Sunday, November 17, 2019
Lab #8 Essay Example | Topics and Well Written Essays - 750 words
Lab #8 - Essay Example The model forecast temperature reduction if sulphates emissions will be reduced. The model also predicts that warming will result to faster soil perspiration leading to greater amount of carbon dioxide being released to the atmosphere. This will hasten the global warming process. Though these models provide predictive solutions about climatic change, they have come under great criticism. This regards to the issue of classifying them as scientific or merely non scientific predictions. Models are used both in the scientific field and also in the business field. Models are predictive. This means that a probability index has to be associated with them. There are chances that what is predicted might occur or not. Scientific experiments are also conducted using formulated hypothesis that help to determine if the hypothesis is true or not. This shows that the climate models are scientific indeed. Furthermore, these models are based on real observable physical parameters that help climatologist to predict changes in climate patterns. According to Schmidt, G. (2005, January 12) these patterns are scientific. The controversy about them is the scale of application. When these climate predictions are applied on small scale, the effects may not be clearly visible. When these models are applied to a larger scale, comprehensive results can be obtained. The climatic models take into account the circulation of air, radiation transfer, cloud formation, sea ice formation, and soil moisture content. These are contained in sub modules of the General Circulation Models. These models contain information of how physical processes interact. During their prediction scientific laws and rules for the conservation of energy mass and momentum are obeyed. Discrediting these models as non scientific is ridiculous as they are formulated using and following scientific rules. The validation of the climate models is not simple as they predict long term global effects.
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