Development of Climate Analysis Seoul(CAS) Maps Based on Landuse and Meteorogical Model

Yi, Chaeyeon; Eum, Jeong-Hee; Choi, Young-Jean; Kim, Kyu-Rang; Scherer, Dieter; Fehrenbach, Ute; Kim, Geun-Hoi

doi:10.11108/kagis.2011.14.1.012

Cited by 11 publications

(11 citation statements)

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“…The CAS workbench was developed to determine the influence of buildings and vegetation areas on near‐surface air temperature and wind conditions within the Seoul metropolitan area (Yi et al , ). CAS uses three different nested domains for the meso‐scale model shown in Figure .…”

Section: Methodsmentioning

confidence: 99%

“…The conventional weather observational network in Seoul has two shortcomings for climate analysis: (1) The high installation height does not detect surface weather conditions by which people are affected, and (2) the low horizontal resolution does not represent the high variability of land cover. To overcome such shortcomings, satellite images were incorporated in the analysis of surface temperature (Bhang and Park, ) and model‐based analyses such as Climate Analysis Seoul (CAS) were developed to analyse urban land cover data to estimate the local impact of buildings and vegetation on the thermal environment during day and night (Yi et al , , , 2012a).…”

Section: Introductionmentioning

confidence: 99%

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Estimating spatial patterns of air temperature at building‐resolving spatial resolution in Seoul, Korea

Yi¹,

Kim

et al. 2015

Intl Journal of Climatology

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ABSTRACT:The thermal environment in urban areas is substantially influenced by local surface properties and their modification through human activities. The effects of urban climate on human health are one of the motivations for the development of various urban climate analysis tools. Climate Analysis Seoul (CAS) is a tool that incorporates a meso-scale atmospheric model and conceptual geographic information system (GIS)-based models to provide gridded air temperature deviations based on high-resolution land cover information. The CAS output was evaluated using air temperatures observed at 18 automatic weather stations (AWS) located in the detail region (DR) Eunpyeong. Correlation analyses were performed to reveal the influence of different land cover characteristics and CAS output variables on measured air temperature deviations. Based on the results of the correlation analyses in the study region (SR) Seoul, a regression model (total air temperature distribution, TD ′ ) was developed. It predicts spatially distributed air temperatures based on morphological parameters and an observed reference temperature. Using the TD ′ model, maps of daily maximum air temperatures were produced for the entire area of Seoul with a horizontal resolution of 25 m, and of 5 m for the DR, the latter allows to assess the impacts of different building and vegetation structures on air temperature by resolving buildings. The TD ′ model was evaluated using measurements at eight AWS. The TD ′ model slightly overestimated daily maximum air temperatures in 2007 and 2011, but performed better for 2011, mainly because land cover data represent the final state of the urban development. The TD ′ model appears to be a suitable tool for estimating air temperature distributions at building-resolving resolutions. It can be used to assess changes in the thermal environment and heat-related hazards through urban development plans already ahead of their realization.KEY WORDS urban climate analysis; urban planning; urban heat island; urban multi-scale temperature distribution

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating spatial patterns of air temperature at building‐resolving spatial resolution in Seoul, Korea

Yi¹,

Kim

et al. 2015

Intl Journal of Climatology

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“…그러나 위성영상 자료는 시간해상도가 수 시간~수 일 사이로 매우 낮고 기상조건에 따라 관측 의 품질이 불균질 하다는 단점이 있다. CAS workbench는 다양한 수평적-수직적, 시간적-공 간적 해상도의 도시미기후 정보 수요들을 충족할 수 있도록 절충되고 최적화하기 위한 도구이다 (Scherer et al, 1999;Kim et al, 2014 (Eum et al, 2011;Jee et al, 2016; (Scherer et al, 2013;Kim et al, 2014;Jänicke et al, 2016). Fig.…”

Section: 연구방법unclassified

Surface Micro-Climate Analysis Based on Urban Morphological Characteristics: Temperature Deviation Estimation and Evaluation

