Received: 16 October 2018 Revised: 23 July 2019 Accepted: 16 October 2019 DOI: 10.1002/met.1853 RESEARCH ARTICLE Statistical prediction of typhoon-induced accumulated rainfall over the Korean Peninsula based on storm and rainfall data Hye-Ji Kim1 | Il-Ju Moon1 | Minyeong Kim2 1Typhoon Research Center/Graduate School of Interdisciplinary Program in Abstract Marine Meteorology, Jeju National A statistical model for typhoon-induced accumulated rainfall (TAR) prediction University, Jeju, South Korea over the Korean Peninsula using track, intensity and rainfall data of 2 National Typhoon Center, Korea 91 typhoons affecting the peninsula during the period 1977–2014 is developed. Meteorology Administration, Jeju, South Korea The statistical estimation of the TAR consists of three steps: (1) estimating the TAR at 56 observational weather stations for the 91 typhoons; (2) selecting Correspondence typhoons whose tracks are similar to that of the target typhoon within the area Il-Ju Moon, Typhoon Research Center/ Graduate School of Interdisciplinary of 32–40 N and 120–138 E using a fuzzy C-mean clustering method; and Program in Marine Meteorology, Jeju (3) calculating the mean TAR for the 16 selected typhoons based on track simi- National University, 102 Jejudaehak-ro, Jeju 63243, South Korea. larity after an intensity correction of the TAR using a linear regression Email:
[email protected] between the TAR and intensity anomaly. To validate the model, real case pre- dictions were performed on typhoons Chan-hom and Goni in 2015 and com- Funding information National Research Foundation of Korea pared with the observed TARs as well as with those from local and global (NRF), Grant/Award Number: operational models.