http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
자동기상관측소의 국지기후대에 근거한 서울 도시 열섬의 공간 분포
홍제우(Je-Woo Hong),홍진규(Jinkyu Hong),이성은(Seong-Eun Lee),이재원(Jaewon Lee) 한국기상학회 2013 대기 Vol.23 No.4
Urban Heat Island (UHI) intensity is one of vital parameters in studying urban boundary layer meteorology as well as urban planning. Because the UHI intensity is defined as air temperature difference between urban and rural sites, an objective sites selection criterion is necessary for proper quantification of the spatial variations of the UHI intensity. This study quantified the UHI intensity and its spatial pattern, and then analyzed their connections with urban structure and metabolism in Seoul metropolitan area where many kinds of land use and land cover types coexist. In this study, screen-level temperature data in non-precipitation day conditions observed from 29 automatic weather stations (AWS) in Seoul were analyzed to delineate the characteristics of UHI. For quality control of the data, gap test, limit test, and step test based on guideline of World Meteorological Organization were conducted. After classifying all stations by their own local climatological properties, UHI intensity and diurnal temperature range (DTR) are calculated, and then their seasonal patterns are discussed. Maximum UHI intensity was 4.3℃ in autumn and minimum was 3.6℃ in spring. Maximum DTR appeared in autumn as 3.8℃, but minimum was 2.3℃ in summer. UHI intensity and DTR showed large variations with different local climate zones. Despite limited information on accuracy and exposure errors of the automatic weather stations, the observed data from AWS network represented theoretical UHI intensities with difference local climate zone in Seoul.
단보 : 광릉 활엽수림의 낙엽층 차단저류능 추정에 관하여
강민석 ( Min Seok Kang ),홍제우 ( Je Woo Hong ),봉하영 ( Ha Young Bong ),장혜미 ( Hye Mi Jang ),최명제 ( Myung Je Choi ),장유희 ( Yoo Hee Jang ),천정화 ( Jeong Hwa Cheon ),김준 ( Joon Kim ) 한국농림기상학회 2011 한국농림기상학회지 Vol.13 No.2
In order to better understand the role of litter layer on hydrological cycle in forest, we estimated the interception storage capacity of the litter layer at Gwangneung deciduous forest. We first made a thickness map of the litter layer at the study site based on field survey and then collected representative litter samples for the laboratory experiment. We constructed a measurement device consisting of sample tray, drain collector, tipping bucket, and a data logger. Using this device, we examined the relationship between the interception storage capacity (Ci) and the thickness (d) of the litter layer. For the range of d from 25 to 100 mm, there was a simple linear relationship between C(i) and d, which changed with the intensity of the simulated rain. The results were extrapolated to d smaller than 25 mm by considering that no interception occurs without litter layer. Overall, C(i) increased rapidly when d was low (< 25 mm) but the rate of increase decreased as d increased due to clumping. With an average thickness of 59 mm, the estimated C(i) at the site was 0.94 (±0.39) mm. Such an interception storage capacity of the litter layer is comparable to that of the forest canopy, suggesting that the litter layer can play an important role in the forest water cycle.
국립기상과학원 플럭스 관측 자료 기반의 JULES 지면 모델 모의 성능 분석
김혜리(Hyeri Kim),홍제우(Je-Woo Hong),임윤진(Yoon-Jin Lim),홍진규(Jinkyu Hong),신승숙(Seung-Sook Shin),김윤재(Yun-Jae Kim) 한국기상학회 2019 대기 Vol.29 No.4
Based on in-situ monitoring data produced by National Institute of Meteorological Sciences, we evaluated the performance of Joint UK Land Environment Simulator (JULES) on the surface energy balance for rice-paddy and cropland in Korea with the operational ancillary data used for Unified Model (UM) Local Data Assimilation and Prediction System (LDAPS) (CTL) and the high-resolution ancillary data from external sources (EXP). For these experiments, we employed the one-year (March 2015~February 2016) observations of eddy-covariance fluxes and soil moisture contents from a double-cropping rice-paddy in BoSeong and a cropland in AnDong. On the rice-paddy site the model performed better in the CTL experiment except for the sensible heat flux, and the latent heat flux was underestimated in both of experiments which can be inferred that the model represents flood-irrigated surface poorly. On the cropland site the model performance of the EXP experiment was worse than that of CTL experiment related to unrealistic surface type fractions. The pattern of the modeled soil moisture was similar to the observation but more variable in time. Our results shed a light on that 1) the improvement of land scheme for the flood-irrigated rice-paddy and 2) the construction of appropriate high-resolution ancillary data should be considered in the future research.
HadGEM-CC 모델의 RCP 시나리오에 따른 전지구 탄소수지 변화 전망
허태경(Tae-kyung Heo),부경온(Kyung-on Boo),심성보(Sungbo Shim),홍진규(Jinkyu Hong),홍제우(Je-woo Hong) 한국기상학회 2015 대기 Vol.25 No.1
This study is to investigate future changes in carbon cycle using the HadGEM2-Carbon Cycle simulations driven by CO₂ emissions. For experiment, global carbon budget is integrated from the two (8.5/2.6) representative concentration pathways (RCPs) for the period of 1860~2100 by Hadley Centre Global Environmental Model, version 2, Carbon Cycle (Had-GEM2-CC). From 1985 to 2005, total cumulative CO₂ amount of anthropogenic emission prescribed as 156 GtC. The amount matches to the observed estimates (CDIAC) over the same period (136 GtC). As CO₂ emissions into the atmosphere increase, the similar increasing tendency is found in the simulated atmospheric CO₂ concentration and temperature. Atmospheric CO2 concentration in the simulation is projected to be 430 ppm for RCP 2.6 at the end of the twenty-first century and as high as 931 ppm for RCP 8.5. Simulated global mean temperature is expected to rise by 1.6℃ and 3.5oC for RCP 2.6 and 8.5, respectively. Land and ocean carbon uptakes also increase in proportion to the CO₂ emissions of RCPs. The fractions of the amount of CO₂ stored in atmosphere, land, and ocean are different in RCP 8.5 and 2.6. Further study is needed for reducing the simulation uncertainty based on multiple model simulations.