FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections

Bernardo A. Bastien Olvera, Carlos Gay y García

2016

Abstract

This work presents a new approach for assessing the climate system and for stabilizing the temperature and other climate parameters. FACTS, as we call it, is a fuzzy inference system that overview certain climate state, and is able to generate the CO2 emissions reduction needed to implement in order to stabilize the temperature. FACTS was constructed using a neural network optimization process along with data generated by a classical emissions pathfinder. Then, it was embedded in MAGICC6, a simple climate model that was forced by the four Representative Concentration Pathways until and ultimately stabilized by the proposed methodology.

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Paper Citation


in Harvard Style

Bastien Olvera B. and Gay y García C. (2016). FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections . In - MSCCES, (SIMULTECH 2016) ISBN , pages 0-0. DOI: 10.5220/0006011603570362


in Bibtex Style

@conference{mscces16,
author={Bernardo A. Bastien Olvera and Carlos Gay y García},
title={FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections},
booktitle={ - MSCCES, (SIMULTECH 2016)},
year={2016},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006011603570362},
isbn={},
}


in EndNote Style

TY - CONF
JO - - MSCCES, (SIMULTECH 2016)
TI - FACTS: Fuzzy Assessment and Control for Temperature Stabilization - Regulating Global Carbon Emissions with a Fuzzy Approach to Climate Projections
SN -
AU - Bastien Olvera B.
AU - Gay y García C.
PY - 2016
SP - 0
EP - 0
DO - 10.5220/0006011603570362