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Authors: Carlos Gay García 1 ; Oscar Sánchez Meneses 1 ; Benjamín Martínez-López 1 ; Àngela Nebot 2 and Francisco Estrada 1

Affiliations: 1 Universidad Nacional Autónoma de México, Mexico ; 2 Universitat Politècnica de Catalunya, Spain

Keyword(s): Fuzzy Inference Models, Greenhouse Gases Future Scenarios, Global Climate Change.

Abstract: Future scenarios (through 2100) developed by the Intergovernmental Panel on Climate Change (IPCC) indicate a wide range of concentrations of greenhouse gases (GHG) and aerosols, and the corresponding range of temperatures. These data, allow inferring that higher temperature increases are directly related to higher emission levels of GHG and to the increase in their atmospheric concentrations. It is evident that lower temperature increases are related to smaller amounts of emissions and, to lower GHG concentrations. In this work, simple linguistic rules are extracted from results obtained through the use of simple linear scenarios of emissions of GHG in the Magicc model. These rules describe the relations between the GHG, their concentrations, the radiative forcing associated with these concentrations, and the corresponding temperature changes. These rules are used to build a fuzzy model, which uses concentration values of GHG as input variables and gives, as output, the temperature i ncrease projected for year 2100. A second fuzzy model is presented on the temperature increases obtained from the same model but including a second source of uncertainty: climate sensitivity. Both models are very attractive because their simplicity and capability to integrate the uncertainties to the input (emissions, sensitivity) and the output (temperature). (More)

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Paper citation in several formats:
Gay García, C.; Sánchez Meneses, O.; Martínez-López, B.; Nebot, À. and Estrada, F. (2012). Simple Fuzzy Logic Models to Estimate the Global Temperature Change Due to GHG Emissions. In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - MSCCEC, (SIMULTECH 2012) ISBN 978-989-8565-20-4; ISSN 2184-2841, pages 518-526. DOI: 10.5220/0004164905180526

@conference{msccec12,
author={Carlos {Gay García}. and Oscar {Sánchez Meneses}. and Benjamín Martínez{-}López. and Àngela Nebot. and Francisco Estrada.},
title={Simple Fuzzy Logic Models to Estimate the Global Temperature Change Due to GHG Emissions},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - MSCCEC, (SIMULTECH 2012)},
year={2012},
pages={518-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004164905180526},
isbn={978-989-8565-20-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - MSCCEC, (SIMULTECH 2012)
TI - Simple Fuzzy Logic Models to Estimate the Global Temperature Change Due to GHG Emissions
SN - 978-989-8565-20-4
IS - 2184-2841
AU - Gay García, C.
AU - Sánchez Meneses, O.
AU - Martínez-López, B.
AU - Nebot, À.
AU - Estrada, F.
PY - 2012
SP - 518
EP - 526
DO - 10.5220/0004164905180526