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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,... |
| Tipo: Text |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00668/78005/80252.pdf |
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