|
|
| Landschuetzer, P.; Gruber, N.; Bakker, D. C. E.; Schuster, U.. |
| We present a new observation-based estimate of the global oceanic carbon dioxide (CO2) sink and its temporal variation on a monthly basis from 1998 through 2011 and at a spatial resolution of 1 degrees x1 degrees. This sink estimate rests upon a neural network-based mapping of global surface ocean observations of the partial pressure of CO2 (pCO(2)) from the Surface Ocean CO2 Atlas database. The resulting pCO(2) has small biases when evaluated against independent observations in the different ocean basins, but larger randomly distributed differences exist particularly in high latitudes. The seasonal climatology of our neural network-based product agrees overall well with the Takahashi et al. (2009) climatology, although our product produces a stronger... |
| Tipo: Text |
Palavras-chave: Sea surface pCO(2); Neural network; Air-sea exchange of CO2; Ocean carbon cycle; Observations. |
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00292/40345/38920.pdf |
| |
