Using Fuzzy Cognitive Mapping and Nonlinear Hebbian Learning for Modeling, Simulation and Assessment of the Climate System, Based on a Planetary Boundaries Framework

Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City

“…Pioneering contributions arose with the work of Gay-García and Paz-Ortiz in the study of stability in terrestrial climate systems (Paz-Ortiz, 2011;Gay-García and Paz-Ortiz, 2014), modeling, simulation and evaluation of the terrestrial climate system based on a framework of planetary limits (Paz-Ortiz and Gay-García, 2014), as well as the analysis of the impact that climate change will have on CDMX's water supply sources (Paz-Ortiz and Gay-García, 2013). It is worth highlighting the fact that this last study utilized scenarios in which there was an increase or decrease in the average annual precipitation in CDMX.…”