The Development of a Rainfall Correction Technique based on Machine Learning for Hydrological Applications |
Lee, Young-Mi
(ECOBRAIN Co. Ltd.)
Ko, Chul-Min (ECOBRAIN Co. Ltd.) Shin, Seong-Cheol (ECOBRAIN Co. Ltd.) Kim, Byung-Sik (Department of Urban & Environmental Disaster Prevention Engineering, Kangwon National University) |
1 | Hong, W. C., 2008, Rainfall forecasting by technological machine learning models, AMC, 200, 41-57. |
2 | Hwang, D. I., Lee, J. H., Seo, D. I., Nah, H. J., Seo, Y. K., 2015, Short-term and 1-hour rain forecast improvement using extrapolation prediction techniques, Proceedings of the Autumn Meeting of Korean Meteorological Society, 260-261. |
3 | Kang, B. S., Lee, B. K., 2011, Application of artificial neural network to improve quantitative precipitation forecasts of meso-scale numerical weather prediction, JKWRA, 44(2), 97-107. |
4 | Ke, G., Meng, Q., Finely, T., Wang, T., Chen, W., Ma, W., Ye, Q., Liu, T. Y., 2017, LightGBM: A Highly efficient gradient boosting decision tree, 31st conference on neural information processing systems, 3149-3157. |
5 | Kim, B. S., Kim, B. K., Kim, H. S., 2008, Flood simulation using the gauge-adjusted radar rainfall and physics-based distributed hydrologic model, hydrol. Process., 22, 4400-4414. DOI |
6 | Kim, S. H., Kim, H. M., Kay, J. K., Lee, S. W., 2015, Development and evaluation of the high resolution limited area ensemble prediction system in the korea meteorological administration, atmosphere, 25, 67-83. DOI |
7 | K-Water, 2016, https://www.water.or.kr/encyclopedia/encyclopedia/encyclopediaview.do?seq=527&p_group_seq=526&menu_mode=4¤tPageNo=1&search_Hangulindex=&search_Engindex=&TERM_SEQNO=4485&HANGULTERM=&ENGTERM=&COMM_CODE=&ATTFILE_SEQNO=&languege=h&searchText=concentrationrainfall. |
8 | Met Office, 2017, Flood Guidance Statement User Guide. |
9 | Ministry of Public Safety and Security, 2015, Statistical yearbook of natural disaster. |
10 | Moore, R. J., Cole, S. J., Dunn, S., Ghimire, S., Golding, B. W., Pierce, C. E., Roberts, N. M., Speight, L., 2015, Surface water flood forecasting for urban communities, Aberdeen, CREW, 32. (CREW Report CRW2012_03, CEH Project no. C04830). |
11 | Parmar, A., Mistree, K., Sompura, M., 2017, Machine learning techniques for rainfall prediction: A Review, Conference: 2017 international conference on innovations in information embedded and communication systems. |
12 | Sumi, S. M., Zaman, M. F., Hirose, H., 2012, A Rainfall forecasting method using machine laerning models and its application to the Fukuoka city case, Int. J. Appl. Math. Comput. Sci., 22(4), 841-854. DOI |
13 | WMO (World Meteorological Organization), 2011, Manual on flood forecasting and warning, WMO-No.1072, Geneva, Switzerland. |
14 | Korea Meteorological Administration, 2017, Meteorological Technology & policy, 10(1). |