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Applicability of a Space-time Rainfall Downscaling Algorithm Based on Multifractal Framework in Modeling Heavy Rainfall Events in Korean Peninsula

강우의 시공간적 멀티프랙탈 특성에 기반을 둔 강우다운스케일링 기법의 한반도 호우사상에 대한 적용성 평가

  • Received : 2014.08.18
  • Accepted : 2014.09.16
  • Published : 2014.09.30

Abstract

This study analyzed the applicability of a rainfall downscaling algorithm in space-time multifractal framework (RDSTMF) in Korean Peninsula. To achieve this purpose, the 8 heavy rainfall events that occurred in Korea during the period between 2008 and 2012 were analyzed using the radar rainfall imagery. The result of the analysis indicated that there is a strong tendency of the multifractality for all 8 heavy rainfall events. Based on the multifractal exponents obtained from the analysis, the parameters of the RDSTMF were obtained and the relationship between the average intensity of the rainfall events and the parameters of the RDSTMF was developed. Based on this relationship, the synthetic space-time rainfall fields were generated using the RDSTMF. Then, the generated synthetic space-time rainfall fields were compared to the observation. The result of the comparison indicated that the RDSTMF can accurately reproduce the multifractal exponents of the observed rainfall field up to 3rd order and the cumulative density function of the observed space-time rainfall field with a reasoable accuracy.

Keywords

downscaling;climate change;fractal;multifractal;rainfall;precipitation

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Cited by

  1. Analysis of Changes in Rainfall Frequency Under Different Thresholds and Its Synoptic Pattern vol.36, pp.5, 2016, https://doi.org/10.12652/Ksce.2016.36.5.0791
  2. Development of Radar Tracking Technique for the Short -Term Rainfall Field Forecasting- vol.48, pp.12, 2015, https://doi.org/10.3741/JKWRA.2015.48.12.995

Acknowledgement

Grant : 수문레이더기반 홍수예경보 및 폭설 추정 플랫폼 개발

Supported by : 한국건설기술연구원