| Registro completo |
| Provedor de dados: |
ArchiMer
|
| País: |
France
|
| Título: |
Reconciling Observation and Model Trends in North Atlantic Surface CO2
|
| Autores: |
Lebehot, Alice D.
Halloran, Paul Richard
Watson, Andrew J.
Mcneall, Doug
Ford, David A.
Landschuetzer, Peter
Lauvset, Siv K.
Schuster, Ute
|
| Data: |
2019-10
|
| Ano: |
2019
|
| Resumo: |
The North Atlantic Ocean is a region of intense uptake of atmospheric CO2. To assess how this CO2 sink has evolved over recent decades, various approaches have been used to estimate basin-wide uptake from the irregularly sampled in situ CO2 observations. Until now, the lack of robust uncertainties associated with observation-based gap-filling methods required to produce these estimates has limited the capacity to validate climate model simulated surface ocean CO2 concentrations. After robustly quantifying basin-wide and annually varying interpolation uncertainties using both observational and model data, we show that the North Atlantic surface ocean fugacity of CO2 (fCO(2-ocean)) increased at a significantly slower rate than that simulated by the latest generation of Earth System Models during the period 1992-2014. We further show, with initialized model simulations, that the inability of these models to capture the observed trend in surface fCO(2-ocean) is primarily due to biases in the models' ocean biogeochemistry. Our results imply that current projections may underestimate the contribution of the North Atlantic to mitigating increasing future atmospheric CO2 concentrations.
|
| Tipo: |
Text
|
| Idioma: |
Inglês
|
| Identificador: |
https://archimer.ifremer.fr/doc/00675/78721/81005.pdf
https://archimer.ifremer.fr/doc/00675/78721/81006.pdf
DOI:10.1029/2019GB006186
https://archimer.ifremer.fr/doc/00675/78721/
|
| Editor: |
Amer Geophysical Union
|
| Formato: |
application/pdf
|
| Fonte: |
Global Biogeochemical Cycles (0886-6236) (Amer Geophysical Union), 2019-10 , Vol. 33 , N. 10 , P. 1204-1222
|
| Direitos: |
info:eu-repo/semantics/openAccess
restricted use
|
|
