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| Martiny, Adam C.; Lomas, Michael W.; Fu, Weiwei; Boyd, Philip W.; Chen, Yuh-ling L.; Cutter, Gregory A.; Ellwood, Michael J.; Furuya, Ken; Hashihama, Fuminori; Kanda, Jota; Karl, David M.; Kodama, Taketoshi; Li, Qian P.; Ma, Jian; Moutin, Thierry; Woodward, E. Malcolm S.; Moore, J. Keith. |
| Surface ocean phosphate is commonly below the standard analytical detection limits, leading to an incomplete picture of the global variation and biogeochemical role of phosphate. A global compilation of phosphate measured using high-sensitivity methods revealed several previously unrecognized low-phosphate areas and clear regional differences. Both observational climatologies and Earth system models (ESMs) systematically overestimated surface phosphate. Furthermore, ESMs misrepresented the relationships between phosphate, phytoplankton biomass, and primary productivity. Atmospheric iron input and nitrogen fixation are known important controls on surface phosphate, but model simulations showed that differences in the iron-to-macronutrient ratio in the... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00511/62308/66557.pdf |
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| Wang, Wei-lei; Song, Guisheng; Primeau, Francois; Saltzman, Eric S.; Bell, Thomas G.; Moore, J. Keith. |
| Marine dimethyl sulfide (DMS) is important to climate due to the ability of DMS to alter Earth's radiation budget. Knowledge of the global-scale distribution, seasonal variability, and sea-to-air flux of DMS is needed in order to improve understanding of atmospheric sulfur, aerosol/cloud dynamics, and albedo. Here we examine the use of an artificial neural network (ANN) to extrapolate available DMS measurements to the global ocean and produce a global climatology with monthly temporal resolution. A global database of 82 996 ship-based DMS measurements in surface waters was used along with a suite of environmental parameters consisting of latitude-longitude coordinates, time of day, time of year, solar radiation, mixed layer depth, sea surface temperature,... |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00668/78005/80252.pdf |
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| Wang, Shanlin; Moore, J. Keith. |
| Biogeochemical cycling in the Southern Ocean (SO) plays a key role in the global sea-air CO2 balance and in the ocean anthropogenic carbon inventory (Ito et al., 2010; Khatiwala et al., 2009; Sarmiento et al., 2004). Some previous studies suggest a decreasing trend in the Southern Ocean carbon sink (Le Quere et al., 2007; Lovenduski et al., 2007; Wetzel et al., 2005). We investigate the interannual and decadal variations in sea-air CO2 flux and phytoplankton production in the SO with hindcast simulations by an ocean biogeochemical model. Decreasing trends in sinking POC and primary production are found from 1979 to 2003, concurrent with a decreasing trend in carbon uptake from the atmosphere. Simulations show substantial interannual and decadal variability... |
| Tipo: Text |
Palavras-chave: CO2 flux; Driving mechanism; Dust; Primary production; Variations. |
| Ano: 2012 |
URL: https://archimer.ifremer.fr/doc/00383/49454/49914.pdf |
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