Using Noble Gas Measurements to Derive Air-Sea Process Information and Predict Physical Gas Saturations
| Type | : | ACL |
|---|---|---|
| Nature | : | Production scientifique |
| Au bénéfice du Laboratoire | : | Non |
| Statut de publication | : | Publié |
| Année de publication | : | 2017 |
| Auteurs (5) | : | HAMME Roberta,c EMERSON S,r SEVERINGHAUS J,p LONG M,c YASHAYAEV I |
| Revue scientifique | : | Geophysical Research Letters |
| Volume | : | 44 |
| Fascicule | : | 19 |
| Pages | : | 9901-9909 |
| DOI | : | 10.1002/2017GL075123 |
| URL | : | - |
| Abstract | : | Dissolved gas distributions are important because they influence oceanic habitats and Earth's climate, yet competing controls by biology and physics make gas distributions challenging to predict. Bubble-mediated gas exchange, temperature change, and varying atmospheric pressure all push gases away from equilibrium. Here we use new noble gas measurements from the Labrador Sea to demonstrate a technique to quantify physical processes. Our analysis shows that water-mass formation can be represented by a quasi steady state in which bubble fluxes and cooling push gases away from equilibrium balanced by diffusive gas exchange forcing gases toward equilibrium. We quantify the rates of these physical processes from our measurements, allowing direct comparison to gas exchange parameterizations, and predict the physically driven saturation of other gases. This technique produces predictions that reasonably match N-2/Ar observations and demonstrates that physical processes should force SF6 to be approximate to 6% more supersaturated than CFC-11 and CFC-12, impacting ventilation age calculations. |
| Mots-clés | : | CCSM4; EXCESS HELIUM; EXCHANGE; IMPACT; LABRADOR SEA; NITROGEN; OCEAN; SOLUBILITY; TRACER; WATER |
| Commentaire | : | Times Cited in Web of Science Core Collection: 10 |
| Tags | : | - |
| Fichier attaché | : | - |
| Citation | : |
Hamme RC, Emerson SR, Severinghaus JP, Long MC, Yashayaev I (2017) Using Noble Gas Measurements to Derive Air-Sea Process Information and Predict Physical Gas Saturations. Geophys Res Lett 44: 9901-9909 | doi: 10.1002/2017GL075123
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