http://lod.bco-dmo.org/id/dataset/3196
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2010-06-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
f-ratio MATLAB routine for an adaptive food web model to explain carbon cycling in the ocean, 2004 (U.S. JGOFS Synthesis & Modeling Phase project results)
2004-09-21
publication
2004-09-21
revision
BCO-DMO Linked Data URI
2004-09-21
creation
http://lod.bco-dmo.org/id/dataset/3196
Edward Laws
University of Hawai'i
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
tableDigital
Cite this dataset as: Laws, E. (2004) f-ratio MATLAB routine for an adaptive food web model to explain carbon cycling in the ocean, 2004 (U.S. JGOFS Synthesis & Modeling Phase project results). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 21 September 2004) Version Date 2004-09-21 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3196 [access date]
f-ratio MATLAB routine for an adaptive food web model to explain carbon cycling in the ocean Dataset Description: <p>The proposed research will be the development of a food web model that can be incorporated into a global circulation model (GCM) to predict export production and to characterize the nature of the carbon exported to the interior of the ocean. The model will be similar to the food web model developed conceptually at the 1999 Synthesis and Modeling (SMP) food web workshop in Keystone, Colorado. In the model phytoplankton are envisioned as consisting of five functional groups, small phytoplankton such as <em>Synechococcus</em> and <em>Prochlorococcus</em>, diatoms, coccolithophores, <em>Phaeocystis</em>, and nitrogen fixers. Division of the phytoplankton in this manner is hypothesized to be necessary to explain the dependence of export ratios on temperature and primary production, to account for the allocation of exported carbon between calcium carbonate, particulate organic carbon, and dissolved organic carbon, and to take into account various methods of ballasting (fecal pellets, calcium carbonate, and silica) that influence the sinking and remineralisation rates of particulate carbon. A distinguishing characteristic of the model is the assumption that open ocean biological communities adapt to environmental conditions in a way that tends to maximize the stability of the steady state condition toward which the communities evolve. This same hypothesis has previously been tested with a simpler food web model in which the phytoplankton are envisioned as consisting of only two functional groups, small and large phytoplankton. The success of that previous model, which was developed with funding from the first phase of the SMP, has provided the motivation for extending this same approach to the more complex model with five functional phytoplankton groups. It is hypothesized that a stable coupled physical-biological model of the ocean will require that the biological component be adaptive. With respect to export production, specific questions to be addressed with the model will include the following:&nbsp;</p>
<ol>
<li>How much of the organic carbon is exported as dissolved organic carbon (DOC) and how much as particulate carbon (PC)&nbsp;</li>
<li>Of the PC export, how much is exported as particulate organic carbon (POC) and how much as carbonate carbon (CC)&nbsp;</li>
<li>To what extent is the exported POC ballasted by silica and/or carbonate or sequestered by incorporation into encapsulated fecal pellets&nbsp;</li>
</ol>
<p>Once the adaptive parameters in the model have been determined through steady state analysis, a time-dependent version of the model will be run to explore model behavior when the forcing functions are time dependent. Questions to be addressed with the time-dependent version will include the role of DOC export and the ability of the model?s output to facilitate description of nutrient and oxygen profiles in the interior of the ocean. An additional issue to be explored with the time-dependent version will be the need to allow for non-Redfield stoichiometry in processes such as nutrient uptake and remineralisation. The food web model developed at the Keystone meeting is sufficiently complex as to make its incorporation into more elaborate GCMs problematic. Consequently, the final phase of the proposed research will involve examination of the impact on model performance of simplifications of the food web structure proposed at the Keystone meeting. In other words, the final phase of the project will attempt to identify the simplest possible food web model that can simulate the aspects of system behavior necessary to explain the pattern of export production in the ocean and the nature of exported carbon.</p>
<p>&nbsp;</p> Methods and Sampling:
Funding provided by National Science Foundation (NSF) Award Number: unknown SMP NSF
completed
Edward Laws
University of Hawai'i
225 578-3334
Louisiana State University School of the Coast and Environment 1002R Energy, Coast and Environment Building
Baton Rouge
LA
70803
USA
edlaws@lsu.edu
pointOfContact
asNeeded
Dataset Version: 21 September 2004
Tab-seperated values
USJGOFS_SMP
service
Deployment Activity
Global
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
U.S. Joint Global Ocean Flux Study
http://usjgofs.whoi.edu/
U.S. Joint Global Ocean Flux Study
The United States Joint Global Ocean Flux Study was a national component of international JGOFS and an integral part of global climate change research.
