基于复杂地形下月平均气温分布式模拟的山区逆温研究

Temperature Inversion in Mountain Areas Based on Distributed Simulation of Monthly Mean Temperature under Complex Terrains

山区实测资料短缺对研究山地逆温带来不便,利用复杂地形下月平均气温分布式模型模拟的气温结果,对天山、哀牢山、武夷山山区逆温的高度、厚度、强度进行了研究,描述了逆温的时空分布规律,并对其成因进行了简要分析。研究结果表明各山都存在多层逆温,相比山体上部来讲山脚逆温出现频率高,强度较大,厚度达到400 m。不同坡向逆温出现的海拔高度、厚度、强度不同,但不同年份的总体走势变化不大。经过对比,证明利用复杂地形下月平均气温分布式模型得出的逆温结果与前人成果具有一致性,能较好地反映出我国不同气候区域山地区逆温随坡向的分布和季节变化特征,对局地小气候的特征规律也能够较好的表达。

The shortage of observation data in mountain areas brings great inconvenience for studying temperature inversion. The results of distributed simulation of monthly mean temperature was used under complex terrains to study the altitude,thickness and strength of temperature inversion layer of Tianshan Mountain,Ailao Mountain and Wuyi Mountain,describe the temporal and spatial distribution of temperature inversion,and carry on the brief analysis of its causes. The results prove that all mountains have multiple temperature inversion layers. Compared with the upper part of mountain,the temperature inversion layer appears more frequently and intensely on the foot of the mountain,and has the thickness of 400 meters. The altitude,thickness and strength of temperature inversion layer which appear in one aspect are different from another. However,the overall trend has little change in different years. By contrast,it prove that the results of temperature inversion obtained from the monthly mean temperature model are consistent with previous ones. They can better reflect the characteristics of temperature inversion in mountain areas in the different climatic zones in our country distributing with aspects and changing with seasons,and better express the characteristics and rules of local microclimate as well. At the same time,they can contribute to the effective use of temperature inversion resource in mountain area.