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| Wanninkhof, Rik; Pickers, Penelope A.; Omar, Abdirahman M.; Sutton, Adrienne; Murata, Akihiko; Olsen, Are; Stephens, Britton B.; Tilbrook, Bronte; Munro, David; Pierrot, Denis; Rehder, Gregor; Magdalena Santana-casiano, J.; Mueller, Jens D.; Trinanes, Joaquin; Tedesco, Kathy; O'Brien, Kevin; Currie, Kim; Barberols, Leticia; Telszewski, Maciej; Hoppema, Mario; Ishii, Masao; Gonzalez-davila, Melchor; Bates, Nicholas R.; Metzl, Nicolas; Suntharalingam, Parvadha; Feely, Richard A.; Nakaoka, Shin-ichiro; Lauvset, Siv K.; Takahashi, Taro; Steinhoff, Tobias; Schuster, Ute. |
| The Surface Ocean CO2 NETwork (SOCONET) and atmospheric Marine Boundary Layer (MBL) CO2 measurements from ships and buoys focus on the operational aspects of measurements of CO2 in both the ocean surface and atmospheric MBLs. The goal is to provide accurate pCO(2) data to within 2 micro atmosphere (mu atm) for surface ocean and 0.2 parts per million (ppm) for MBL measurements following rigorous best practices, calibration and intercomparison procedures. Platforms and data will be tracked in near real-time and final quality-controlled data will be provided to the community within a year. The network, involving partners worldwide, will aid in production of important products such as maps of monthly resolved surface ocean CO2 and air-sea CO2 flux... |
| Tipo: Text |
Palavras-chave: Carbon dioxide; Network; Oceanography; Fluxes; Best practices. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00675/78725/80992.pdf |
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| Broullon, Daniel; Perez, Iz F; Velo, Anton; Hoppema, Mario; Olsen, Are; Takahashi, Taro; Key, Robert M.; Tanhua, Toste; Magdalena Santana-casiano, J.; Kozyr, Alex. |
| Anthropogenic emissions of CO2 to the atmosphere have modified the carbon cycle for more than 2 centuries. As the ocean stores most of the carbon on our planet, there is an important task in unraveling the natural and anthropogenic processes that drive the carbon cycle at different spatial and temporal scales. We contribute to this by designing a global monthly climatology of total dissolved inorganic carbon (TCO2), which offers a robust basis in carbon cycle modeling but also for other studies related to this cycle. A feedforward neural network (dubbed NNGv2LDEO) was configured to extract from the Global Ocean Data Analysis Project version 2.2019 (GLODAPv2.2019) and the Lamont-Doherty Earth Observatory (LDEO) datasets the relations between TCO2 and a set... |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78830/81115.pdf |
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