggregates. The model couples a 7-compartment biogeochemical component (NO 3 , NH 4 , phytoplankton aggregates, zooplankton, detritus, carbon, and chlorophyll) and a 4-compartment component for the tracing of mineral particles: single free particles in the water, particles aggregated with phytoplankton, incorporated in zooplankton, and attached to detritus. It resolves both annual and daily cycles of plankton and the fate of dust from eolian import into the ocean via biological activity, aggregation and disaggregation to sedimentation at the sea floor. The model results suggest that particle scavenging is essentially occurring in the mixed layer, where biological activity and shear aggregation regulate the formation of the aggregates. The aggregates interact intensively with the suspended pool of dust particles, and sink through the upper main thermocline with increasing speed. Particle break up and organic matter degradation are important mechanisms for particle cycling in the intermediate and deeper layers. The model predicts an 80% decrease of the annual carbon flux between 100 m and 3000 m depth. The vertical profile of Al-contents in suspended particulates and the annual average vertical flux of particulate organic matter are fairly well reproduced by the model, as well as the seasonal cycles of carbon and dust fluxes in the ocean interior.

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Section: Phytoplankton and Detritus Particle Size Distribution And Smentioning

confidence: 71%

Modelling aggregate formation and sedimentation of organic and mineral particles

Barkmann

Schäfer-Neth

Balzer

2010

Journal of Marine Systems

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“…Other high productive regions in the northern Indian Ocean are associated with both high nutrients and pCO 2 due to vertical mixing, such as upwelling zones (Goyet et al, 1998;Barber et al, 2001). In contrast, fluvial inputs of nutrients decrease pCO 2 levels on one hand and high pCO 2 driven by heterotrophy in the inner estuary enhances pCO 2 levels on other hand along the west coast of Bay of Bengal.…”

Section: Discussionmentioning

confidence: 99%

Sources and sinks of CO<sub>2</sub> in the west coast of Bay of Bengal

Sarma¹,

Krishna²,

Rao³

et al. 2012

Tellus B: Chemical and Physical Meteorology

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A B S T R A C TObservations at high spatial resolution (100 )50 km 2 ) in the western continental shelf of Bay of Bengal during southwest monsoon, when peak discharge occurs into the Bay through major rivers of the Indian subcontinent, revealed that freshwater discharge exerts dominant control on the inorganic carbon components in surface waters. Lower than present atmospheric pCO 2 levels were found in the northwestern (NW) than southwestern (SW) coastal Bay of Bengal. The pCO 2 levels in the peninsular rivers were an order of magnitude higher (5000Á 17000 matm) than that of atmospheric levels and glacial river Ganges ( Â500 matm). The discharge from the peninsular rivers has a stronger influence in the SW region, whereas the Ganges river discharge has a stronger influences in the NW region. Source or sink of CO 2 in the shelf region depends on the discharged river characteristics and the East India Coastal Current that distributes discharged water along the coast. Although during northeast monsoon, the situation is briefly reversed and the region acts as a sink, and on annual scale, the western Bay of Bengal acts as a source for atmospheric CO 2 than hitherto hypothesised.

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“…Productivity values were integrated to the 1% light depth. Integrations to the 0.1% light depth were on average only ∼3.5% higher than those integrated to the 1% light depth, and the portion of the photosynthetic profile from the 1% light depth to the 0.1% light depth showed very little spatial or temporal variation (Barber et al, 2001). …”

Section: Climpp Datasetmentioning

confidence: 98%

Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean

Friedrichs¹,

Carr²,

Barber³

et al. 2009

Journal of Marine Systems

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227

179

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Depth-integrated primary productivity (PP) estimates obtained from satellite ocean color-based models (SatPPMs) and those generated from biogeochemical ocean general circulation models (BCGCMs) represent a key resource for biogeochemical and ecological studies at global as well as regional scales. Calibration and validation of these PP models are not straightforward, however, and comparative studies show large differences between model estimates. The goal of this paper is to compare PP estimates obtained from 30 different models (21 SatPPMs and 9 BOGCMs) to a tropical Pacific PP database consisting of similar to 1000 C-14 measurements spanning more than a decade (1983-1996). Primary findings include: skill varied significantly between models, but performance was not a function of model complexity or type (i.e. SatPPM vs. BOGCM); nearly all models underestimated the observed variance of PR specifically yielding too few low PP (< 0.2 g Cm-2 d(-1)) values; more than half of the total root-mean-squared model-data differences associated with the satellite-based PP models might be accounted for by uncertainties in the input variables and/or the PP data; and the tropical Pacific database captures a broad scale shift from low biomassnormalized productivity in the 1980s to higher biomass-normalized productivity in the 1990s, which was not successfully captured by any of the models. This latter result suggests that interdecadal and global changes will be a significant challenge for both SatPPMs and BOGCMs. Finally, average root-mean-squared differences between in situ PP data on the equator at 140 degrees W and PP estimates from the satellite-based productivity models were 58% lower than analogous values computed in a previous PP model comparison 6 years ago. The success of these types of comparison exercises is illustrated by the continual modification and improvement of the participating models and the resulting increase in model skill. (C) 2008 Elsevier BY. All rights reserved

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Primary productivity and its regulation in the Arabian Sea during 1995

Cited by 225 publications

References 119 publications

Modelling aggregate formation and sedimentation of organic and mineral particles

Modelling aggregate formation and sedimentation of organic and mineral particles

Sources and sinks of CO<sub>2</sub> in the west coast of Bay of Bengal

Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean

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