Global ocean particulate organic carbon flux merged with satellite
parameters

Mouw, Colleen B.; Barnett, Audrey; McKinley, Galen A.; Gloege, Lucas; Pilcher, Darren J.

doi:10.5194/essd-8-531-2016

Cited by 56 publications

(94 citation statements)

References 51 publications

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“…We utilize the data set of Mouw et al . [], a compilation of field estimates of POC flux along with matched satellite data products available on PANGEA (doi http://pangaea.de/10.1594/PANGAEA.855600…”

Section: Methodsmentioning

confidence: 99%

“…To complement these in situ data, Mouw et al . [] provide satellite‐derived estimates of net primary production (NPP, gC m −2 d −1 , vertically generalized production model [ Behrenfeld and Falkowski , ]), microplankton fraction ( S fm , % [ Mouw and Yoder , ]), and the diffuse attenuation coefficient at 490 nm ( K d (490), m −1 ). We retrieve the depth of the euphotic zone ( z eu , m) from K d (490) [ O ' Reilly et al ., ] as 4.6/ K d (490) [ Morel and Berthon , ].…”

Section: Methodsmentioning

confidence: 99%

“…In Mouw et al . [], satellite data products are retrieved from global 9 km resolution imagery as the median of a 5 × 5 pixel box centered on each POC flux location [ Bailey and Werdell , ] and are provided as a time series over the complete SeaWiFS mission (Sea‐viewing Wide Field‐of‐view Sensor, September 1997 to December 2010). This is a conservative statistical funnel of 2025 km 2 .…”

Section: Methodsmentioning

confidence: 99%

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Phytoplankton size impact on export flux in the global ocean

Mouw

Barnett

McKinley

et al. 2016

Global Biogeochemical Cycles

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Efficiency of the biological pump of carbon to the deep ocean depends largely on biologically mediated export of carbon from the surface ocean and its remineralization with depth. Global satellite studies have primarily focused on chlorophyll concentration and net primary production (NPP) to understand the role of phytoplankton in these processes. Recent satellite retrievals of phytoplankton composition now allow for the size of phytoplankton cells to be considered. Here we improve understanding of phytoplankton size structure impacts on particle export, remineralization, and transfer. A global compilation of particulate organic carbon (POC) flux estimated from sediment traps and 234Th are utilized. Annual climatologies of NPP, percent microplankton, and POC flux at four time series locations and within biogeochemical provinces are constructed. Parameters that characterize POC flux versus depth (export flux ratio, labile fraction, and remineralization length scale) are fit for time series locations, biogeochemical provinces, and times of the year dominated by small and large phytoplankton cells where phytoplankton cell size show enough dynamic range over the annual cycle. Considering all data together, our findings support the idea of high export flux but low transfer efficiency in productive regions and vice versa for oligotrophic regions. However, when parsing by dominant size class, we find periods dominated by small cells to have both greater export flux efficiency and lower transfer efficiency than periods when large cells comprise a greater proportion of the phytoplankton community.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Phytoplankton size impact on export flux in the global ocean

Mouw

Barnett

McKinley

et al. 2016

Global Biogeochemical Cycles

Self Cite

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“…2.2 for computation) by about 40 % (e.g., because of atmospheric clouds) with respect to BOPAD-prof. To compute vertical diffuse attenuation coefficients for downward irradiance (K d (λ)) and PAR (K d (PAR)) within Z pd , each radiometric profile was binned in 1 m intervals. K d (λ) and K d (PAR) values were then derived from a linear fit, after removal of outliers, between the natural logarithm of the radiometric quantity and depth (in units of pressure) following Mueller et al (2003). K d (λ) and K d (PAR) values obtained from linear fits based on less than three points or with a determination coefficient (r 2 ) lower than 0.90 were discarded .…”

Section: Bio-optical Products Within the First Optical Depthmentioning

confidence: 99%

Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications

Organelli

Barbieux

Claustre

et al. 2017

Earth Syst. Sci. Data

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Abstract. Since 2012, an array of 105 Biogeochemical-Argo (BGC-Argo) floats has been deployed across the world's oceans to assist in filling observational gaps that are required for characterizing open-ocean environments. Profiles of biogeochemical (chlorophyll and dissolved organic matter) and optical (single-wavelength particulate optical backscattering, downward irradiance at three wavelengths, and photosynthetically available radiation) variables are collected in the upper 1000 m every 1 to 10 days. The database of 9837 vertical profiles collected up to January 2016 is presented and its spatial and temporal coverage is discussed. Each variable is quality controlled with specifically developed procedures and its time series is quality-assessed to identify issues related to biofouling and/or instrument drift. A second database of 5748 profile-derived products within the first optical depth (i.e., the layer of interest for satellite remote sensing) is also presented and its spatiotemporal distribution discussed. This database, devoted to field and remote ocean color applications, includes diffuse attenuation coefficients for downward irradiance at three narrow wavebands and one broad waveband (photosynthetically available radiation), calibrated chlorophyll and fluorescent dissolved organic matter concentrations, and singlewavelength particulate optical backscattering. To demonstrate the applicability of these databases, data within the first optical depth are compared with previously established bio-optical models and used to validate remotely derived bio-optical products. The quality-controlled databases are publicly available from the SEANOE (SEA scieNtific Open data Edition) publisher at https://doi.org/10.17882/49388 and https://doi.org/10.17882/47142 for vertical profiles and products within the first optical depth, respectively.

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“…The NCP estimates are based on a compilation of O 2 / Ar measurements from , ), Shadwick et al (2015, and Martin et al (2013). The POC export production estimates were obtained from the recently compiled dataset of Mouw et al (2016). These estimates were adjusted to reflect a flux at the base of the mixed layer using the Martin curve of organic carbon attenuation with depth (Martin et al, 1987).…”

Section: Comparison To Observations 251 Data Productsmentioning

confidence: 99%

A mechanistic model of an upper bound on oceanic carbon export as a function of mixed layer depth and temperature

Cassar

2017

Biogeosciences

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Abstract. Export production reflects the amount of organic matter transferred from the ocean surface to depth through biological processes. This export is in large part controlled by nutrient and light availability, which are conditioned by mixed layer depth (MLD). In this study, building on Sverdrup's critical depth hypothesis, we derive a mechanistic model of an upper bound on carbon export based on the metabolic balance between photosynthesis and respiration as a function of MLD and temperature. We find that the upper bound is a positively skewed bell-shaped function of MLD. Specifically, the upper bound increases with deepening mixed layers down to a critical depth, beyond which a long tail of decreasing carbon export is associated with increasing heterotrophic activity and decreasing light availability. We also show that in cold regions the upper bound on carbon export decreases with increasing temperature when mixed layers are deep, but increases with temperature when mixed layers are shallow. A meta-analysis shows that our model envelopes field estimates of carbon export from the mixed layer. When compared to satellite export production estimates, our model indicates that export production in some regions of the Southern Ocean, particularly the subantarctic zone, is likely limited by light for a significant portion of the growing season.

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Global ocean particulate organic carbon flux merged with satellite parameters

Cited by 56 publications

References 51 publications

Phytoplankton size impact on export flux in the global ocean

Phytoplankton size impact on export flux in the global ocean

Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications

A mechanistic model of an upper bound on oceanic carbon export as a function of mixed layer depth and temperature

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