2018
DOI: 10.3389/fmars.2018.00395
|View full text |Cite
|
Sign up to set email alerts
|

Particle Flux Parameterizations: Quantitative and Mechanistic Similarities and Differences

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-vs.-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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

4
49
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 36 publications
(53 citation statements)
references
References 19 publications
(26 reference statements)
4
49
0
Order By: Relevance
“…A direct comparison of modeled to observed sinking velocities and fluxes is challenging, as scale dissimilarities introduce uncertainty for comparisons between models and observations (Bisson et al, 2018). Furthermore, sediment trap data for POC and mineral fluxes exhibit high uncertainties which complicates model comparisons and even make different parametrizations for vertical fluxes undistinguishable (Cael and Bisson, 2018). As a consequence, we remain with a general evaluation of our model results.…”
Section: Model Tuning and Evaluationmentioning
confidence: 99%
“…A direct comparison of modeled to observed sinking velocities and fluxes is challenging, as scale dissimilarities introduce uncertainty for comparisons between models and observations (Bisson et al, 2018). Furthermore, sediment trap data for POC and mineral fluxes exhibit high uncertainties which complicates model comparisons and even make different parametrizations for vertical fluxes undistinguishable (Cael and Bisson, 2018). As a consequence, we remain with a general evaluation of our model results.…”
Section: Model Tuning and Evaluationmentioning
confidence: 99%
“…On the contrary, the available amount of POC, acting as glue, is suggested to limit the uptake capability for ballasting minerals before aggregates disintegrate (Passow, 2004;Passow and De La Rocha, 2006;De La Rocha et al, 2008). Ballasting increases the POC transfer efficiency (Klaas and Archer, 2002;Balch et al, 2010;Cram et al, 2018), defined as the fraction of POC exported out of the euphotic zone that reaches a particular depth, e.g., 1000 m (Francois et al, 2002). As CaCO 3 is significantly denser than opal, CaCO 3 is suggested to be a more effective ballasting material for marine aggregates (Balch et al, 2010), implying higher POC transfer efficiency in CaCO 3production-dominated regions.…”
Section: Introductionmentioning
confidence: 99%
“…6a). We suggest this offset is likely caused by a non-linear relationship between b and the amount of organic matter reaching the deep ocean (as measured by the e-folding depth: depth at which ∼63% of exported POC has been remineralised) following from the fact that the Martin curve represents the scenario of a fixed remineralisation rate and an increasing sinking rate (Kriest and Oschlies, 2008;Cael and Bisson, 2018) To demonstrate this, we find the equivalent e-folding depths for each Latin hypercube sample, which form a skewed distribution due to higher occurrence of shallower remineralisation, calculate the area-weighted geometric mean efolding depth for each sample, and re-arrange again for b (see Supplementary Material for details). The distributions in Figure 6b now fall along the line of globally uniform experiments.…”
Section: Regional Versus Global Sensitivitymentioning
confidence: 99%
“…as the depth at which ∼63% of POC has been remineralised (Kwon et al, 2009), to refer to changes in POC remineralisation as it is relatable to alternative mathematical functions also used (e.g., Cael and Bisson, 2018).…”
mentioning
confidence: 99%