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2017 Vol.37, Issue 6 Preview Page
A Proposal of an Interpolation Method of Missing Wind Velocity Data in Writing a Typical Weather Data

표준기상데이터 작성 시 누락된 풍속 데이터의 보간 방법 제안

So-Woo Park1
,
Joo-wook Kim2
,
Doo-sam Song2*
박 소우1
,
김 주욱2
,
송 두삼2*
1Department of Civil and Environmental System Engineering, Sungkyunkwan University
2School of Civil, Architectural Engineering, and Landscape Architecture, Sungkyunkwan University
1성균관대학교 건설환경시스템공학과
2성균관대학교 건설환경공학부
*교신저자. *Corresponding Author. 
30 December 2017. pp. 79-91
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Abstract

The meteorological data of 1 hour interval are required to write a typical weather data for building energy simulation. However, many meterological data are missing and the interpolation method to recover the missing data is required. Especially, lots of meterological data are replicated by linear interpolation method because the changes are not significant. While, the wind velocity fluctuates with the time or locations, so linear interpolation method is not appropriate in interpolation of the wind velocity data. In this study, three interpolation methods, using surrounding wind velocity data, Inverse Distance Weighting (IDW), Revised Inverse Distance Weighting (IDW-r), were analyzed considering the characteristics of wind velocity. The Revised Inverse Distance Weighting method, proposed in this study, showed the highest reliability in restoration of the wind velocity data among the analyzed methods.

Keywords
Typical weather data
Missing wind velocity data
Interpolation
Inverse Distance Weighting, IDW
Revised Inverse Distance Weighting, IDW-r

키워드
표준기상데이터
누락 풍속데이터
보간
역거리가중법
수정 역거리가중법
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 37
  • No :6
  • Pages :79-91
  • Received Date : 2017-11-10
  • Revised Date : 2017-11-25
  • Accepted Date : 2017-12-12
  • DOI :https://doi.org/10.7836/kses.2017.37.6.079
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