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http://dx.doi.org/10.3741/JKWRA.2022.55.6.447

Estimation of grid-type precipitation quantile using satellite based re-analysis precipitation data in Korean peninsula  

Lee, Jinwook (Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University)
Jun, Changhyun (Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University)
Kim, Hyeon-joon (Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University)
Byun, Jongyun (Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University)
Baik, Jongjin (Department of Civil and Environmental Engineering, College of Engineering, Chung-Ang University)
Publication Information
Journal of Korea Water Resources Association / v.55, no.6, 2022 , pp. 447-459 More about this Journal
Abstract
This study estimated the grid-type precipitation quantile for the Korean Peninsula using PERSIANN-CCS-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record), a satellite based re-analysis precipitation data. The period considered is a total of 38 years from 1983 to 2020. The spatial resolution of the data is 0.04° and the temporal resolution is 3 hours. For the probability distribution, the Gumbel distribution which is generally used for frequency analysis was used, and the probability weighted moment method was applied to estimate parameters. The duration ranged from 3 hours to 144 hours, and the return period from 2 years to 500 years was considered. The results were compared and reviewed with the estimated precipitation quantile using precipitation data from the Automated Synoptic Observing System (ASOS) weather station. As a result, the parameter estimates of the Gumbel distribution from the PERSIANN-CCS-CDR showed a similar pattern to the results of the ASOS as the duration increased, and the estimates of precipitation quantiles showed a rather large difference when the duration was short. However, when the duration was 18 h or longer, the difference decreased to less than about 20%. In addition, the difference between results of the South and North Korea was examined, it was confirmed that the location parameters among parameters of the Gumbel distribution was markedly different. As the duration increased, the precipitation quantile in North Korea was relatively smaller than those in South Korea, and it was 84% of that of South Korea for a duration of 3 h, and 70-75% of that of South Korea for a duration of 144 h.
Keywords
Satellite based re-analysis precipitation data; Grid-type precipitation quantile; Frequency analysis; Korean peninsula; PERSIANN-CCS-CDR;
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