Urban morphology parameters from global digital elevation models: Implications for aerodynamic roughness and for wind-speed estimation

REMOTE SENSING OF ENVIRONMENT

卷:221

Article

Kent, Christoph W.¹  Grimmond, Sue¹  Gatey, David²  Hirano, Kohin³ 

[1] Univ Reading, Dept Meteorol, Reading, Berks, England

[2] Risk Management Solut, London, England

[3] Natl Res Inst Earth Sci & Disaster Resilience, Ibaraki, Japan

关键词: Aerodynamic roughness length;    Digital elevation model;    Digital surface model;    Digital terrain model;    Global cities;    Morphometric roughness methods;    Urban;    Wind speed profile;    Zero-plane displacement;   

DOI  :  10.1016/j.rse.2018.09.024

来源: Elsevier

【 摘 要 】

Urban morphology and aerodynamic roughness parameters are derived from three global digital elevation models (GDEM): Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Shuttle Radar Topography Mission (SRTM), and TanDEM-X. Initially, each is compared to benchmark elevation data in London (UK). A moving window is used to extract ground heights from the GDEMs, generating terrain models with root mean -square accuracy of up to 3 m. Subtraction of the ground heights extracted from each GDEM provides roughness-element heights only, allowing for calculation of morphology parameters. The parameters are calculated for eight directional sectors of 1 km grid-squares. Apparent merging of roughness elements in all GDEMs causes height-based parameter underestimation, whilst plan and frontal areas are over- and under-estimated, respectively. Combined, these lead to an underestimation of morphometrically-derived aerodynamic roughness parameters. Parameter errors are least for the TanDEM-X data. Further comparison in five cities (Auckland, Greater London, New York, Sao Paulo, Tokyo) provides basis for empirical corrections to TanDEM-X-derived geometric parameters. These reduce the error in parameters across the cities and for a separate location. Meteorological observations in central London give insight to wind-speed estimation accuracy using roughness parameters from the different elevation databases. The proposed corrections to TanDEM-X parameters lead to improved wind-speed estimates, which combined with the improved spatial representation of parameters across cities demonstrates their potential for use in future studies.

【 授权许可】

Free