Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area

Jee, Joon-Bum; Min, Jae-Sik; Lee, Hankyung; Chae, Jung-Hoon; Kim, Sangil

Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area

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수도권지역의 지상기반 원격탐사자료를 이용한 지표면 태양에너지 산출

Type: Academic journal

Author: Jee, Joon-Bum (강릉원주대학교 복사-위성연구소) Min, Jae-Sik (한국외국어대학교 대기환경연구센터) Lee, Hankyung (한국외국어대학교 대기환경연구센터) Chae, Jung-Hoon (한국외국어대학교 대기환경연구센터) Kim, Sangil (한국외국어대학교 대기환경연구센터)

Journal: 한국지구과학회 한국지구과학회지 한국지구과학회지 제39권 제3호 KCI Accredited Journals

Published: 2018.1

Pages: 228 - 240 (13page)

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Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area

Research history (2)

2018

Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area

Jee , Joon-Bum , Min and others 7 한국지구과학회지 2018.01 Academic journal

2015

수치표고모델(DEM)기반 지표면 태양에너지 산출

지준범 , 이규태 , 조일성 and others 2 한국기상학회 학술대회 논문집 2015.10 Proceeding

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Solar energy is calculated using meteorological (14 station), ceilometer (2 station) and microwave radiometer (MWR, 7 station)) data observed from the Weather Information Service Engine (WISE) on the Seoul metropolitan area. The cloud optical thickness and the cloud fraction are calculated using the back-scattering coefficient (BSC) of the ceilometer and liquid water path of the MWR. The solar energy on the surface is calculated using solar radiation model with cloud fraction from the ceilometer and the MWR. The estimated solar energy is underestimated compared to observations both at Jungnang and Gwanghwamun stations. In linear regression analysis, the slope is less than 0.8 and the bias is negative which is less than $-20W/m^2$. The estimated solar energy using MWR is more improved (i.e., deterministic coefficient (average $R^2=0.8$) and Root Mean Square Error (average $RMSE=110W/m^2$)) than when using ceilometer. The monthly cloud fraction and solar energy calculated by ceilometer is greater than 0.09 and lower than $50W/m^2$ compared to MWR. While there is a difference depending on the locations, RMSE of estimated solar radiation is large over $50W/m^2$ in July and September compared to other months. As a result, the estimation of a daily accumulated solar radiation shows the highest correlation at Gwanghwamun ($R^2=0.80$, RMSE=2.87 MJ/day) station and the lowest correlation at Gooro ($R^2=0.63$, RMSE=4.77 MJ/day) station.

#태양에너지 #마이크로웨이브 라디오미터 #운고계 #운량 #차세대도시농림융합기상사업단

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