Yi¹,

An²,

Kim³

et al. 2016

Atmosphere

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Air temperature deviation (ATD) is one of major indicators to represent spatial distribution of urban heat island (UHI), which is induced from the urbanization. The purpose of this study is to evaluate the accuracy of air temperature deviation about Climate Analysis Seoul (CAS) workbench, which had developed by National Institute Meteorological Science and TU Berlin. Comparison and correlation analysis for CAS ATD including meso-scale air temperature deviation, local-scale air temperature deviation, total air temperature deviation, surface heat flux deviation, cold air production deviation among meso-scale numerical modelling variable in 'Seoul Region', micro-scale numerical modelling in 'Detail Region', and CAS workbench variable using observation data in ground stations. Comparison between night time OBS ATD and CAS ATD show that have most close values. Most of observations (dT max and dT min ) have highly positive (dT SHP , dT CA , MD, TD, f BS , f US , f WS , h B ) and negative (f VS , f TV , h V , Z) correlations. However, CAS workbench needs further improvement of both observational framework and analytical framework to resolve the problems; (1) night time OBS ATD of has closer values in compare with at high rise mountain area and (2) correlations are very dependable to meteorological scale.

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“…1). 선정릉은 전체 면적 약 20,000 Yi et al, 2011). 따라서 다양하고 복잡한 도시공간구조를 고려 한 종합적이면서도 공간화된 상세한 도시기후영향 및 진단을 할 수 있는 정보를 제공할 수 있다 (Yi et al, 2012a, b;Kwon et al, 2015).…”

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“…각 사례일에 대해 산정된 중규모 및 국지, 종합 기온편 차를 Table 5에 제시하였다. Table에서 중규모 기온 편차는 종관풍에 의한 찬 공기가 주변지역으로의 수 송을 고려하기 때문에 Table 4의 기상 입력자료에 따라 변화한다 (Yi et al, 2011). 이에 반해 국지규모 기온편차는 토지피복률, 건물 밀도, 건축물의 높이 및 부피에 따라 분석된 상대적인 온도차이로서 모 델 격자 별 지리환경정보에 따라 열 환경 정보를 나 ) and (b) the total temperature deviation (TD) for the five heatwave issued cases around the Seonjeongneung region.…”

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Analysis of the Thermal Environment around an Urban Green Area in Seoul, Korea Using Climate Analysis Seoul (CAS)

Lee¹,

Lee²,

Kim³

2016

Atmosphere

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Climate Analysis Seoul (CAS) which provides gridded data relevant for thermal assessment was applied to one of the urban green areas, the Seonjeongneung, in Seoul, Korea. The thermal environment in the Seonjeongneung was evaluated from the CAS simulation for the five heat-wave issued cases during the last five years (2011~2015). The CAS has been improved continuously since it was developed. An updated version with a higher resolution of the CAS simulation domain and an addition of the vegetation information was used in this study. The influence of vegetation in the Seonjeongneung is estimated through the amount of the cold air generation (Q ca ) and air temperature deviation at each grid points, which are calculated by incorporating Geographic Information System (GIS) analysis on the simulation domain and meteorological analysis with the METeorology and atmospheric PHOtochemistry mesoscale MODel (MetPhoMod) in the CAS. The average amount of the cold air generation (Q ca ) at the Seonjeongneung is about 25.5 m 3 m −2 h −1 for the whole cases, and this value is similar to the ones in a forest or a well-wooded region. The average value of the total air temperature deviation (TD) is −2.54 o C at the Seonjeongneung for the five cases. However, this cooling effect of the urban green area disappeared when the region is replaced by high-rise buildings in the CAS simulation. The Q ca drastically decreases to about 1.1 m 3 m −2 h −1 and the average TD shows an increase of 1.14 o C for the same events. This result shows that the vegetation in the Seonjeongneung supposes to keep down temperature during the heat-wave issued day and the average cooling effect of the green region is 3.68 o C quantitatively from the TD difference of the two simulations. The cooling effect represented with the TD difference is larger than 0.3 o C within 200 m distance from the boundary of the Seonjeongneung. Further improvements of the thermodynamical and advection processes above the model surface are required to consider more accurate assessment of the cooling effect for the urban green area.

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Development of Climate Analysis Seoul(CAS) Maps Based on Landuse and Meteorogical Model

Abstract: It is needed to preserve good effects and to prevent bad influences on local climate in urban and environmental planning. This study seeks to develop climate analysis maps

Cited by 11 publications

References 1 publication

Estimating spatial patterns of air temperature at building‐resolving spatial resolution in Seoul, Korea

Estimating spatial patterns of air temperature at building‐resolving spatial resolution in Seoul, Korea

Surface Micro-Climate Analysis Based on Urban Morphological Characteristics: Temperature Deviation Estimation and Evaluation

Analysis of the Thermal Environment around an Urban Green Area in Seoul, Korea Using Climate Analysis Seoul (CAS)

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