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Seasonal change of heat budget in Ikoma mountain forest estimated from satellite-derived data

机译:根据卫星数据估算的生驹山林热量收支的季节性变化

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The seasonal and spatial changes in heat budget terms in the forest in Mt. Ikoma area, located at the boundary of Osaka and Nara Prefectures, were estimated using LANDSAT/TM data, sensed in April, June, August and December. Sensible and latent heat fluxes were calculated using the bulk transfer equation for heat and for moisture, respectively. In the bulk equation for sensible heat transfer at each pixel, surface temperature (from TM band 6), air temperature (interpolated according to elevation) and wind speed (interpolated distribution using a variational method with consideration of complexity of the terrain) were used as variables. In the bulk equation for latent heat transfer, the moisture availability, wind speed, specific humidity of the air and saturation specific humidity at the surface temperature were used. The bulk transfer coefficient was corrected for diabatic conditions for each pixel. The moisture availability for each day was calculated, considering the normalized difference vegetation index (NDVI). The distribution pattern of estimated sensible heat flux showed a strong contrast between the east and west sides of the ridge line. This contrast became stronger under strong wind conditions. In summer, the value of sensible heat flux was estimated as 160W m~(-2) under a calm condition, while it exceeded 200 W m~(-2) in the case with more than 3 m s~(-1) of mean wind speed. The estimations of latent heat flux fell within the range of 350 (summer)- 100 W m~(-2) (winter). The moisture availability varied in the range of 0.15-0.53, according to wind speed and humidity. It was clear from this analysis that accurate interpolations of meteorological variables such as wind speed and air temperature distributions are important for deducing each heat flux, even with satellite-derived data.
机译:蒙山森林热预算的季节性和空间变化。位于大阪和奈良县交界处的生驹地区,是根据4月,6月,8月和12月检测到的LANDSAT / TM数据估算的。分别使用热量和水分的整体传递方程计算了感热通量和潜热通量。在每个像素的显热传递的体方程中,表面温度(来自TM波段6),空气温度(根据海拔高度插值)和风速(使用变分法的插值分布,考虑了地形的复杂性)用作变量。在潜热传递的主体方程中,使用了水分的可利用性,风速,空气的比湿度和表面温度下的饱和比湿度。针对每个像素的非绝热条件对整体转移系数进行校正。考虑归一化差异植被指数(NDVI),计算每天的水分供应量。估计的显热通量的分布模式显示了脊线的东西两侧之间的强烈反差。在强风条件下,这种对比变得更强。在夏季,在平静条件下,显热通量的值估计为160W m〜(-2),而在平均值超过3 ms〜(-1)的情况下,显热通量超过200 W m〜(-2)。风速。潜热通量的估计值落在350(夏季)-100 W m〜(-2)(冬季)的范围内。根据风速和湿度,水分的可用性在0.15-0.53之间变化。从该分析中可以清楚地看出,即使是来自卫星的数据,准确地插值诸如风速和气温分布等气象变量对于推导每个热通量也很重要。

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