Urban energy exchanges monitoring from space.
Urban energy exchanges monitoring from space.
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从太空监测城市能源交换。
DOI：
10.1038/s41598-018-29873-x
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发表时间：
2018-07-31
影响因子：
4.6
通讯作者：
Parlow E
中科院分区：
文献类型：
--
作者：
Chrysoulakis N;Grimmond S;Feigenwinter C;Lindberg F;Gastellu-Etchegorry JP;Marconcini M;Mitraka Z;Stagakis S;Crawford B;Olofson F;Landier L;Morrison W;Parlow E
城市化和全球环境变化界面临的一个重要挑战是理解城市形态、能源使用和碳排放之间的关系。从目前的文献中缺少的是科学的评估，评估不同的城市空间单元对能量通量的影响，然而，这种类型的分析是城市规划者所需要的，他们认识到，当地规模的分区影响能源消耗和当地气候。利用卫星估计邻近地区的城市能量通量仍然是一项挑战。在这里，我们展示了当前卫星任务的潜力，以检索城市能源预算通量，支持气象观测和直接通量测量评估。我们发现，卫星和原位派生的净全波辐射之间的协议在5%以内，并确定，壁面分数和城市材料类型是最重要的参数，用于估计城市冠层的热储存。卫星方法被发现低估了测量的湍流热通量，感热通量对地表温度变化最敏感（±2 K扰动为−64.1，+69.3 W m−2）。 他们还低估了人为热通量。然而，后者获得合理的空间格局，允许热点被确定，因此支持城市规划和城市气候建模。
One important challenge facing the urbanization and global environmental change community is to understand the relation between urban form, energy use and carbon emissions. Missing from the current literature are scientific assessments that evaluate the impacts of different urban spatial units on energy fluxes; yet, this type of analysis is needed by urban planners, who recognize that local scale zoning affects energy consumption and local climate. Satellite-based estimation of urban energy fluxes at neighbourhood scale is still a challenge. Here we show the potential of the current satellite missions to retrieve urban energy budget fluxes, supported by meteorological observations and evaluated by direct flux measurements. We found an agreement within 5% between satellite and in-situ derived net all-wave radiation; and identified that wall facet fraction and urban materials type are the most important parameters for estimating heat storage of the urban canopy. The satellite approaches were found to underestimate measured turbulent heat fluxes, with sensible heat flux being most sensitive to surface temperature variation (−64.1, +69.3 W m−2 for ±2 K perturbation). They also underestimate anthropogenic heat fluxes. However, reasonable spatial patterns are obtained for the latter allowing hot-spots to be identified, therefore supporting both urban planning and urban climate modelling.
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影响因子：
13.5
作者：
Kato, Soushi;Yamaguchi, Yasushi
通讯作者：
Yamaguchi, Yasushi
影响因子：
4.3
作者：
Kanda, Manabu;Moriizumi, Takanobu
通讯作者：
Moriizumi, Takanobu
DOI：
10.1109/jstars.2016.2522181
发表时间：
2016-07-01
影响因子：
5.5
作者：
Mitraka, Zina;Del Frate, Fabio;Carbone, Francesco
通讯作者：
Carbone, Francesco
DOI：
10.1109/jstars.2018.2807815
发表时间：
2018-08-01
影响因子：
5.5
作者：
Feigenwinter, Christian;Vogt, Roland;Chrysoulakis, Nektarios
通讯作者：
Chrysoulakis, Nektarios
影响因子：
5
作者：
Gastellu-Etchegorry, Jean-Philippe;Yin, Tiangang;Ristorcelli, Thomas
通讯作者：
Ristorcelli, Thomas