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Issue title: V Congress of Theoretical and Computational Physical Chemistry, 8-10 of December of 2014, Altos de Pipe, Caracas, Venezuela
Guest editors: Fernando Ruette, Anibal Sierralta, Morella Sánchez and Ney Luiggi
Article type: Research Article
Authors: Davila, Keyra L.a | Seijas, Luis E.a | Almeida, Rafaela | Rincón, Luisa; b; *
Affiliations: [a] Departamento de Química, Facultad de Ciencias, Universidad de Los Andes, La Hechicera, Mérida, Venezuela | [b] Universidad San Francisco de Quito, Grupo de Química Computacional y Teórica (QCT-USFQ), Departamento de Ingeniería Química, Quito, Ecuador
Correspondence: [*] Corresponding author: Luis Rincón, Departamento de Química, Facultad de Ciencias, Universidad de Los Andes, La Hechicera, Mérida-5101, Venezuela. E-mail:lrincon@ula.ve;lrincon@usfq.edu.ec
Abstract: In this work, we use electronic structure calculations, at the RHF and DFT/B3LYP level of theory, combined with Pinnock's cloudy sky instantaneous radiative transfer model, to predict radiative efficiency for the whole set of 63 greenhouse gases included in the IPCC Fourth Assessment Report, this set included chlorofluorocarbons, bromofluorocarbons, hydrofluorocarbons, perfluorocarbons, hydrofluoroethers and hydrofluoropolyethers. In order to get better insights, the greenhouse gases included in the IPCC set are divided in four groups and two subsets, and the results of the statistical analysis for each of the groups are presented. We validate our predictive ability using the IPCC accepted values, and obtain an average 20% of the Mean Absolute Percentage Error at the B3LYP/6-31++G**, after an ad hoc uniform scaling of the theoretical vibrational frequencies is carried out.
Keywords: Radiative efficiency, greenhouse gases, density functional theory
DOI: 10.3233/JCM-160672
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 17, no. 1, pp. 187-197, 2017
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