Azimuthal Distribution of Daily Maximum Temperatures Observed at Sideslopes of a Grass-covered Inactive Parasitic Volcano ("Ohreum") in Jeju Island

Seo, Hee-Chul; Jeon, Seung-Jong; Yun, Jin I.

doi:10.5532/kjafm.2008.10.1.025

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…There are several methods available for urban climate analysis (Grimmond et al , ): model‐based analysis using models with various resolutions as, for example, computational fluid dynamics (CFD) models for wind conditions (Cui et al , ; Baik et al , ; Ryu et al , ; Ryu and Baik, ); observation‐based analysis for detailed mapping of climatic conditions considering lapse rate over terrain, urban effect, cold air drainage, and solar radiation (Chung et al , , ; Yun, , ; Seo et al , ); and statistical analysis on spatiotemporal structure of urban heat islands (Kim and Baik, ; Chow and Roth, ; Roth, ). In recent studies, resolutions of models for local climate analysis have generally increased.…”

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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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: 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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“…특히 복잡지형에서는 평지 와는 달리 사면과 태양위치 간 기하학적 관계와 그로 인한 일사수광량의 차이가 크게 나타나며, 이것은 최 고기온의 공간변이를 증폭시킨다 (Seo et al, 2008).…”

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Distribution of Midday Air Temperature and the Solar Irradiance Over Sloping Surfaces under Cloudless Condition

Soo-ock¹,

Yun²

2013

Korean Journal of Agricultural and Forest Meteorology

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Automated weather stations were installed at 9 locations with, three different elevations, (i.e., 50m, 100m, and 300m a.s.l.) with different slope and aspect in a small watershed (50km 2 area). Air temperature at 1500 LST and solar radiation accumulated for 1100-1500 LST were collected from January to December 2012. Topography of the study area was defined by a 30 × 30 m digital elevation model (DEM) grid. Accumulated solar irradiance was calculated for each location with the spatially averaged slope and aspect of surrounding circles with 5, 10, 15, 20, 25, and 30 grid cell radii, respectively. The 1500 LST air temperature from clear sky conditions with zero cloud amount was regressed to the 1100-1500 LST solar irradiance at 9 locations. We found the highest coefficient of determination (r 2 = 0.544) at 25 grid cell radius and the temperature variation in this study was explained by Y = 0.8309X + 0.0438, where Y is 1500 LST temperature (in o C) and X is 1100-1500 LST accumulated solar irradiance (in MJ/m 2 ).

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Characteristics of Springtime Temperature Within Mt. Youngmun Valley

Chun¹,

Kim²,

Lee³

et al. 2014

Korean Journal of Agricultural and Forest Meteorology

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This paper reviews the results of recent observations in the Yeonsuri valley of Mt. Youngmun during springtime (March to May) in 2012. Automated weather stations were installed at twelve sites in the valley to measure temperature and 2, 3 dimensional wind. We examined temporal and spatial characteristics of temperatures and wind data. The Yeonsuri valley springtime average temperature lapse rate between the top and bottom of the entire period is -0.44 o C/100 m. It can be changed by the synoptic weather conditions, the lapse rates is greatest in order of clear days (-0.48 o C/100 m), rainy (-0.41 o C/100 m) and cloudy days (-0.40 o C/100 m). In the night, the temperature inversion layer (thermal belt) and the cold pool are formed within the valley. In addition, we measured temperature and wind distribution from the bottom to 3.5 m, the cold layers existed up to 1.5 m, which were affected by ground mixed layer. The results will provide useful guidance on agricultural practices as well as model simulations.

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Azimuthal Distribution of Daily Maximum Temperatures Observed at Sideslopes of a Grass-covered Inactive Parasitic Volcano ("Ohreum") in Jeju Island

Cited by 4 publications

References 4 publications

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

Distribution of Midday Air Temperature and the Solar Irradiance Over Sloping Surfaces under Cloudless Condition

Characteristics of Springtime Temperature Within Mt. Youngmun Valley

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