In this study, the necessity for a village unit Automatic Weather System (AWS) was suggested to obtain correct agricultural weather information by comparing the data of AWS of the weather station with the data of AWS installed in agricultural villages 7 km away. The comparison sites are Hyogyo-ri and Hongseong weather station. The seasonal and monthly averaged and cumulative values of data were calculated and compared. The annual time series and correlation was analyzed to determine the tendency of variation in AWS data. The average values of temperature, relative humidity and wind speed were not much different in comparison with each season. The difference in precipitation was ranged from 13.2 to 91.1 mm. The difference in monthly precipitation ranged from 1.2 to 75.4 mm. The correlation coefficient between temperature, humidity and wind speed was ranged from 0.81 to 0.99 and it of temperature was the highest. The correlation coefficient of precipitation was 0.63 and the lowest among the observed elements. Through this study, precipitation at the weather station and village unit area showed the low correlation and the difference for a quantitative comparison, while the elements excluding precipitation showed the high correlation and the similar annual variation pattern.

Abstract
1. 서 론
2. 재료 및 방법
3. 결과 및 고찰
4. 결 론
감사의 글
REFERENCES

• 조원기(부경대학교 지질환경연구소) | Won Gi Jo (Institute of Environmental Geosciences, Pukyong National University)
• 강동환(부경대학교 지질환경연구소) | Dong-hwan Kang (Institute of Environmental Geosciences, Pukyong National University) Corresponding author
• 김문수(국립환경과학원) | MoonSu Kim (National Institute of Environmental Research)
• 신인규(국립환경과학원) | In-Kyu Shin (National Institute of Environmental Research)
• 김현구(국립환경과학원) | HyunKoo Kim (National Institute of Environmental Research)