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Particle Flux Parameterizations: Quantitative and Mechanistic Similarities and Differences

descriptionPublicationkeyboard_double_arrow_right Article 29 Oct 2018 United Kingdom Frontiers Media SAFrontiers in Marine Science, volume 5 (eissn: 2296-7745,

Authors: B. B. Cael; Kelsey Bisson;

doi: 10.3389/fmars.2018.00395

Particle Flux Parameterizations: Quantitative and Mechanistic Similarities and Differences

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- References
  (19)
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Abstract

The depth-attenuation of sinking particulate organic carbon (POC) is of particular importance for the ocean's role in the global carbon cycle. Numerous idealized flux-versus-depth relationships are available to parameterize this process in Earth System Models. Here we show that these relationships are statistically indistinguishable from available POC flux profile data. Despite their quantitative similarity, we also show these relationships have very different implications for the flux leaving the upper ocean, as well as for the mechanisms governing POC flux. We discuss how this tension might be addressed both observationally and in modeling studies.

Country

United Kingdom

Related Organizations

University of California, Santa Barbara
United States
Massachusetts Institute of Technology
United States
Natural Environment Research Council
United Kingdom
University of Georgia
United States
Woods Hole Oceanographic Institution, Physical Oceanography Department
United States

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Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:QH1-199.5 lcsh:General. Including nature conservation, geographical distribution lcsh:Science lcsh:Q

Microsoft Academic Graph classification: Flux Atmospheric sciences Carbon cycle Particle flux Particulate organic carbon Particulate organic matter Earth system science Environmental science

Keywords

Ocean Engineering, Aquatic Science, Oceanography, carbon export, carbon cycle, particulate organic matter, Water Science and Technology, Global and Planetary Change, martin curve, remineralization depth

19 references, page 1 of 2

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Buesseler, K. O. (1991). Do upper-ocean sediment traps provide an accurate record of particle flux? Nature 353, 420. doi: 10.1038/353420a0

Buesseler, K. O., Antia, A. N., Chen, M., Fowler, S. W., Gardner, W. D., Gustafsson, O., et al. (2007). An assessment of the use of sediment traps for estimating upper ocean particle fluxes. J. Mar. Res. 65, 345-416. doi: 10.1357/002224007781567621 [OpenAIRE]

Buesseler, K. O., and Boyd, P. W. (2009). Shedding light on processes that control particle export and flux attenuation in the twilight zone of the open ocean. Limnol. Oceanogr. 54, 1210-1232. doi: 10.4319/lo.2009.54.4.1210

Buesseler, K. O., Steinberg, D. K., Michaels, A. F. Johnson, R. J., Andrews, J. E. Valdes, J. R., et al. (2000). A comparison of the quantity and quality of material caught in a neutrally buoyant versus surface- tethered sediment trap. Deep Sea Res. I 47, 277-294. doi: 10.1016/S0967-0637(99)00056-4

Burd, A. B., Hansell, D. A., Steinberg, D. K., Anderson, T. R., Aristegui, J., Baltar, F., et al. (2010). Assessing the apparent imbalance between geochemical and biochemical indicators of meso-and bathypelagic biological activity: What the $#! is wrong with present calculations of carbon budgets? Deep Sea Res. II 57, 1557-1571. doi: 10.1016/j.dsr2.2010.02.022

Burd, A. B., and Jackson, G. A. (2009). Particle aggregation. Ann. Rev. Mar. Sci. 1, 65-90. doi: 10.1146/annurev.marine.010908.163904

Gloege, L., McKinley, G. A., Mouw, C. B., and Ciochetto, A. B. (2017). Global evaluation of particulate organic carbon flux parameterizations and implications for atmospheric pCO2. Glob. Biogeochem. Cycles 31, 1192-1215. doi: 10.1002/2016GB005535

Lutz, M., Dunbar, R., and Caldeira, K. (2002). Regional variability in the vertical flux of particulate organic carbon in the ocean interior. Glob. Biogeochem. Cycles 16, 11-1-11-18. doi: 10.1029/2000GB001383

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	23
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%

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visibility	views	5
download	downloads	6

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	23
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%