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                            <gco:CharacterString>&lt;p&gt;&lt;em&gt;NSF Award Abstract:&lt;/em&gt;&lt;br /&gt;
In this study, researchers at the Woods Hole Oceanographic Institution, Virginia Institute of Marine Science, University of California - Santa Cruz, University of California - Santa Barbara, University of Tasmania, and NIWA-Australia will work collaboratively to answer a difficult question in marine biogeochemistry: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? Knowing the efficiency of particle transport is important for an accurate assessment of the ocean carbon sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric carbon dioxide.&lt;/p&gt;
&lt;p&gt;The research team intends to test two basic hypotheses about remineralization control, namely: (1) particle source characteristics are the dominant control on the efficiency of particle transport; and/or that (2) mid-water processing, either by zooplankton or bacteria, controls transport efficiency. To do so, they will conduct process studies at sea focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Two sites will be studied extensively on three-week process study cruises: the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE). There are strong contrasts between these sites in rates of production, export, particle composition and expected remineralization length scales.&lt;/p&gt;
&lt;p&gt;Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute, but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements and to place the shipboard observations in the context of spatial and temporal variations in these processes&lt;/p&gt;
&lt;p&gt;Besides the obvious contributions to the study of the oceanic and planetary carbon cycles, there are broader outcomes and impacts forthcoming from this project. Graduate and undergraduate students will be included in all aspects of the research, and the involvement of non-US PIs will encourage exchange of students and post-docs between labs in different countries. In addition, the component groups will continue to maintain science web sites designed for both public and scientific exchange where the broader and specific goals and outcomes of this work can be communicated.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Original PI-provided project description:&lt;/em&gt;&lt;br /&gt;
The main goal of VERTIGO is the investigation of the mechanisms that control the efficiency of particle transport through the mesopelagic portion of the water column.&lt;/p&gt;
&lt;p&gt;Question: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? VERTIGO researchers have set out to test two basic hypotheses regarding remineralization control, namely:&lt;br /&gt;
1. particle source characteristics are the dominant control on the efficiency of particle transport; and/or that&lt;br /&gt;
2. mid-water processing, either by zooplankton or bacteria, controls transport efficiency.&lt;/p&gt;
&lt;p&gt;To test their hypotheses, they will conduct process studies in the field focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Three week process study cruises have been planned at two sites - the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE) - where there are strong contrasts in rates of production, export, particle composition and expected remineralization length scales.&lt;/p&gt;
&lt;p&gt;Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements, and to place the shipboard observations in the context of spatial and temporal variations in these processes. For rapid progress in this area, we have organized this effort as a group proposal taking advantage of expertise in the US and international community.&lt;/p&gt;
&lt;p&gt;The efficiency of particle transport is important for an accurate assessment of the ocean C sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric CO2. We maintain that to understand present day ocean C sequestration and to evaluate potential strategies for enhancing sequestration, we need to assess possible changes in the efficiency of particle transport due to climate variability or via purposeful manipulations of C uptake, such as via iron fertilization.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;VERTIGO Acknowledgments: (&lt;/em&gt;from K.O. Buesseler, et al / Deep-Sea Research II 55 (2008) 1522-1539) We thank the officers, crew and shore-based support teams for the R/V Kilo Moana (2004) and R/V Roger Revelle (2005). Funding for VERTIGO was provided primarily by research grants from the US National Science Foundation Programs in Chemical and Biological Oceanography (KOB, CHL, MWS, DKS, DAS). Additional US and non-US grants included: US Department of Energy, Office of Science, Biological and Environmental Research Program (JKBB); the Gordon and Betty Moore Foundation (DMK); the Australian Cooperative Research Centre program and Australian Antarctic Division (TWT); Chinese NSFC and MOST programs (NZJ); Research Foundation Flanders and Vrije Universiteit Brussel (FD, ME); JAMSTEC (MCH); New Zealand Public Good Science Foundation (PWB); and internal WHOI sources and a contribution from the John Aure and Cathryn Ann Hansen Buesseler Foundation (KOB). A number of individuals at sea and on shore, helped make the VERTIGO project a success, including: J. Andrews, C. Bertrand, R. Bidigare III, S. Bray, K. Casciotti, M. Charette, R. Condon, J. Cope, E. Fields, M. Gall, M. Gonneea, P. Henderson, T. Kobari, D. Kunz, S. Saitoh, S. Manganini, C. Moy, S. Okamoto, S. Pike, L. Robertson, D. Ruddick and Y. Zhang. Suggestions by three anonymous reviewers and help by the editor, R. Lampitt, are also greatly appreciated.&lt;/p&gt;</gco:CharacterString>
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http://lod.bco-dmo.org/id/dataset-parameter/15856.rdf
	Name: Ba_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Barium flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15857.rdf
	Name: Ba_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Barium flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15858.rdf
	Name: Al_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Aluminum flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15859.rdf
	Name: Al_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Aluminum flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15860.rdf
	Name: Ca_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Calcium flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15861.rdf
	Name: Ca_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Calcium flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15862.rdf
	Name: Sr_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Strontium flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15863.rdf
	Name: Sr_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Strontium flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15864.rdf
	Name: Sc_f
	Units: nanograms m-2 day-1
	Description: &lt;p&gt;Scandium flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15865.rdf