The U.S. launched the Joint Global Ocean Flux Study (JGOFS) in the late 1980s to study the ocean carbon cycle. An ambitious goal was set to understand the controls on the concentrations and fluxes of carbon and associated nutrients in the ocean. A new field of ocean biogeochemistry emerged with an emphasis on quality measurements of carbon system parameters and interdisciplinary field studies of the biological, chemical and physical process which control the ocean carbon cycle. As we studied ocean biogeochemistry, we learned that our simple views of carbon uptake and transport were severely limited, and a new "wave" of ocean science was born. U.S. JGOFS has been supported primarily by the U.S. National Science Foundation in collaboration with the National Oceanic and Atmospheric Administration, the National Aeronautics and Space Administration, the Department of Energy and the Office of Naval Research. U.S. JGOFS, ended in 2005 with the conclusion of the Synthesis and Modeling Project (SMP).
U.S. JGOFS
largerWorkCitation
program
U.S. JGOFS Synthesis and Modeling
http://usjgofs.whoi.edu/mzweb/syn-mod.htm
U.S. JGOFS Synthesis and Modeling
<p>There were no cruises associated directly with the US JGOFS SMP. The SMP deployment refers to the project being deployed.</p>
<h3>INTRODUCTION</h3>
<p>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<sub>2</sub> 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:</p>
<ul>
<li>determine the processes controlling the oceanic carbon cycle and ocean-atmosphere carbon fluxes</li>
<li>develop improved capabilities for predicting future changes.</li>
</ul>
<p>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:</p>
<ul>
<li>Individual PI level projects</li>
<li>Topical Working Groups</li>
<li>Project management team (two co-coordinators and a project scientist)</li>
<li>Data management (both distributed and centralized)</li>
<li>Community activities (PI meetings, mini-workshops, special issues etc.).</li>
</ul>
<p>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).</p>
<h3>PROGRAM SCOPE</h3>
<p>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 <a href="http://usjgofs.whoi.edu/mzweb/syn-mod.htm">http://usjgofs.whoi.edu/mzweb/syn-mod.htm</a>). The scope and balance of the SMP was based on geographic region of study and investigation of biogeochemical processes.</p>
<h3>Synthesis and Modeling Projects</h3>
<p>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:</p>
<ol>
<li>synthesis of primary production, new production and export production (both particulate and dissolved)</li>
<li>the mechanisms and rates of mid to deep water particle flux and remineralization as well as sediment diagenesis</li>
<li>controls and distributions of calcium carbonate and silica production, transport and remineralization</li>
<li>biogeochemical effects of trace metal cycling</li>
<li>spatial and temporal extrapolation of biogeochemical flux estimates (e.g. export production) from local to basin and global scales</li>
<li>development, evaluation and incorporation of mechanistically based, biological models for global carbon cycle simulations</li>
<li>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.</li>
</ol>
<p>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<sub>2</sub> 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.</p>
<p>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.</p>
<p>On the global perspective, over a dozen synthesis groups worked on the JGOFS/WOCE global CO<sub>2</sub> survey data with good coverage for all of the carbon related parameters (DIC, alkalinity, <sup>13</sup>C, <sup>14</sup>C, nutrients, oxygen, pCO<sub>2</sub>, etc.). A coordinated global biogeochemical modeling effort was initiated as part of the international Ocean Carbon Model Intercomparison Project (OCMIP, <a href="http://www.ipsl.jussieu.fr/OCMIP/">http://www.ipsl.jussieu.fr/OCMIP/</a>). 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, <sup>14</sup>C, <sup>3</sup>He).</p>
<h4>Links to Related Programs Subsequent to US JGOFS SMP:</h4>
<p><a href="http://us-ocb.org/">Ocean Carbon & Biogeochemistry (OCB)</a><br />
<a href="http://coastalcarbon.pbwiki.com/">North American Carbon Program (NACP) Coastal Synthesis</a><br />
</p>
SMP
largerWorkCitation
project
eng; USA
oceans
Global
2004-09-21
global oceans
0
BCO-DMO catalogue of parameters from f-ratio MATLAB routine for an adaptive food web model to explain carbon cycling in the ocean, 2004 (U.S. JGOFS Synthesis & Modeling Phase project results)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/3196/data/download
download
onLine
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Deployment: USJGOFS_SMP
USJGOFS_SMP
Institution laboratories
laboratory
USJGOFS_SMP
http://usjgofs.whoi.edu/mzweb/smp/smpimp.htm
Report describing USJGOFS_SMP
Institution laboratories
laboratory