한국농림기상학회지, 제 12권 제4호(2010) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 12, No. 4, (2010), pp. 232~237
DOI: 10.5532/KJAFM.2010.12.4.232
ⓒ Author(s) 2014. CC Attribution 3.0 License.


한국의 2011-2100년 기후변화가 고추 탄저병 살균제
살포에 미치는 영향

최미희(1), 윤진일(2), 정유란(1), 문경환(3)
(1)국가농림기상센터, (2)경희대학교 생태시스템공학과, (3)국립원예특작과학원 온난화대응농업연구센터

(2010년 11월 22일 접수; 2010년 12월 27일 수정; 2010년 12월 29일 수락)

Performance of Angstrom-Prescott Coefficients under Different Time
Scales in Estimating Daily Solar Radiation in South Korea
Mi-Hee Choi(1), Jin I. Yun(2), Uran Chung(1), Kyung-Hwan Moon(3)
(1)National Center for Agro-Meteorology, Seoul National University, Seoul 151-742, Korea
(2)Department of Ecosystem Engineering, Kyung Hee University, Yongin 446-701, Korea
(3)National Institute of Subtropical Agriculture, RDA, Jeju 690-150, Korea

(Received November 22, 2010; Revised December 27, 2010; Accepted December 29, 2010)

ABSTRACT
While global solar radiation is an essential input variable in crop models, the observation stations are relatively sparse compared with other meteorological elements. Instead of using measured solar radiation, the Angstrom-Prescott model estimates have been widely used. Monthly data for solar radiation and sunshine duration are a convenient basis for deriving Angstrom-Prescott coefficients (a, b), but it is uncertain whether daily solar radiation could be estimated with a sufficient accuracy by the monthly data – derived coefficients. We derived the Angstrom-Prescott coefficients from the 25 years observed global solar radiation and sunshine duration data at 18 locations across South Korea. In order to figure out any improvements in estimating daily solar radiation by replacing monthly data with daily data, the coefficients (a, b) for each month were derived separately from daily data and monthly data. Local coefficients for eight validation sites were extracted from the spatially interpolated maps of the coefficients and used to estimate daily solar radiation from September 2008 to August 2009 when, pyranometers were operated at the same sites for validation purpose. Comparison with the measured radiation showed a better performance of the daily data – derived coefficients in estimating daily global solar radiation than the monthly data – derived coefficients, showing 9.3% decrease in the root mean square error (RMSE).

Keyword: Angstrom-Prescott coefficient, Global solar radiation, Sunshine duration, Atmospheric transmission

MAIN

적요

작물모형의 필수 입력자료인 일간 누적일사량은 다른 기상요소들에 비해 관측밀도가 낮아 대안으로서 일조시간을 기반으로 한 Angstrom-Prescott 모형 추정값이 널리 사용되고 있다. 추정의 간편성 때문에 월 단위 일사량 및 일조시간 자료가 모형의 계수(Angstrom-Prescott coefficients, 이하 A-P 계수) 도출에 사용되고 있지만 작물생육모형에서 요구하는 일간 일사량을 추정하는 데는 한계가 있다. A-P 계수 도출에 월 단위 자료 대신 일 단위 자료를 사용함으로써 기대되는 개선효과를 판정하기 위해 일사량과 일조시간을 동시에 관측하는 국내 18개 기상대의 25년 간(1983~2007) 일단위 및 월 단위 자료로부터 A-P 계수를 각각 도출하였다. 이 계수들의 공간분포로부터 일사 미관측 기상대 8곳의 A-P 계수를 추출하고 지점별 일 단위 및 월 단위 계수를 실측 일조시간자료에 적용하여 2008년 9월부터 2009년 8월까지 일사량을 일별로 추정하였다. 같은 기간 중 이들 일사 미관측기상대에 검증용일사계를 설치하여 얻은 실측 일사량자료와 비교한 결과 일 단위자료 기반의 추정오차가 월 단위자료 기반오차에 비해 평균 9.3% 적었다.

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