• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2017년도 추계 학술발표초록집
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• pp.67-70
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• 2017

• 한국농림기상학회지
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• 제19권2호
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• pp.37-42
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• 2017

본 연구에서는 RCP 8.5 기후변화 시나라오를 바탕으로 온량지수와 쾨펜의 기후구분을 통한 우리나라의 기후지대 변화를 살펴 보았다. 그 결과, 온량지수에 의한 기후지대를 구분하였을 경우 21세기 후반으로 갈수록 기온이 증가하여 전국적으로 난온대의 기후특성이 나타날 것으로 예상되었으며, 쾨펜의 기후지대 구분에서는 기온의 꾸준한 증가와 강수량의 연중 빈도 차이에 의해 Cfa와 Cwa의 기후특성이 주로 나타날 것으로 예상된다.

• 농촌계획
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• 제23권4호
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• pp.153-168
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• 2017

The main objective of this study was to assess reference evapotranspiration based on multiple GCMs (General Circulation Models) and estimation methods. In this study, 10 GCMs based on the RCP (Representative Concentration Pathway) 4.5 scenario were used to estimate reference evapotranspiration. 54 ASOS (Automated Synoptic Observing System) data were constructed by statistical downscaling techniques. The meteorological variables of precipitation, maximum temperature and minimum temperature, relative humidity, wind speed, and solar radiation were produced using GCMs. For the past and future periods, we estimated reference evapotranspiration by GCMs and analyzed the statistical characteristics and analyzed its uncertainty. Five methods (BC: Blaney-Criddle, HS: Hargreaves-Samani, MK: Makkink, MS: Matt-Shuttleworth, and PM: Penman-Monteith) were selected to analyze the uncertainty by reference evapotranspiration estimation methods. We compared the uncertainty of reference evapotranspiration method by the variable expansion and analyzed which variables greatly influence reference evapotranspiration estimation. The posterior probabilities of five methods were estimated as BC: 0.1792, HS: 0.1775, MK: 0.2361, MS: 0.2054, and PM: 0.2018. The posterior probability indicated how well reference evapotranspiration estimated with 10 GCMs for five methods reflected the estimated reference evapotranspiration using the observed data. Through this study, we analyzed the overall characteristics of reference evapotranspiration according to GCMs and reference evapotranspiration estimation methods The results of this study might be used as a basic data for preparing the standard method of reference evapotranspiration to derive the water management method under climate change.

• 한국농림기상학회지
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• 제25권4호
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• pp.404-414
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• 2023

본 연구에서는 미래 SSP 기후변화 시나리오 자료를 생산하기 위해 과거 30년(1981-2010)에 대한 한반도 농업용 전자기후도를 생산하고 평가하였다. ERA5 재분석 자료와 기상청 ASOS 자료에 지형인자를 고려하는 IGISRM 통계 모형을 이용하여 기후요소 6종(강수량, 평균기온, 최고기온, 최저기온 풍속, 상대습도, 일사량)에 대한 1km 해상도의 격자형 상세자료를 생산하였다. 연 평균(누적) 분포도를 살펴본 결과, 모든 변수는 기상청 ASOS 관측에서 나타난 일반적인 특성을 잘 모의하면서 지형적 효과가 적절하게 반영되었다. 농진청 농업기상 AWS와 기상청 방재기상 AWS를 이용하여 상관계수, Slope, NRMSE를 계산한 결과, 기온관련 변수에서는 재현성이 우수하게 나타났으며, 그 외 변수에서는 재현성이 다소 낮고 지역적 편차가 큰 것으로 나타났다. 관측정보 기반의 농업용 전자기후도는 미래 SSP 기후변화 시나리오 자료를 상세화하는데 기본 자료로 활용될 것이다.

• 한국농공학회논문집
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• 제55권6호
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• pp.87-99
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• 2013

For analysis of climate change effects on agriculture, precise agricultural meteorological data are needed to target period and site. In this study, agricultural meteorological data under new climate change scenario (RCP 8.5) are constructed from 2011 to 2099 in 111 agriculture major station suggested by Rural Development Administration (RDA). For verifying constructed data, comparison with field survey data in Suwon shows same trend in maximum temperature, minimum temperature, average temperature, and precipitation in 2011. Also comparison with normals of daily data in 2025, 2055, and 2085 shows reliability of constructed data. In analysis of constructed data, we can calculate sum of days over temperature and under temperature. Results effectively show the change of average temperature in each region and odd days of precipitation which means flood and dry days in target region.

