Modelling the urban heat island: sensitivity to land cover data

被引：2

作者：

Top, Sara ^{[1
,2
]}

Caluwaerts, Steven ^{[2
]}

Van Schaeybroeck, Bert ^{[3
]}

Hamdi, Rafiq ^{[3
]}

Duchene, Francois ^{[3
]}

Termonia, Piet ^{[2
,3
]}

机构：

[1] Univ Ghent, Dept Geog, Ghent, Belgium

[2] Univ Ghent, Dept Phys & Astron, Ghent, Belgium

[3] Royal Meteorol Inst Belgium RMI, Brussels, Belgium

来源：

2019 JOINT URBAN REMOTE SENSING EVENT (JURSE) | 2019年

关键词：

urban climate modelling; urban monitoring network; ECOCLIMAP; high-resolution land cover data; ALARO; SURFEX; TEB; SURFACE PARAMETERS; CLIMATE; RESOLUTION; SCHEME;

D O I：

10.1109/jurse.2019.8809032

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The MOCCA (MOnitoring the City's Climate and Atmosphere) network is measuring since July 2016 the urban climate of Ghent by using high-accuracy weather stations installed in different urban environments. Urban canopy temperature observations clearly show that surface properties (e.g. land cover fraction, building height...) determine the urban heat island (UHI) intensity. This relationship is also expected in simulations of the UHI since the radiation and energy balance in a land surface model, coupled to an atmospheric model, is based upon the characteristics of the surface. In this study we illustrate how the use of more accurate land cover data in the SURFEX surface scheme leads to an improved simulation of the nocturnal UHI of Ghent. As the modelled UHI is very sensitive to the land cover fractions, it can be concluded that it is important to use accurate, up-to-date surface information based on the newest techniques of remote sensing for UHI modelling.

引用

页数：4

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