Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/12054
Título: Numerical tools to estimate the flux of a gas across the air-water interface and assess the heterogeneity of its forcing functions
Autor: Vieira, V. M. N. C. S.
Martins, Flávio
Silva, João
Santos, Rui
Palavras-chave: Atmospheric Surface-Layer
Carbon-Dioxide
Wind Stress
Transfer Velocity
Diffusion-Coefficients
Bulk Parameterization
River Estuary
Sea Fluxes
Exchange
Ocean
Data: 2013
Editora: Copernicus Gesellschaft Mbh
Resumo: A numerical tool was developed for the estimation of gas fluxes across the air-water interface. The primary objective is to use it to estimate CO2 fluxes. Nevertheless application to other gases is easily accomplished by changing the values of the parameters related to the physical properties of the gases. A user-friendly software was developed allowing to build upon a standard kernel a custom-made gas flux model with the preferred parameterizations. These include single or double layer models; several numerical schemes for the effects of wind in the air-side and water-side transfer velocities; the effects of atmospheric stability, surface roughness and turbulence from current drag with the bottom; and the effects on solubility of water temperature, salinity, air temperature and pressure. An analysis was also developed which decomposes the difference between the fluxes in a reference situation and in alternative situations into its several forcing functions. This analysis relies on the Taylor expansion of the gas flux model, requiring the numerical estimation of partial derivatives by a multivariate version of the collocation polynomial. Both the flux model and the difference decomposition analysis were tested with data taken from surveys done in the lagoon system of Ria Formosa, south Portugal, in which the CO2 fluxes were estimated using the infrared gas analyzer (IRGA) and floating chamber method, whereas the CO2 concentrations were estimated using the IRGA and degasification chamber. Observations and estimations show a remarkable fit.
Peer review: yes
URI: http://hdl.handle.net/10400.1/12054
DOI: 10.5194/os-9-355-2013
ISSN: 1812-0784
Aparece nas colecções:CIM2-Artigos (em revistas ou actas indexadas)
CCM2-Artigos (em revistas ou actas indexadas)

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