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                <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/person/50518.rdf" xlink:actuate="onRequest">Richard Barber</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Barber, R., Chai, F., Dugdale, R. C., Wilkerson, F., Peng, T. (2002) Model results of Si- and Fe-regulated production in the Equatorial Pacific Ocean, 2002 (U.S. JGOFS Synthesis &amp; Modeling Phase project results). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 6 November 2002) Version Date 2002-11-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3193 [access date]</gco:CharacterString>
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        <gco:CharacterString>New and export productivity regulation by Si and Fe in the Equatorial Pacific Ocean Dataset Description: &amp;lt;p&amp;gt;To identify and quantify the principal processes
that control the partitionin g of carbon among oceanic reservoirs and between
the ocean and atmosphere on local and regional scales, with a view towards
synthesis and prediction on a global scale, is a specific goal of the U.S.
JGOFS Synthesis and Modeling Project.&amp;amp;nbsp; As a contribution towards achieving
this goal, Drs. Barber, Peng, Chai, Dugdale and Wilkerson will develop
an ecosystem model for the equatorial Pacific Ocean, with a focus on how
silicate and iron affect new and export productivity and the partitioning
of carbon between the atmosphere, surface ocean and deep ocean.&amp;amp;nbsp; The
study will use an ecosystem model embedded in a state-of-the-art general
circulation model for the equatorial Pacific Ocean to investigate how new
and export productivity responds to changing physical and chemical forcing.&amp;amp;nbsp;
The domain of the model is between 30S and 30N, 120E and 70W, with real
geometry and topography, but analysis will focus on the equatorial region
from 5N to 5S.&amp;amp;nbsp; The recent upgrade of supercomputers at North Carolina
Supercomputing Center (NCSC) (CrayT90) and Arctic Region Supercomputing
Center (ARSC) (Cray-YMP) and the award of several hundred hours of CPU
time to Peng, Chai and Barber make it possible to embed an ecosystem model
with modest complexity in a high resolution, three dimensional prognostic
ocean model,and to conduct numerous experiments on the ecosystem model
structure and parameters in a timely and efficient manner.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Phase 1 of the project will modify an existing five-compartment ecosystem
model by adding three more compartments (silicate, diatoms and mesozooplanktonic
grazers) following the approach of Dugdale et al.&amp;amp;nbsp; The preliminary
objective of this three-dimensional Si/N/light model is to reproduce High&amp;amp;nbsp;
Nitrate-Low Silicate-Low Chlorophyll (HNLSLC) conditions.&amp;amp;nbsp; With size-depend
ent growth rate responses in small phytoplankton and diatoms and varying
grazing vulnerability, the role of new diatom production regulating on
Si and Fe can be thoroughly investigated.&amp;amp;nbsp; Also in Phase 1, TCO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;

and total alkalinity (ALK) will be added in order to calculate pCO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;.
The pre-industrial atmospheric CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; (280 ppm) will be used to
hindcast air-sea flux of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; in the equatorial Pacific.&amp;amp;nbsp;
New production regulating on silicate should provide a more accurate calculation
of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; compared to using nitrate as a regulating nutrient.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;In Phase 2 the effect of iron is added to the model making a, the initial
slope of the photosynthesis vs. irradiance curve, a function of iron. The
values of a are based on equatorial observations of natural and experimental
iron additions. Independently, Ks for Si(OH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;) is made a function
of iron, an effect that involves only diatoms.&amp;amp;nbsp; The `balance to bloom`
transition will be simulated with the two iron effects to reproduce the
IronEx 1 and 2 phytoplankton responses to a transient iron addition.&amp;amp;nbsp;

This modeling study will provide estimates of new and export productivity,
and a formal description of Si and Fe as regulating mechanisms in the equatorial
Pacific Ocean.&amp;amp;nbsp; When new and export productivity is modeled accurately
and validated with JGOFS studies, it will possible to predict with increased
