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풍속 내삽에 활용하기 위한 MK-PRISM의 개선

Improvement of a Modified Korean Parameter-elevation Regressions on Independent Slopes Model for Wind Speed Interpolation

장동호|박종철|임윤진
기후연구소 (KU Climate Research Institute)|2014.09|기후연구 (Journal of Climate Research)|제9권 제3호|pp. 225-241|DOI http://dx.doi.org/10.14383/cri.2014.9.3.225

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참고문헌

키워드

인공신경망풍속내삽Artificial Neural Networkinterpolationwind speed공동크리깅MK-PRISMCo-kriging

초록

This study investigates the theoretical background of the interpolation methods that regardsthe topographical effect on the climate data, such as Co-kriging, Artificial Neural Network and MKPRISM(Modified Korean Parameter-elevation Regressions on Independent Slopes Model). Prior toapplying the MK-PRISM to the interpolation of wind speed, this study has improved the model tobe closer to the fundamental concept of the PRISM and verified it‘s validity. Since each method hasindividual advantages and disadvantages, there will be a need for comparative studies in order to select aninterpolation method that is suitable for the topography of Korea. This study has added a weighted valuethat considers the existence of clusters at the known point, and has supplemented the digital elevationmodels and aspects distribution of multiple scales for application. In addition, this study has allowedthe consideration of sharp changes between the known point and unknown point when calculating thetopographic facet weighting. The supplement model was verified through the interpolation of rainfall inJeju Island. The coefficient of determination and KGE(Kling and Gupta Efficiency) of the model displayedthe results of 0.86 and 0.87, respectively for August 2010 monthly precipitation in Jeju Island, and themodel was accordingly verified. This study is able to provide the necessary information to the researcherswho wish to interpolate the observation data of wind speed. Furthermore, the supplement MK-PRISMbecomes available to the research on the interpolation of wind speed.

Abstract

wind speed, interpolation,This study investigates the theoretical background of the interpolation methods that regardsthe topographical effect on the climate data, such as Co-kriging, Artificial Neural Network and MKPRISM(Modified Korean Parameter-elevation Regressions on Independent Slopes Model). Prior toapplying the MK-PRISM to the interpolation of wind speed, this study has improved the model tobe closer to the fundamental concept of the PRISM and verified it‘s validity. Since each method hasindividual advantages and disadvantages, there will be a need for comparative studies in order to select aninterpolation method that is suitable for the topography of Korea. This study has added a weighted valuethat considers the existence of clusters at the known point, and has supplemented the digital elevationmodels and aspects distribution of multiple scales for application. In addition, this study has allowedthe consideration of sharp changes between the known point and unknown point when calculating thetopographic facet weighting. The supplement model was verified through the interpolation of rainfall inJeju Island. The coefficient of determination and KGE(Kling and Gupta Efficiency) of the model displayedthe results of 0.86 and 0.87, respectively for August 2010 monthly precipitation in Jeju Island, and themodel was accordingly verified. This study is able to provide the necessary information to the researcherswho wish to interpolate the observation data of wind speed. Furthermore, the supplement MK-PRISMbecomes available to the research on the interpolation of wind speed. MK-PRISM, Co-kriging, Artificial Neural Network

참고문헌 (29)

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풍속 내삽을 위한 MK-PRISM-Wind의 개발과 검증박종철, 장동호기후연구소 · 기후연구2015 · 제10권 제4호GIS와 PRISM을 이용한 고해상도 격자형 강수량 추정김맹기, 김연희, 김찬수, 나득균, 서명석, 신성철, 이우섭, 장동호한국기상학회 · 대기2008 · 제18권 제1호독립적인 기온 감률에 기초한 MK-PRISM의 개선김맹기, 김연희, 김진욱기후연구소 · 기후연구2013 · 제8권 제3호남한 1km 해상도의 격자형 일 기상자료 생산과 검증김맹기, 김진욱, 이대희기후연구소 · 기후연구2013 · 제8권 제1호PRISM을 이용한 30 m 해상도의 상세 일별 기온 추정안중배, 임아영, 허지나한국기상학회 · 대기2014 · 제24권 제1호1km 해상도의 관측 격자자료 생산 기술김성, 김맹기, 김연희, 백승균, 이우섭, 장동호, 한명수기후연구소 · 기후연구2012 · 제7권 제1호

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