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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.11
- 수록면
- 121 - 130 (10page)
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초록· 키워드
오류제보하기
Much of knowledge on future climate change depends on projections from the simulation codes with global circulation models (GCMs) and regional climate models (RCMs). But even state-of-art simulation codes still have a rather coarse resolution and and are substantially biased compared to real-world climate. In an attempt to remove systematic biases between simulation model output and real observations, a variety of statistical bias correction (BC) methods has been developed. The methods are classified to univariate and multivariate ones. This study reviews these techniques with more emphasis on recently advanced multivariate methods. These includes delta change approach, quantile mapping, quantile delta mapping, empirical copula bias correction, multivariate quantile delta mapping and multivariate stochastic BC with optimal transport function. An application of multivariate BC method to annual daily extreme rainfall in Korea peninsula is presented. We applied an ensemble prediction with generalized extreme value distribution (GEVD) to the data obtained as simulated by the coupled model intercomparison project phase six (CMIP6) models. Simulation data under three RCP (Representative Concentration Pathway) scenarios, namely RCP 2.6, RCP 4.5 and RCP 8.5, are employed. The 20-year and 50-year return levels and return periods relative to the reference years (1973-2014) are estimated for two future periods, namely period 1 (2021-2050) and period 2 (2061-2099).
목차
Abstract
1. Introduction
2. Univariate Bias Correction Methods
3. Multivariate Bias Corrections
4. Application to Precipitation Extremes in Korea
5. Discussion and Conclusion
References
참고문헌 (38)
참고문헌 신청
Raty O / 2014 / Evaluation of delta change and bias correction methods for future daily precipitation: intermodel cross-validation using ENSEMBLES simulations / Clim Dyn 42:2287~2303
Young-Geun Choi / 2018 / A Study on Bias Effect on Model Selection Criteria in Graphical Lasso / Quantitative Bio-Science 37(2):133~141
Christensen JH / 2008 / On the need for bias correction of regional climate change projections of temperature and precipitation / Geophys Res Let 35:L20709
Boberg F / 2012 / Overestimation of Mediterranean summer temperature projections due to model deficiencies / Nat Clim Change 2:433~436
Maraun D / 2018 / Statistical downscaling and bias correction for climate research / Cambridge Univ Press
Young-Geun Choi / 2018 / A Study on Bias Effect on Model Selection Criteria in Graphical Lasso / Quantitative Bio-Science 37(2):133~141
Christensen JH / 2008 / On the need for bias correction of regional climate change projections of temperature and precipitation / Geophys Res Let 35:L20709
Boberg F / 2012 / Overestimation of Mediterranean summer temperature projections due to model deficiencies / Nat Clim Change 2:433~436
Maraun D / 2018 / Statistical downscaling and bias correction for climate research / Cambridge Univ Press
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UCI(KEPA) : I410-ECN-0101-2020-047-000138146