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NTIS 바로가기Journal of Korea Water Resources Association = 한국수자원학회논문집, v.53 no.4, 2020년, pp.249 - 258
Many climate studies have used the general circulation models (GCMs) for climate change, which can be currently available more than sixty GCMs as part of the Assessment Report (AR5). There are several types of uncertainty in climate studies using GCMs. Various studies are currently being conducted t...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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대표적인 편이보정방법으로 무엇을 사용하는가? | 이러한 차이를 줄이기 위해서 편이보정(Bias correction)방법이 사용된다. 현재 다양한 편이보정방법이 사용되며, 대표적으로 함수를 이용한 편이보정방법, 분위사상법(Quantile mapping) 등이 사용된다(Grillakis et al,2013; Moon et al., 2013; Song et al. | |
GCM의 원시 강수 자료와 관측소에서 측정된 강수량과의 차이를 줄이기 위해 무엇을 사용하는가? | GCM의 원시 강수 자료는 관측소에서 측정된 강수량과 차이가 발생한다. 이러한 차이를 줄이기 위해서 편이보정(Bias correction)방법이 사용된다. 현재 다양한 편이보정방법이 사용되며, 대표적으로 함수를 이용한 편이보정방법, 분위사상법(Quantile mapping) 등이 사용된다(Grillakis et al,2013; Moon et al. | |
기후변화 연구를 수행하는 연구자들은 대부분 무엇을 사용하여 연구를 수행하는가? | 기후변화 연구를 수행하는 연구자들은 대부분 전지구모형(General circulation models, GCMs)을 사용하여 통계학적으로 기후의 변동성과 기상 이변에 대한 연구를 수행한다(Hwang,2014; Mgangira, 2009). CMIP (Coupled Model IntercomparisonProject)은 전세계 30여개 기관들이 참여하여 GCM의 장기적인 미래기후 예측과 불확실성을 평가하고, 모든 결과를 저장하여 활용한다. |
Ahmed, K., Sachindra, D.A., Shahid, S., Demirel, M.C., and Chung, E.S. (2019). "Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial assessment metrics." Hydrology and Earth System Sciences, Vol. 23, pp. 4803-4824.
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Grillakis, M.G., Koutroulis, A.G., and Tsanis, I.K. (2013). "Multisegment statistical bias correction of daily GCM precipitation output." Journal of Geophysical research Atmospheres, Vol. 118, No. 8, pp. 3150-3162.
Gudmundsson, L., Bremnes, J.B., Haugen, J.E., and Engen-Skaugen, T. (2012). "Technical note: Downscaling RCM precipitation to the station scale using statistical transformations - a comparison of methods." Hydrology and Earth System Sciences, Vol. 16, pp. 3383-3390.
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Ines, A.V.M., and Hansen, J.W. (2006). "Bias correction of daily GCM rainfall for crop simulation studies." Agricultural and Forest Meteorology, Vol. 138, No. 1-4, pp. 44-53.
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Mgangira, M.B. (2009). "Impact of global warming on the East Asian winter monsoon as revealed by nine coupled atmosphere-ocean GCMs." Geophysical Research Letters, Vol. 33, No. 3, pp. 1-4.
Pang, B., Yue, J., Zhao, G., and Xu, Z. (2017). "Statistical downscaling of temperature with the random forest model." Advances in Meteorology, Vol. 2017, pp. 1-11.
Patricia, J.A., and Chung, E.S. (2019). "Uncertainty assessment in drought severities for the Cheongmicheon watershed using multiple GCMs and the reliability ensemble averaging method." Sustainability, Vol. 11, No. 16, p. 4823.
Piani, C., Weedon, G.P., Best, M., Gomes, S.M., Viterbo, P., Hagemann, S., and Haerterd, J.O. (2010). "Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models." Journal of Hydrology, Vol. 395, No. 3-4, pp. 199-215.
Shiru, M.S., Shahid, S., Chung, E.S., and Alias, N. (2019a). "Changing characteristics of meteorological droughts in Nigeria during 1901-2010." Atmospheric Research, Vol. 223, pp. 60-73.
Shiru, M.S., Shahid, S., Chung, E.S., Alias, N., and Scherer, L. (2019b). "A MCDM-based framework for projection of spatio-temporal rainfall changes using feature selection methods and random forest regression: A case study of Nigeria." Atmospheric Research, Vol. 225, pp. 1-16.
Sung, J.H., Chung, E.S., and Shahid S. (2018). "Reliability-Resiliency-Vulnerability approach for drought analysis in South Korea sing 28 GCMs." Sustainability, Vol. 10, pp.1-16.
Tobler, W.R. (1970). "A computer movie simulating urbuan growth in the detroit region." Economic Geography, Vol. 46, pp. 234 -240.
Wang, Q.J. (2013). "Toward accurate and reliable forecasts of Australian seasonal rainfall by calibrating and merging multiple coupled GCMs." Monthly Weather Review, Vol. 141, pp. 4554-4563.
Wilby, R.L., and Harris, I. (2006). "A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK." Water Resources Research, Vol. 42, pp. 1-10.
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