	Name: Sc_f_err
	Units: nanograms m-2 day-1
	Description: &lt;p&gt;Scandium flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15866.rdf
	Name: V_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Vanadium flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15867.rdf
	Name: V_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Vanadium flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15868.rdf
	Name: Mn_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Manganese flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15869.rdf
	Name: Mn_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Manganese flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15870.rdf
	Name: Fe_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Iron flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15871.rdf
	Name: Fe_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Iron flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15872.rdf
	Name: Co_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Cobalt flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15873.rdf
	Name: Co_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Cobalt flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15874.rdf
	Name: Cu_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Copper flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15875.rdf
	Name: Cu_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Copper flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15876.rdf
	Name: Zn_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Zinc flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15877.rdf
	Name: Zn_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;Zinc flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15878.rdf
	Name: chl_c_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll c flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15879.rdf
	Name: chl_c_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll c flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15880.rdf
	Name: Per_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;peridinin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15881.rdf
	Name: Per_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;peridinin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15882.rdf
	Name: But_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;19-prime-butanoyloxyfucoxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15883.rdf
	Name: But_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;19-prime-butanoyloxyfucoxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15884.rdf
	Name: Fuco_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;fucoxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15885.rdf
	Name: Fuco_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;fucoxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15886.rdf
	Name: Hex_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;19-prime-hexanoyloxyfucoxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15887.rdf
	Name: Hex_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;19-prime-hexanoyloxyfucoxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15888.rdf
	Name: Viola_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;violaxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15889.rdf
	Name: Viola_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;violaxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15890.rdf
	Name: DDX_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;diadinoxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15891.rdf
	Name: DDX_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;diadinoxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15892.rdf
	Name: Lut_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;lutein flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15893.rdf
	Name: Lut_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;lutein flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15894.rdf
	Name: Zeax_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;zeaxanthin flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15895.rdf
	Name: Zeax_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;zeaxanthin flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15896.rdf
	Name: chl_b_mv_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll b, monovinyl flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15897.rdf
	Name: chl_b_mv_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll b, monovinyl flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15898.rdf
	Name: car_a_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;carotene-alpha flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15899.rdf
	Name: car_a_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;carotene-alpha flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15900.rdf
	Name: car_b_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;carotene-beta flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15901.rdf
	Name: car_b_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;carotene-beta flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15902.rdf
	Name: chl_a_dv_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll a, divinyl flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15903.rdf
	Name: chl_a_dv_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll a, divinyl flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15904.rdf
	Name: chl_a_mv_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll a, monovinyl flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15905.rdf
	Name: chl_a_mv_f_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;chlorophyll a, monovinyl flux error&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15906.rdf
	Name: chl_a_tot_f
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;sum of chlorophyll a like compounds flux&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/15907.rdf
	Name: chl_a_f_tot_err
	Units: micrograms m-2 day-1
	Description: &lt;p&gt;sum of chlorophyll a like compounds flux error&lt;/p&gt; 
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 DMO Note: Used common &quot;device&quot; id from these data to determine sample
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 Methodology: &lt;a href=&quot;http://ocb.whoi.edu/VERTIGO/PI-NOTES/RR_K2_SedTrapFlux.html&quot;&gt;Methodology&lt;/a&gt;
 
 Change history: YYMMDD
    080710: contributed by Carl Lamborg
    081114: date, event, ev_code, lon, lat from cruise logs merged with original data
    081114: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO
    090206: minor edits to some parameter names to conform to OCB convention  

 DMO Note: Used common &quot;device&quot; id from these data to determine sample
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           &lt;a href=&quot;http://ocb.whoi.edu/jg/serv/OCB/VERTIGO/RR_K2/log.html0&quot;&gt;RR_K2 event log&lt;/a&gt;
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