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Combined effects of wind and solar irradiance on the spatial variation of midday air temperature over a mountainous terrain

机译:风和太阳辐射对山区地形中午气温空间变化的综合影响

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摘要

When the midday temperature distribution in a mountainous region was estimated using data from a nearby weather station, the correction of elevation difference based on temperature lapse caused a large error. An empirical approach reflecting the effects of solar irradiance and advection was suggested in order to increase the reliability of the results. The normalized slope irradiance, which was determined by normalizing the solar irradiance difference between a horizontal surface and a sloping surface from 1100 to 1500 LST on a clear day, and the deviation relationship between the horizontal surface and the sloping surface at the 1500 LST temperature on each day were presented as simple empirical formulas. In order to simulate the phenomenon that causes immigrant air parcels to push out or mix with the existing air parcels in order to decrease the solar radiation effects, an advection correction factor was added to exponentially reduce the solar radiation effect with an increase in wind speed. In order to validate this technique, we estimated the 1500 LST air temperatures on 177 clear days in 2012 and 2013 at 10 sites with different slope aspects in a mountainous catchment and compared these values to the actual measured data. The results showed that this technique greatly improved the error bias and the overestimation of the solar radiation effect in comparison with the existing methods. By applying this technique to the Korea Meteorological Administration's 5-km grid data, it was possible to determine the temperature distribution at a 30-m resolution over a mountainous rural area south of Jiri Mountain National Park, Korea.
机译:当使用附近气象站的数据估算山区的正午温度分布时,基于温度流逝的高程差校正会导致较大的误差。为了提高结果的可靠性,建议采用经验方法来反映太阳辐照度和对流的影响。归一化的坡度辐照度是通过将晴天在水平表面和倾斜表面之间的太阳辐照度差从1100升至1500 LST以及在1500 LST温度下水平表面和倾斜表面之间的偏差关系归一化而确定的每天以简单的经验公式表示。为了模拟导致移民空气包裹推出或与现有空气包裹混合以减少太阳辐射影响的现象,增加了对流校正因子以随着风速的增加以指数方式减少太阳辐射影响。为了验证该技术,我们在2012年和2013年的177个晴天中,在山区流域的10个坡度不同的地点估计了1500 LST空气温度,并将这些值与实际测量数据进行了比较。结果表明,与现有方法相比,该技术大大改善了误差偏差和对太阳辐射效应的高估。通过将这项技术应用于韩国气象局的5公里网格数据,可以在韩国吉里山国家公园以南的山区农村地区以30米的分辨率确定温度分布。

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