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Korean Meteorological Society (한국기상학회)
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Effects of Observation Network Density Change on Spatial Distribution of Meteorological Variables: Three-Dimensional Meteorological Observation Project in the Yeongdong Region in 2019

관측망 밀도 변화가 기상변수의 공간분포에 미치는 영향: 2019 강원영동 입체적 공동관측 캠페인

  • Kim, Hae-Min (High-Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Jeong, Jong-Hyeok (High-Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Hyunuk (High-Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Park, Chang-Geun (AI Weather Forecast Research Team, National Institute of Meteorological Sciences) ;
  • Kim, Baek-Jo (High-Impact Weather Research Department, National Institute of Meteorological Sciences) ;
  • Kim, Seung-Bum (High-Impact Weather Research Department, National Institute of Meteorological Sciences)
  • 김해민 (국립기상과학원 재해기상연구부) ;
  • 정종혁 (국립기상과학원 재해기상연구부) ;
  • 김현욱 (국립기상과학원 재해기상연구부) ;
  • 박창근 (국립기상과학원 인공지능예보연구팀) ;
  • 김백조 (국립기상과학원 재해기상연구부) ;
  • 김승범 (국립기상과학원 재해기상연구부)
  • Received : 2020.04.06
  • Accepted : 2020.06.02
  • Published : 2020.06.30
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Abstract

We conducted a study on the impact of observation station density; this was done in order to enable the accurate estimation of spatial meteorological variables. The purpose of this study is to help operate an efficient observation network by examining distributions of temperature, relative humidity, and wind speed in a test area of a three-dimensional meteorological observation project in the Yeongdong region in 2019. For our analysis, we grouped the observation stations as follows: 41 stations (for Step 4), 34 stations (for Step 3), 17 stations (for Step 2), and 10 stations (for Step 1). Grid values were interpolated using the kriging method. We compared the spatial accuracy of the estimated meteorological grid by using station density. The effect of increased observation network density varied and was dependent on meteorological variables and weather conditions. The temperature is sufficient for the current weather observation network (featuring an average distance about 9.30 km between stations), and the relative humidity is sufficient when the average distance between stations is about 5.04 km. However, it is recommended that all observation networks, with an average distance of approximately 4.59 km between stations, be utilized for monitoring wind speed. In addition, this also enables the operation of an effective observation network through the classification of outliers.

Keywords

References

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