区域气候模式中云量参数化方案的研究
STUDY OF CLOUDINESS PARAMETERIZATION SCHEME IN REGIONAL CLIMATE MODEL
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摘要: 首先统计并分析了模式区域内夏季平均的云量分布状况,然后在一有限区域模式中,引进了云-辐射计算模式。比较了3种不同的云量参数化方案,最后提出了一种考虑了大气相对湿度、垂直运动速度的本模式的云量参数化方案,并简要分析了模式引入不同方案后的模拟结果。模拟结果表明,本模式的方案模拟的云量分布及气候要素场都与实况最接近,说明这一机制反映了云在气候系统中的反馈作用。不同的区域模式宜用不同的云量参数化方案。云量增加导致日平均地表温度下降。Abstract: First of all,cloudiness distribution is statistically analysed for summer average within a model domain. A cloud-radiative computational model is then introduced to a limited regional model for comparison of three cloudiness parameterization schemes.As a result, the scheme as described in this paper is suggested,which includes relative humidity and vertical velocity, and simulations with different schemes are presented.According to the result, the cloudiness distribution and climatic elements it reproduced is the most realistic, indicating that it reflects the feedback of clouds in climate system. It is appropriate to use different schemes for different regional models.Any increase in cloudiness will lead to falling of diurnal mean surface temperature.
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Key words:
- Regional model /
- Cloud cover /
- Parameterization scheme
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