Abstract. The ability to constrain the mechanisms that transport organiccarbon into the deep ocean is complicated by the multiple physical,chemical, and ecological processes that intersect to create, transform, andtransport particles in the ocean. In this paper we develop andparameterize a data-assimilative model of the multiple pathways of thebiological carbon pump (NEMUROBCP). The mechanistic model is designedto represent sinking particle flux, active transport by vertically migratingzooplankton, and passive transport by subduction and vertical mixing, whilealso explicitly representing multiple biological and chemical propertiesmeasured directly in the field (including nutrients, phytoplankton andzooplankton taxa, carbon dioxide and oxygen, nitrogen isotopes, and234Thorium). Using 30 different data types (including standing stockand rate measurements related to nutrients, phytoplankton, zooplankton, andnon-living organic matter) from Lagrangian experiments conducted on 11cruises from four ocean regions, we conduct an objective statisticalparameterization of the model and generate 1 million different potentialparameter sets that are used for ensemble model simulations. The modelsimulates in situ parameters that were assimilated (net primary productionand gravitational particle flux) and parameters that were withheld(234Thorium and nitrogen isotopes) with reasonable accuracy. Modelresults show that gravitational flux of sinking particles and verticalmixing of organic matter from the euphotic zone are more importantbiological pump pathways than active transport by vertically migratingzooplankton. However, these processes are regionally variable, with sinkingparticles most important in oligotrophic areas of the Gulf of Mexico andCalifornia Current, sinking particles and vertical mixing roughly equivalentin productive coastal upwelling regions and the subtropical front in theSouthern Ocean, and active transport an important contributor in the easterntropical Pacific. We further find that mortality at depth is an importantcomponent of active transport when mesozooplankton biomass is high, but itis negligible in regions with low mesozooplankton biomass. Our results alsohighlight the high degree of uncertainty, particularly amongstmesozooplankton functional groups, that is derived from uncertainty in modelparameters. Indeed, variability in BCP pathways between simulations for aspecific location using different parameter sets (all with approximatelyequal misfit relative to observations) is comparable to variability in BCPpathways between regions. We discuss the implications of these results forother data-assimilation approaches and for studies that rely on non-ensemblemodel outputs.
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A new, global optical sediment trap calibration
Autonomous sensors for gravitational carbon flux in the ocean are critically needed, because of uncertainties in the projected response of the biological carbon pump (BCP) to climate change, and the proposed, engineered acceleration of the BCP to sequester carbon dioxide in the ocean. Optical sediment trap (OST) sensors directly sense fluxes of sinking particles in a manner that is independent of, and complementary to, other autonomous, sensor‐derived estimates of BCP fluxes. However, limited intercalibrations of OSTs with traditional sediment traps and uncharacterized, potential biases have limited their broad adoption. A global field data set spanning three orders of magnitude in carbon flux was compiled and used to develop empirical models predicting particulate organic carbon flux from OST observations, and intercalibrating different sensor designs. These data provided valuable constraints on the uncertainty in the predicted carbon flux and showed a quantitative, theoretically consistent relationship between observations from OSTs with collimated and diffuse optical geometries. While not designed for this purpose, commercial beam transmissometers have been used as OSTs, so two models were developed quantifying the biases arising from the transmissometer's housing geometry and optical beam diameter. Finally, an algorithm for the quality control of beam transmissometer‐derived OST data was optimized using sensitivity tests. The results of this study support the expansion of OST‐based gravitational carbon flux measurements and provide a framework for interpretation of OST measurements alongside other gravitational particle flux observations. These findings also suggest key features that should be included in designs of future, purpose‐built OST sensors.
more » « less- NSF-PAR ID:
- 10475538
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Limnology and Oceanography: Methods
- Volume:
- 22
- Issue:
- 2
- ISSN:
- 1541-5856
- Format(s):
- Medium: X Size: p. 77-92
- Size(s):
- ["p. 77-92"]
- Sponsoring Org:
- National Science Foundation
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