격자 해상도에 따른 MK-PRISM 성능 분석
A Performance Analysis of MK-PRISM according to Resolution
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Abstract
In this study, we produced grid climate data sets of 1km×1km and 5km×5km horizontal resolutions based on MK (Modified Korean)-PRISM (Parameter-elevation Regressions on Independent Slopes Model), a statistical downscaling method that can estimate grid data of horizontal high-resolution using observational station data in Korea. To compare the MK-PRISM performance according to resolution, RMSEs of 1km resolution data and 5km resolution data were calculated and analyzed. The RMSEs of the two data sets were similar, but the results classified according to the elevation were different. The 1km high resolution estimated data was shown to better reflect the impact of the terrain for the daily mean temperature and daily maximum temperature, whereas the difference between the two data sets for daily minimum temperature was not statistically significant at each elevation. Furthermore, we also divided the temperature data into 9-classes based on the observed temperatures, and then compared the estimated performance of the two data sets according to elevation. For the low temperature group, performance of the 1km resolution data at high elevations outperformed that of the 5km resolution data, regardless of the season.
참고문헌 (21)
- Barnes, S. L., "A technique for maximizing details in numerical weather map analysis", Journal of Applied Meteorology, 3(4), pp.396~409 (1964)
- 최영은, "고해상도 격자 기후자료를 이용한 우리나라의 상세 기후지역구분과 미래 전망에 관한 연구", 기후연구, 13(4), pp.247~261 (2018), 기후연구소[DOI]
- Chu, H. -J., "Assessing the relationships between elevation and extreme precipitation with various durations in southern Taiwan using spatial regression models", Hydrological Process, 26(21), pp.3174~3181 (2012)
- Cressman, G. P., "An operational objective analysis system", Monthly Weather Review, 87(10), pp.367~374 (1959)
- Daly, C., "A knowledge-based approach to the statistical mapping of climate", Climate Research, 22(2), pp.99~113 (2002)
- Daly, C., "Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States", International Journal of Climatology, 28(15), pp.2031~2064 (2008)
- Daly, C., "Mapping the climate of Puerto Rico, Vieques and Culebra", International Journal of Climatology, 23(11), pp.1359~1381 (2003)
- Daly, C., "A statistical-topographic model for mapping climatological precipitation over mountainous terrain", Journal of Applied Meteorology and Climatology, 33(2), pp.140~158 (1994)
- 홍기옥, "GIS와 PRISM을 이용한 고해상도 격자형 기온자료 추정", 대기, 17(3), pp.255~268 (2007), 한국기상학회
- 김진욱, "독립적인 기온 감률에 기초한 MK-PRISM의 개선", 기후연구, 8(3), pp.203~215 (2013), 기후연구소[DOI]
- 김종필, "Daymet와 PRISM을 연계한 월 면적 강수량 추정", 한국방재학회논문집, 12(5), pp.83~90 (2012), 한국방재학회
- 김종필, "개선된 PRISM 모형을 이용한 고해상도 일강수량 추정", 대한토목학회논문집(국문), 34(4), pp.1139~1150 (2014), 대한토목학회[DOI]
- 김맹기, "1km 해상도의 관측 격자자료 생산 기술", 기후연구, 7(1), pp.55~68 (2012), 기후연구소
- 김맹기, "Statistical Downscaling for Daily Precipitation in Korea Using Combined PRISM, RCM, and Quantile Mapping: Part 1, Methodology and Evaluation in Historical Simulation", Asia-Pacific Journal of Atmospheric Sciences, 52(2), pp.79~89 (2016), 한국기상학회
- 김맹기, "남한 1km 해상도의 격자형 일 기상자료 생산과 검증", 기후연구, 8(1), pp.13~25 (2013), 기후연구소
- 김선애, "PRIDE 모델 버전 2.0의 검증", 기후연구, 13(1), pp.71~86 (2018), 기후연구소[DOI]
- 임윤정, "RCP 시나리오에 근거한 고해상도 미래 풍력 기상자원 분석", 기후연구, 11(1), pp.29~47 (2016), 기후연구소[DOI]
- 박종철, "풍속 내삽을 위한 MK-PRISM-Wind의 개발과 검증", 기후연구, 10(4), pp.313~327 (2015), 기후연구소[DOI]
- 박종철, "풍속 내삽에 활용하기 위한 MK-PRISM의 개선", 기후연구, 9(3), pp.225~241 (2014), 기후연구소[DOI]
- 신성철, "GIS와 PRISM을 이용한 고해상도 격자형 강수량 추정", 대기, 18(1), pp.71~81 (2008), 한국기상학회
- Simpson, J. J., "Comparing maps of mean monthly surface temperature and precipitation for Alaska and adjacent areas of Canada produced by two different methods", Arctic, 58(2), pp.137~161 (2005)