confidence how climate change may alter, via biogenic export, maintenance
of the air-sea dpCO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and hence the ocean's uptake and release
of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;.&amp;lt;/p&amp;gt; Methods and Sampling:</gco:CharacterString>
      </gmd:abstract>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/54729.rdf" xlink:title="OCE-9712359" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9712359 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9712359</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/54772.rdf" xlink:title="OCE-9802060" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9802060 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9802060</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/54846.rdf" xlink:title="OCE-9802061" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9802061 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9802061</gmx:Anchor>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/54940.rdf" xlink:title="OCE-9802062" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-9802062 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=9802062</gmx:Anchor>
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                            <gco:CharacterString>&lt;p&gt;There were no cruises associated directly with the US JGOFS SMP. The SMP deployment refers to the project being deployed.&lt;/p&gt;
&lt;h3&gt;INTRODUCTION&lt;/h3&gt;
&lt;p&gt;The Joint Global Ocean Flux Study (JGOFS) was an international scientific program devoted to the study of the ocean biogeochemistry of carbon and related elements and the linkages of the ocean with the global carbon cycle. The U.S. JGOFS program involved a decade long, intensive field effort that included: two on-going time-series stations off Hawaii and Bermuda; a series of process studies in the North Atlantic, Equatorial Pacific, Arabian Sea, and Southern Ocean; and a Global Ocean CO&lt;sub&gt;2&lt;/sub&gt; Survey in conjunction with the World Ocean Circulation Experiment (WOCE). The resulting ocean biogeochemical data sets, together with satellite ocean color data from the NASA Sea-viewing Wide Field-of-view Sensor (SeaWiFS), formed a unique, long-term resource for the ocean community. With the completion of the field phase in the late 1990s, the U.S. JGOFS initiated a final Synthesis and Modeling Project (SMP), to build on and integrate these data sets in order to address the key scientific themes of JGOFS:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;determine the processes controlling the oceanic carbon cycle and ocean-atmosphere carbon fluxes&lt;/li&gt;
&lt;li&gt;develop improved capabilities for predicting future changes.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Specifically, the central objective of the SMP was to synthesize knowledge gained from U.S. JGOFS and related studies into a set of models to reflect the current understanding of the ocean carbon cycle and its associated uncertainties (U.S. JGOFS, 1997). The SMP was tasked to address not only the processes that control carbon partitioning among oceanic reservoirs, but also the implications for ocean/atmosphere carbon exchange. Both data synthesis and modeling proposals were encouraged with an emphasis on coordinated interaction between the two. The major elements of the program included:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Individual PI level projects&lt;/li&gt;
&lt;li&gt;Topical Working Groups&lt;/li&gt;
&lt;li&gt;Project management team (two co-coordinators and a project scientist)&lt;/li&gt;
&lt;li&gt;Data management (both distributed and centralized)&lt;/li&gt;
&lt;li&gt;Community activities (PI meetings, mini-workshops, special issues etc.).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The SMP became a full fledged program with the funding of the first SMP awards in early 1998. Funding for SMP grants was provided by the National Science Foundation (NSF), the National Aeronautical and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and Department of Energy (DOE).&lt;/p&gt;
&lt;h3&gt;PROGRAM SCOPE&lt;/h3&gt;
&lt;p&gt;Specific projects within the SMP fell into two broad categories: data synthesis and extrapolation, and modeling. There was considerable (and necessary) overlap between the two, and the overview of the projects provided below is certainly a simplification of the collective efforts of the individual researchers (details on individual SMP grants can be found at &lt;a href=&quot;http://usjgofs.whoi.edu/mzweb/syn-mod.htm&quot;&gt;http://usjgofs.whoi.edu/mzweb/syn-mod.htm&lt;/a&gt;). The scope and balance of the SMP was based on geographic region of study and investigation of biogeochemical processes.&lt;/p&gt;
