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Abstract of the Article

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Study of climate change models

Authors:
[ Gholaam Ali Kamali ] -
[ Mohammed Shafi Kazemi ] -
[ Isaac Moradi ] -

Abstract:

Relative equilibrium between absorbed solar radiation and emitted infrared radiation provide a strong negative feedback to keep the earth's temperature stable. Re-radiation by the atmosphere back to earth is the greenhouse effect, and causes surface temperatures to be warmer than otherwise. Increased sophistication in heuristic climate models is possible by including aerosols, clouds, emissivities, horizontal atmospheric and oceanic circulation's, vertical mixing, snow cover, and vegetation. The most sophisticated models are global climate models (GCMs) that employ numerical weather forecasting techniques over long time scales. While water vapor and ice-albedo processes causes positive feedback, runaway climate change does not occur because the dominant negative feedback of radiate equilibrium. The I sensitivity of global-average temperature change to various forcing can be estimated using a climate sensitivity factor. This factor can be used to estimate the temperature change impact of forcing such as carbon dioxide doubling, earth orbital changes, cloudiness increase, and volcanic influences. Life forms might have involved in a manner to help maintain a global climate conductive to plant growth. Such homeostasis is described in the gaia hypothesis, and is heuristically modeled with daisyworld.

Keywords:

Climate change; Global Climate Models, GCMs, Gaia hypothesis, Iran.