Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model
Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model
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DOI：
10.1007/s00704-004-0069-0
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发表时间：
2004-12-01
影响因子：
3.4
通讯作者：
Ichinose, T
中科院分区：
文献类型：
--
作者：
Hirano, Y;Yasuoka, Y;Ichinose, T
我们根据卫星遥感（RS）数据模拟了具有地表边界条件的城市气候。大多数先前的中尺度气象建模研究都使用土地利用数据作为地表边界条件。然而，小块植被覆盖，例如路边树木和园林树木，被排除在土地利用数据之外。因此，我们利用遥感数据中的这些小块植被覆盖度制作了一个植被覆盖度（FVC）数据集，然后用 FVC 数据作为新的地表边界条件模拟了东京的城市热岛。此外，我们将上述模拟结果与仅使用土地利用数据的模拟结果进行了比较。对比表明，新边界条件下的空气温度比旧边界条件下的空气温度降低了1.5℃。此外，新边界条件导致预测气温比旧边界条件更接近测量温度。因此，城市气候模拟包括小植被覆盖非常重要。
We simulated urban climate with surface boundary conditions based on satellite remote sensing (RS) data. Most previous mesoscale meteorological modeling studies use land-use data instead as the surface boundary conditions. However, small patches of vegetation-cover, such as roadside trees and garden trees, are excluded from the land-use data. Therefore, we made a fractional vegetation cover (FVC) dataset with these small patches of vegetation-cover from RS data, and then simulated the urban heat island in Tokyo with FVC data as new surface boundary conditions. In addition, we compared the above simulation results with results from a simulation that used only land-use data. The comparison shows that the air temperature with the new boundary condition is up to 1.5degreesC lower than that with the old boundary condition. Furthermore, the new boundary condition led to predicted air temperatures closer to the measured temperatures than those with the old boundary condition. Therefore, it is important for urban climate simulations to include small vegetation cover.