&lt;h3&gt;Synthesis and Modeling Projects&lt;/h3&gt;
&lt;p&gt;The U.S. JGOFS SMP continued through the 2003-2004 time frame. As the program matured and specific initial projects were completed, the foci for the program was refined to emphasize both emerging new scientific directions and remaining unfinished elements of the original implementation plan. The SMP together with the U.S. JGOFS Steering Committee periodically assessed the program with regard to future priorities. During the active research phase, these are some of the topics identified as filling critical gaps for SMP science:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;synthesis of primary production, new production and export production (both particulate and dissolved)&lt;/li&gt;
&lt;li&gt;the mechanisms and rates of mid to deep water particle flux and remineralization as well as sediment diagenesis&lt;/li&gt;
&lt;li&gt;controls and distributions of calcium carbonate and silica production, transport and remineralization&lt;/li&gt;
&lt;li&gt;biogeochemical effects of trace metal cycling&lt;/li&gt;
&lt;li&gt;spatial and temporal extrapolation of biogeochemical flux estimates (e.g. export production) from local to basin and global scales&lt;/li&gt;
&lt;li&gt;development, evaluation and incorporation of mechanistically based, biological models for global carbon cycle simulations&lt;/li&gt;
&lt;li&gt;synthesis and modeling studies of the Arabian Sea, Southern Ocean, North Atlantic, ocean margins (with respect to the role of each in basin to global-scale carbon cycle), and the set of U.S. and international time-series stations data.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;At the local to regional scale, a series of data synthesis and food web modeling investigations explored aspects of euphotic zone production, recycling, export, transport and remineralization, and sediment cycling using the JGOFS process and time-series data base and related data sets. Individual projects concentrated, for example, on subsets of the overall JGOFS data (e.g. bacteria, mesozooplankton, HPLC pigments). Related projects focused on the distribution and dynamics of planktonic functional groups (e.g. N&lt;sub&gt;2&lt;/sub&gt; fixers, diatoms, calcifiers). The eventual aim of many of these food web related studies was to extrapolate the findings to basin and global scale and/or to develop improved process-based parameterizations that could be incorporated into regional and global models.&lt;/p&gt;
&lt;p&gt;One or more regional ecosystem modeling studies were undertaken for each of the following U.S. process/time-series study locations: Equatorial Pacific and Atlantic, Arabian Sea, Ross Sea, Bermuda, and North Atlantic. Additionally, there were four projects which concentrated on data synthesis and/or modeling for various continental margins: NW Atlantic margin, southern Caribbean, Cariaco Basin, and several coastal upwelling regions. The regional synthesis and modeling studies as well as some of the food web projects relied heavily on satellite data. Many SMP projects utilized satellite data, in particular SeaWiFS ocean color, as an integral part of both model evaluation and time/space extrapolation.&lt;/p&gt;
&lt;p&gt;On the global perspective, over a dozen synthesis groups worked on the JGOFS/WOCE global CO&lt;sub&gt;2&lt;/sub&gt; survey data with good coverage for all of the carbon related parameters (DIC, alkalinity, &lt;sup&gt;13&lt;/sup&gt;C, &lt;sup&gt;14&lt;/sup&gt;C, nutrients, oxygen, pCO&lt;sub&gt;2&lt;/sub&gt;, etc.). A coordinated global biogeochemical modeling effort was initiated as part of the international Ocean Carbon Model Intercomparison Project (OCMIP, &lt;a href=&quot;http://www.ipsl.jussieu.fr/OCMIP/&quot;&gt;http://www.ipsl.jussieu.fr/OCMIP/&lt;/a&gt;). As the name implies, this was an observation-based evaluation of some thirteen global ocean biogeochemical models of the natural and anthropogenic inorganic carbon system, biogeochemical fields (nutrients, oxygen), and related passive chemical tracers (e.g. CFCs, &lt;sup&gt;14&lt;/sup&gt;C, &lt;sup&gt;3&lt;/sup&gt;He).&lt;/p&gt;
&lt;h4&gt;Links to Related Programs Subsequent to US JGOFS SMP:&lt;/h4&gt;
&lt;p&gt;&lt;a href=&quot;http://us-ocb.org/&quot;&gt;Ocean Carbon &amp;amp; Biogeochemistry (OCB)&lt;/a&gt;&lt;br /&gt;
&lt;a href=&quot;http://coastalcarbon.pbwiki.com/&quot;&gt;North American Carbon Program (NACP) Coastal Synthesis&lt;/a&gt;&lt;br /&gt;
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