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利用遗传算法反演大气的垂直温度结构
引用本文:林黎虹,张健,石耀霖.利用遗传算法反演大气的垂直温度结构[J].中国科学院研究生院学报,1997(1).
作者姓名:林黎虹  张健  石耀霖
作者单位:中国科学院研究生院地学教学部 (林黎虹,张健),中国科学院研究生院地学教学部(石耀霖)
基金项目:中国科技大学研究生院院长择优基金
摘    要:从大气辐射对流能量方程出发,建立全球平均的多层大气垂直温度模型,利用遗传算法求解的结果与实际大气层结温度曲线相吻合。结果表明:由地表之上至60公里的空间范围,在近地表处大气辐射系数和吸收系数值较高,这可能与CO_2、水汽影响有关;25~30公里处辐射系数和吸收系数又达到较高值,这可能与该层O_3含量的增加有关系。

关 键 词:大气层结温度  遗传算法  辐射系数  吸收系数

Utlizing Genetic Algorithms Inverting Atmospheric Vertical Temperature Structure
Lin Lihong Zhang Jian Shi Yaolin.Utlizing Genetic Algorithms Inverting Atmospheric Vertical Temperature Structure[J].Journal of the Graduate School of the Chinese Academy of Sciences,1997(1).
Authors:Lin Lihong Zhang Jian Shi Yaolin
Abstract:The phenomenon of global warming has drawn a world-wild attention. In order to realize the process of global warming and to predict the long term climate change, it is of critical importance to understand the influence of atmospheric emissivity and absorbsivity in atmospheric temperature structure. We have built a multi-layer atmospheric model from the radiate-conrective energy equilibrium equation. Using Genetic Algorithms, we have obtained the solution of the equilibrium equation. The calculated temperature-altitude curve is in well agreement with observation. The result of the inversion shows that there are maximum values of atmospheric emissivity and absorbsivity near the ground that probably relate to the influence of H2, CO2. The atmospheric emissivity and absorbsivity reach the second maximum at 25 to 30km elevation. The possible reason is local concentration of O3.
Keywords:atmospheric layer-temperature  genetic algorithms  emissivity  absorbsivity
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