Application of Bias-Correction and Stochastic Analogue Method (BCSA) to Statistically Downscale Daily Precipitation over South Korea

Syewoon Hwang; Imgook Jung; Siho Kim; Jaepil Cho

doi:10.5389/KSAE.2021.63.6.049

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2021 Vol.63, Issue 6 Preview Page Next Page

Application of Bias-Correction and Stochastic Analogue Method (BCSA) to Statistically Downscale Daily Precipitation over South Korea 남한지역 일단위 강우량 공간상세화를 위한 BCSA 기법 적용성 검토

2021. pp. 49-60

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Abstract

BCSA (Bias-Correction and Stochastic Analog) is a statistical downscaling technique designed to effectively correct the systematic errors of GCM (General Circulation Model) output and reproduce basic statistics and spatial variability of the observed precipitation filed. In this study, the applicability of BCSA was evaluated using the ASOS observation data over South Korea, which belongs to the monsoon climatic zone with large spatial variability of rainfall and different rainfall characteristics. The results presented the reproducibility of temporal and spatial variability of daily precipitation in various manners. As a result of comparing the spatial correlation with the observation data, it was found that the reproducibility of various climate indices including the average spatial correlation (variability) of rainfall events in South Korea was superior to the raw GCM output. In addition, the needs of future related studies to improve BCSA, such as supplementing algorithms to reduce calculation time, enhancing reproducibility of temporal rainfall patterns, and evaluating applicability to other meteorological factors, were pointed out. The results of this study can be used as the logical background for applying BCSA for reproducing spatial details of the rainfall characteristic over the Korean Peninsula.

Keywords

BCSA

statistical downscaling

GCM output

variability of precipitation

References

REFERENCES

J. P. Cho, S. K. Yoon and J. P. Kim, Korean Society of Civil Engineers, Impact of climate change on streamflows in Gwangdong Dam watershed by considering uncertainty; 1778-1781, (in Korean) (2013)

Y. S. Gwak, J. P. Cho, I. G. Jung, D. W. Kim and S. M. Jang, Journal of Climate Change Research, Projection of future changes in drought characteristics in Korea peninsula Using effective drought index, 9(1); 31-45, (in Korean) (2018)10.15531/ksccr.2018.9.1.31

H. P. Hong, S. Y. Park, T. W. Kim and J. H. Lee, Journal of Korea Water Resources Association, Assessment of CMIP5 GCMs for future extreme drought analysis, 51(7); 617-627, (in Korean) (2018)10.3741/JKWRA.2018.51. 7.617

S. Hwang and W. Graham, Hydrology and Earth System Sciences, Development and comparative evaluation of a stochastic analog method to downscale daily GCM precipitation, 17(11); 4481-4502 (2013)10.5194/hess-17-4481-2013

S. Hwang and W. Graham, Journal of the American Water Resources Association, Assessment of alternative methods for statistically downscaling daily GCM precipitation ouputs to simulate regional streamflow, 50(4); 1010-1032 (2014)10.1111/jawr.12154

S. Hwang, W. Graham, J. Geurink and A. Adams, Journal of Hydrology, Hydrologic implications of errors in bias-corrected regional reanalysis data for west central Florida, 510; 513-529 (2014)10.1016/j.jhydrol.2013.11.042

S. Hwang, J. Cho and K. S. Yoon, Journal of Korea Water Resources Association, Assessing the skills of CMIP5 GCMs in reproducing spatial climatology of precipitation over the coastal area in East Asia, 51(8); 629-642, (in Korean) (2018)

C. Kim, J. Park and J. Cho, Journal of Climate Change Research, Future climate change impact assessment of Chungju Dam inflow considering selection of GCMs and downscaling technique, 9(1); 47-58, (in Korean) (2018)10.15531/ksccr.2018.9.1.47

D. H. Kim, T. Jang, S. Hwang and J. Cho, Journal of the Korean Society of Agricultural Engineers, Assessing hydrologic impacts of climate change in the Mankyung watershed with different GCM spatial downscaling methods, 61(6); 81-92, (in Korean) (2019)10.5389/KSAE.2019.61.6.081

S. Kim, C. Jung, J. Park, S. Jung and S. Kim, Journal of the Korean Society of Agricultural Engineers, Parameter estimation of VfloTM distributed Rainfall-Runoff model by areal rainfall calculation methods –For Dongchon watershed of Geumho River-, 55(1); 9-15, (in Korean) (2013)10.5389/ksae.2013.55.1.009

J. Park, M. Kang and I. Song, Journal of the Korean Society of Agricultural Engineers, Bias correction of RCP-based future extreme precipitation using quantile mapping method; for 20-Weather Stations of South Korea, 54(6); 133-142, (in Korean) (2012)10.5389/ksae.2012.54.6.133

J. Park, J. Cho, E. J. Lee and I. Jung, Journal Of The Korean Society of Rural Planning, Evaluation of reference evapotranspiration in South Korea according to CMIP5 GCMs and estimation methods, 23(4); 156-168, (in Korean) (2017)10.7851/Ksrp.2017.23.4.153

Y. Song, E. S. Chung and J. Sung, Journal of Korea Water Resources Association, Selection framework of representative general circulation models using the selected best bias correction method, 52(5); 337-347, (in Korean) (2019)10.3741/JKWRA.2019.52.5.337

Information

Publisher :The Korean Society of Agricultural Engineers
Publisher(Ko) :한국농공학회
Journal Title :Journal of Korean Society of Agricultural Engineers
Journal Title(Ko) :한국농공학회논문집
Volume : 63
No :6
Pages :49-60
Received Date : 2021-09-23
Revised Date : 2021-10-23
Accepted Date : 2021-10-26
DOI :https://doi.org/10.5389/KSAE.2021.63.6.049

Journal of Korean Society of Agricultural Engineers ISSN:1738-3692(Print) 2093-7709(Online) 한국농공학회논문집

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REFERENCES