• 한국IT서비스학회지
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• 제16권3호
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• pp.67-81
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• 2017

IT project teams are composed of experts from various domains with different backgrounds, such as business and technologies. Thus, enhancing knowledge sharing and increasing team social capital are critical for the success of the project. This study examines the relationship among the team social capital, team climate and team performance. A research model and hypotheses are developed from literature review and empirically validated. The research model consists of team social capital, team climate and team performance. Specifically, team social capital, as antecedents, wasconceptualized asinternal and external differentiated by team boundary, and team climate is conceptualized as innovative climate and supportive climate. Using measures adopted from previous studies, 166 data points were collected to test the research model and related hypotheses. PLS data analysis indicated that internal and external social capitalhave positive effect on innovative climate while internal social capital has a positive effect on supportive team climate. The innovative and supportive climate has significant effect on the team performance. Based on the results, we proposed several team management skills for IT project managers. Theoretical constributions are discussed at the end with limitations and further studies.

• 간호행정학회지
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• 제15권1호
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• pp.72-80
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• 2009

Purpose: To investigate the influence of a team learning climate on group performance of hospital nurses. Method: The subjects were 386 nurses who have been working in six hospitals. The data were collected by a structured questionnaire from January 20 to April 30 of 2006. The data were analyzed by SAS version 8.2, including descriptive statistics, Pearson correlation coefficient, and stepwise multiple regression. Results: The mean score of group performance was 3.38 and team learning climate was 4.89. The group performance was positively correlated with team learning climate(r=.40, p<.0001). The team learning climate explained 15% of the variance in group performance. Conclusion: The findings showed that team learning climate was an important factor in enhancing group performance in nursing organization. Therefore, the nurse manager will establish the strategies to improve the team learning climate of the nurses in order to promote organizational performance.

• 대기
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• 제32권1호
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• pp.1-15
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• 2022

Recently, Japan's Meteorological Research Institute presented the d4PDF database (Database for Policy Decision-Making for Future Climate Change, d4PDF) through large-scale climate ensemble simulations to overcome uncertainty arising from variability when the general circulation model represents extreme-scale precipitation. In this study, the change of precipitation characteristics between the historical and future climate conditions in the Yongdam-dam basin was analyzed using the d4PDF data. The result shows that annual mean precipitation and seasonal mean precipitation increased by more than 10% in future climate conditions. This study also performed an analysis on the change of the return period rainfall. The annual maximum daily rainfall was extracted for each climatic condition, and the rainfall with each return period was estimated. In this process, we represent the extreme-scale rainfall corresponding to a very long return period without any statistical model and method as the d4PDF provides rainfall data during 3,000 years for historical climate conditions and during 5,400 years for future climate conditions. The rainfall with a 50-year return period under future climate conditions exceeded the rainfall with a 100-year return period under historical climate conditions. Consequently, in future climate conditions, the magnitude of rainfall increased at the same return period and, the return period decreased at the same magnitude of rainfall. In this study, by using the d4PDF data, it was possible to analyze the change in extreme magnitude of rainfall.

• 한국농림기상학회지
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• 제26권3호
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• pp.209-218
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• 2024

농촌진흥청 국립농업과학원은 공동연구를 통해 개발한 Pusan National University/Rural Development Administration (PNU/RDA) 전지구-한반도 앙상블 장기예측시스템을 운영 중이다. 이 시스템은 1~6개월의 미래 상세기후예측자료를 생산한다. 일최고, 일최저, 일평균기온, 강수량 등 20종의 변수로 구성되어 있으며, 농업예측 분야에서 필요로 하는 일사량, 토양수분, 지중온도 등과 같은 농업기상 변수를 포함한다. 시간해상도는 일단위이며, 공간해상도는 5km 간격의 격자형태로, 지점형태로 값을 추출(내삽)하거나 행정구역 평균하여 활용이 가능하다. 최종 생산된 상세기후예측자료의 계절별 평년 기온 및 강수분포를 살펴봤을 때, 평년값을 관측과 비슷한 값으로 나타냈으며 공간적 분포 또한 상세한 지형적 효과를 반영하여 관측과 유사하게 모의하여 신뢰성을 입증하였다. 따라서 국립농업과학원의 장기(1~6개월) 상세기후예측 자료는 농업 전망 및 계획 수립에 유용한 자료로 활용될 수 있을 것으로 기대된다. 이러한 상세기후예측자료는 국립농업과학원 기후변화평가과를 통해 제공받을 수 있다.

• Quantitative Bio-Science
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• 제37권2호
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• pp.91-101
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• 2018

This study has analyzed applicable characteristics on big data of the meteorology and climate depending on press releases in the media. As a result, more than half of them were conducted by governmental departments and institutions (26.9%) and meteorological administration (25.0%). Most articles were written by journalists, especially the highest portion stems from straight articles focusing on delivering simple information. For each field, the number of cases had listed in order of rank to be exposed to the media; information service, business management, farming, livestock, and fishing industries, and disaster management, but others did rank far behind; insurance, construction, hydrology and energy. Application of big data about meteorology and climate differed depending on the seasonal change, it was directly related to temperature information during spring, to weather phenomenon such as monsoon and heat wave during summer, to meteorology and climate information during fall, and to weather phenomenon such as cold wave and heavy snow during winter.