Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [352801] |
A framework to evaluate and elucidate the driving mechanisms of coastal sea surface pCO2 seasonality using an ocean general circulation model (MOM6-COBALT)
Roobaert, A.; Resplandy, L.; Laruelle, G.G.; Liao, E.; Regnier, P. (2022). A framework to evaluate and elucidate the driving mechanisms of coastal sea surface pCO2 seasonality using an ocean general circulation model (MOM6-COBALT). Ocean Sci. 18(1): 67-88. https://dx.doi.org/10.5194/os-18-67-2022
In: Ocean Science. Copernicus: Göttingen. ISSN 1812-0784; e-ISSN 1812-0792, meer
|   |
| Auteurs | | Top |
- Roobaert, A., meer
- Resplandy, L.
- Laruelle, G.G., meer
|
- Liao, E.
- Regnier, P., meer
|
|
| Abstract |
The temporal variability of the sea surface partial pressure of CO2 (pCO(2)) and the underlying processes driving this variability are poorly understood in the coastal ocean. In this study, we tailor an existing method that quantifies the effects of thermal changes, biological activity, ocean circulation and freshwater fluxes to examine seasonal pCO(2) changes in highly variable coastal environments. We first use the Modular Ocean Model version 6 (MOM6) and bio-geochemical module Carbon Ocean Biogeochemistry And Lower Trophics version 2 (COBALTv2) at a half-degree resolution to simulate coastal CO2 dynamics and evaluate them against pCO(2) from the Surface Ocean CO2 Atlas database (SOCAT) and from the continuous coastal pCO(2) product generated from SOCAT by a two-step neuronal network interpolation method (coastal Self-Organizing Map Feed-Forward neural Network SOM-FFN, Laruelle et al., 2017). The MOM6-COBALT model reproduces the observed spatiotemporal variability not only in pCO(2) but also in sea surface temperature, salinity and nutrients in most coastal environments, except in a few specific regions such as marginal seas. Based on this evaluation, we identify coastal regions of "high" and "medium" agreement between model and coastal SOM-FFN where the drivers of coastal pCO(2) seasonal changes can be examined with reasonable confidence. Second, we apply our decomposition method in three contrasted coastal regions: an eastern (US East Coast) and a western (the Californian Current) boundary current and a polar coastal region (the Norwegian Basin). Results show that differences in pCO(2) seasonality in the three regions are controlled by the balance between ocean circulation and bio-logical and thermal changes. Circulation controls the pCO(2) seasonality in the Californian Current; biological activity controls pCO(2) in the Norwegian Basin; and the interplay between biological processes and thermal and circulation changes is key on the US East Coast. The refined approach presented here allows the attribution of pCO(2) changes with small residual biases in the coastal ocean, allowing for future work on the mechanisms controlling coastal air-sea CO2 exchanges and how they are likely to be affected by future changes in sea surface temperature, hydrodynamics and biological dynamics. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
