A Study on the Roughness Length Spatial Distribution in Relation to the Seoul Building Morphology

Abstract

The purpose of this study is for the fundamental understandings about building morphological parameters and aerodynamic roughness parameters of Seoul, Korea using the detailed urban geographic information datasets. Applied roughness parameter calculations are based on a digital map of buildings with lot area polygons. The quality of the developed roughness length (z 0 ) of Seoul was evaluated with densely installed 107 automatic weather stations. The correlation coefficient results between averaged wind speeds of AWS data and averaged z 0 is −0.303 in night and −0.398 in day (200 m radii circles case). Further z 0 enhancement should follow by considering other surface features such as high tree and orography of Seoul. However, this study would meet the needs to for local-or meso-scale meteorological modeling applications of Seoul. However, further studies would require for enhancing the z 0 applications of Seoul.

High-resolution urban observation network for user-specific meteorological information service in the Seoul Metropolitan Area, South Korea

“…The surface roughness and displacement lengths are obtained by a micrometeorological method and verified with those obtained from urban morphology data such as mean building height, frontal area density, and plane area density from the geographical information system (Macdonald et al, 1998;Kwon et al, 2014). They are expected to produce high-resolution surface property maps, such as albedo, emissivity, and thermal conductivity, and surface roughness length and displacement (Yi et al, 2015;Jee et al, 2016). Furthermore, they determine the 30 min averaged carbon dioxide concentration and flux and the sensible heat flux, latent heat flux, radiative flux, and heat storage.…”

High-Resolution Urban Observation Network for a User-Specific Meteorological Information Service in the Seoul Metropolitan Area, Korea

“…The surface roughness and displacement lengths are obtained by a micrometeorological method and verified with those obtained from urban morphology data such as mean building height, frontal area density, and plane area density from the geographical information system (Macdonald et al, 1998;Kwon et al, 2014). They are expected to produce high-resolution surface property maps, such as albedo, emissivity, and thermal conductivity, and surface roughness length and displacement (Yi et al, 2015;Jee et al, 2016). Furthermore, they determine the 30 min averaged carbon dioxide concentration and flux and the sensible heat flux, latent heat flux, radiative flux, and heat storage.…”

“…They are aimed at a deeper comprehension of the urban meteorology and produce the data necessary for a high-resolution meteorological information service. The station locations are optimized using the analysis of the observing system simulation experiment (OSSE), a model-based experiment for the purpose of assessing the potential impact of the would-be observation station for any instrument and/or sensor (Zhang and Pu, 2010) providing a more stable meteorological information service. Based on the OSSE results, some stations or instruments might be added, removed, or moved to other locations.…”