A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city
A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city
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根据辐射表面温度估算完整表面温度的半经验方法,香港城市的一项研究
DOI:
10.1016/j.rse.2019.111540
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发表时间:
2020-02
影响因子:
13.5
通讯作者:
Menenti Massimo
中科院分区:
文献类型:
--
作者:
Yang Jinxin;Wong Man Sing;Ho Hung Chak;Krayenhoff E. Scott;Chan P. W.;Abbas Sawaid;Menenti Massimo
The complete surface temperature (Tc) in urban areas, defined as the mean temperature of the total active surface area, is an important variable in urban micro-climate research, specifically for assessment of the urban surface energy balance. Since most vertically-oriented building facets are not observed by a nadir-viewing remote imaging radiometer, the radiometric surface temperature (Tr) measured at a specific view angle cannot be used with existing heat transfer equations to estimate radiative and convective fluxes in the urban environment. Thus, it is necessary to deriveTcfor city neighborhoods. This study develops a simple method to estimateTcfromTrwith the aid of the Temperatures of Urban Facets in 3D (TUF-3D) numerical model, which calculates 3-D sub-facet scale urban surface temperatures for a variety of surface geometries and properties, weather conditions and solar angles. The effects of geometric and meteorological characteristics – e.g., building planar area index (λp), wall facet area index (F), solar irradiance – on the difference betweenTcandTrwere evaluated using the TUF-3D model. Results showed the effects of geometric and meteorological characteristics on the difference betweenTcandTrdiffer between daytime and nighttime. The study then sought to predict the relationship betweenTrandTc, usingλp,F, and solar irradiance for daytime and only usingλpandFfor nighttime. Based on the simulated data from TUF-3D, the resulting relationships achieve a coefficient of determination (r2) of 0.97 and a RMSE of 1.5 K during daytime, with corresponding nighttime values ofr2= 0.98 and RMSE = 0.69 K. The relationships betweenTrandTcare evaluated using high resolution airborne thermal images of daytime urban scenes:r2= 0.75 and RMSE = 1.09 K on August 6, 2013 at 12:40 pm; andr2= 0.86 and RMSE = 1.86K on October 24, 2017 at 11:30 am. The new relationships were also applied to estimateTcfromTrin Hong Kong retrieved from Landsat 5 Thematic Mapper (TM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). In the present climatic context, the difference betweenTcandTrcan reach 10 K during daytime in summer, and 6 K during daytime in winter, with seasonal variation attributable to the variations in shortwave irradiance. The nighttime difference betweenTcandTrcan also reach 2 K in both summer and spring seasons.
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影响因子:
13.5
作者:
William Morrison;S. Kotthaus;C. Grimmond;A. Inagaki;T. Yin;J. Gastellu-Etchegorry;M. Kanda;C. Me
通讯作者:
William Morrison;S. Kotthaus;C. Grimmond;A. Inagaki;T. Yin;J. Gastellu-Etchegorry;M. Kanda;C. Me
影响因子:
4.3
作者:
M. Kanda;T. Kawai;M. Kanega;R. Moriwaki;K. Narita;A. Hagishima
通讯作者:
M. Kanda;T. Kawai;M. Kanega;R. Moriwaki;K. Narita;A. Hagishima
DOI:
10.1016/s0924-2716(03)00016-9
发表时间:
2003-06-01
影响因子:
12.7
作者:
Dousset, B;Gourmelon, F
通讯作者:
Gourmelon, F
影响因子:
5
作者:
Krayenhoff, E. Scott;Voogt, James A.
通讯作者:
Voogt, James A.
影响因子:
6.7
作者:
A. Arnfield;C. Grimmond
通讯作者:
A. Arnfield;C. Grimmond