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Evaluation of the Simple Urban Energy Balance Model Using Selected Data from 1-yr Flux Observations at Two Cities

机译:使用两个城市的1年通量观测值选择的数据评估简单的城市能源平衡模型

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The authors' objective was to apply the Simple Urban Energy Balance Model for Mesoscale Simulation (SUMM) to cities. Data were selected from 1-yr flux observations conducted at three sites in two cities: one site in Kugahara, Japan (Ku), and two sitesin Basel, Switzerland (Ul and U2). A simple vegetation scheme was implemented in SUMM to apply the model to vegetated cities, and the surface energy balance and radiative temperature T_R were evaluated. SUMM generally reproduced seasonal and diurnal trends of surface energy balance and T_R at Ku and U2, whereas relatively large errors were obtained for the daytime results of sensible heat flux Q_H and heat storage DELTAQ_S at Ul. Overall, daytime underestimations of Q_H and overestimations of DELTAQ_Sand T_R were common. These errors were partly induced by the poor parameterization of the natural logarithm of the ratio of roughness length for momentum to heat (kB~(-1)); that is, the observed kB~(-1) values at vegetated cities were smaller than the simulated values. The authors proposed a new equation for predicting this coefficient. This equation accounts for the existence of vegetation and improves the common errors described above. With the modified formula for kB~(-1), simulated net all-wave radiation and T_R agreed well with observed values, regardless of site and season. However, at Ul, simulated Q_H and DELTAQ_S were still overestimated and underestimated, respectively, relative to observed values.
机译:作者的目标是将中尺度模拟(SUMM)的简单城市能源平衡模型应用于城市。数据是从在两个城市的三个站点进行的1年通量观测中选择的:一个站点位于日本的九重原(Ku),两个站点位于瑞士的巴塞尔(U1和U2)。在SUMM中实施了一个简单的植被方案,将该模型应用于有植被的城市,并评估了表面能平衡和辐射温度T_R。 SUMM通常重现了Ku和U2处表面能平衡和T_R的季节性和昼夜趋势,而白天的显热通量Q_H和蓄热DELTAQ_S则获得了相对较大的误差。总体而言,白天的Q_H低估和DELTAQ_S和T_R的高估是常见的。这些误差部分是由于粗糙长度的动量与热量之比(kB〜(-1))的自然对数参数设置不佳引起的;也就是说,在植被城市中观测到的kB〜(-1)值小于模拟值。作者提出了一个预测该系数的新方程。该方程解释了植被的存在并改善了上述常见误差。利用改进的kB〜(-1)公式,无论站点和季节如何,模拟的净全波辐射和T_R与观测值吻合得很好。然而,在Ul,相对于观测值,模拟的Q_H和DELTAQ_S仍然分别被高估和低估了。

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