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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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| Devries, Tim; Primeau, Francois. |
| Existing methods for inferring the ventilation age of water masses in the ocean using radiocarbon data neglect the effects of diffusive mixing. in the presence of varying atmospheric Delta(14)C, this neglect produces spurious time dependence in the estimated ventilation ages. To correct this deficiency we propose a new method for estimating the ventilation age from sediment core radiocarbon data. The new method is formulated in terms of parameterized age distributions that account for the effects of advective and diffusive transport in the ocean. When applied to simulated radiocarbon data from an OGCM, the method is able to closely reproduce the modeled ventilation age, whereas other methods are not. We also applied the method to sediment-core radiocarbon... |
| Tipo: Text |
Palavras-chave: Ocean Drilling Program; Site 887; Ventilation age; Radiocarbon; Transit-time distribution; Glacial-interglacial. |
| Ano: 2010 |
URL: https://archimer.ifremer.fr/doc/00231/34197/32870.pdf |
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