대한원격탐사학회지 (Korean Journal of Remote Sensing)

  • 제33권2호
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  • Pages.171-187
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  • 2017
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  • 1225-6161(pISSN)
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  • 2287-9307(eISSN)
대한원격탐사학회 (Korean Society of Remote Sensing)
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MODIS AOD를 이용한 지상 시정 산출

Estimation of surface visibility using MODIS AOD

  • 박준영 (강릉원주대학교 대기환경과학과) ;
  • 권태영 (강릉원주대학교 대기환경과학과) ;
  • 이재용 (강릉원주대학교 대기환경과학과)
  • Park, Jun-Young (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Kwon, Tae-Yong (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Lee, Jae-Yong (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University)
  • 투고 : 2017.01.23
  • 심사 : 2017.04.15
  • 발행 : 2017.04.30
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초록

이 연구에서는 위성의 AOD를 이용하여 지면 시정을 산출하는 방법을 제시했다. 시정을 산출하기 위해서는 에어로졸의 분포 고도가 필요하다. 이 연구에서는 두 가지 에어로졸의 분포 고도를 이용하여 시정을 산출하였다. 하나는 대기층이 분리되어 나타나는 경우로 물리적으로 아래와 위층이 완전히 분리되어 있는 경우를 의미한다. 이 경우 분리된 층의 상한 고도를 에어로졸 층 고도(Aerosol Layer Height: ALH)로 가정하였으며 상대습도의 연직분포에서 뚜렷한 최소값이 나타나는 고도로부터 찾았다. 다른 하나는 분리된 층이 존재하지 않은 경우를 의미한다. 이 경우 행성 경계층 고도(Planetary Boundary Layer Height: PBLH)를 사용하였다. 이 두 고도는 RDAPS 예측장 자료로부터 산출되었다. 따라서 시정은 MODIS AOD와 PBLH/ALH로부터 추정하였다. 여기서 ALH를 사용하는 경우 Koschmieder's Law를 이용하였으며 PBLH를 사용하는 경우 경험적 관계식을 이용하였다. 추정 시정을 검증하기 위해 2015~2016년 봄철에 목측 9개와 PWD22 17개 지점의 시정 자료를 사용하였다. 추정시정의 검증에서 검증 값은 지점, 년도, 오전(Terra)/오후(Aqua)에 따라 상당한 차이가 있었다. 이 중 2016년 Terra위성을 이용한 중서부 지역 지점들의 검증은 가장 좋은 결과를 보였다. 검증 결과를 요약하면 상관계수는 0.65보다 높았고, 낮은 시정에서 RMSE는 3.62 km, ME는 2.29 km 보다 낮았다. 그리고 POD는 0.65보다 높았고, FAR은 0.5보다 낮았다. 이러한 검증 결과는 낮은 시정의 데이터 수가 많을수록 좋아졌다.

Thisstudy presentsthe method for deriving surface visibility from satellite retrieved AOD. To do thisthe height of aerosol distribution isrequired. This distribution would be in thisstudy represented by the two heights; if there is a discrete atmospheric layer, which is physically separated from the above layer, the upper height of the layer is assumed as Aerosol Layer Height(ALH). In this case there is clear minimum in the Relative Humanity vertical distribution. Otherwise PBLH(Planetary Boundary Layer Height) is used. These heights are obtained from the forecast data of Regional Data Assimilation and Prediction System(RDAPS). The surface visibility is estimated from MODIS AOD and ALH/PBLH, using Koschmieder's Law for ALH and the empirical relations for PBLH. The estimated visibility are evaluated from the visibility measurements of 9 eve-measurement stations and 17 PWD22 stations for the spring of 2015 and 2016. Verification of the estimated visibility shows that there are considerable differencesin statistical verification value depending on stations, years, morning(Terra)/afternoon(Aqua). The better results are shown in the midwest part of korean peninsula for Terra of 2016. The results are summarized as; correlation coefficients of higher than 0.65, for low visibility RMSE of 3.62 km and ME of 2.29 km or less, POD of higher than 0.65 and FAR of 0.5 or less. Verification results were better with increase in the number of low-visibility data.

키워드

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