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
Menenti Massimo
中科院分区:
工程技术1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

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城市全地表温度(Tc)是城市活动地表总面积的平均温度,是城市微气候研究中的重要变量,特别是用于评估城市地表能量平衡。由于大多数垂直方向的建筑物小面没有观察到的最低点观察远程成像辐射计,在特定的视角测量的辐射表面温度(Tr)不能使用现有的传热方程来估计辐射和对流通量在城市环境中。因此,有必要推导出城市街区的Tc。本研究开发了一种简单的方法来估计TcfromTr的帮助下的三维(TUF-3D)数值模型,该模型计算三维子面尺度的城市表面温度的各种表面的几何形状和属性,天气条件和太阳角度。几何和气象特征的影响-例如,利用TUF-3D模型计算了建筑物平面面积指数(λp)、墙面面积指数(F)、太阳辐照度(T)与T(T)之间的差值。结果表明,几何和气象特征之间的差异TcandTrdifferent白天和夜间的影响。然后,该研究试图预测TrandTc之间的关系,使用λp,F和白天的太阳辐照度,仅使用λ pandF用于夜间。基于TUF-3D的模拟数据,得到的关系在白天达到0.97的决定系数(r2)和1.5 K的RMSE,相应的夜间值为r2 = 0.98和RMSE = 0.69 K。使用白天城市场景的高分辨率机载热图像评估的TrandTreare之间的关系:2013年8月6日下午12:40时,r2= 0.75和RMSE = 1.09 K; 2017年10月24日上午11:30时,r2 = 0.86和RMSE = 1.86 K。新的关系也适用于估计TcfromTrin香港检索Landsat 5专题制图仪(TM)和先进的星载热发射和反射辐射计(ASTER)。在目前的气候背景下,TcandTrcan之间的差异达到10 K在白天在夏季,和6 K在白天在冬季,与季节变化归因于短波辐照度的变化。在夏季和春季,TcandTr之间的夜间差异也可以达到2K。
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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发表时间: 2018-09
影响因子: 13.5
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期刊: REMOTE SENSING
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