Predicting temperature and precipitation during the flood season based on teleconnection

Abstract In recent years, the damages resulting from abnormal hydrometeorological climate have substantially increased over world due to variability and change. Especially, flood damage has been severely occurred during season almost every year in Korea. For an example, we had localized heavy rainfalls for 54 days of 2020 huge property loss life. Therefore, study needs be conducted improve predictive power seasonal time-scale forecasts spanning one several months reduction prevention. this regard, aims provide a priori predictions (several ahead) variable at target sites with statistical method based on teleconnection global climatic conditions. Herein, paradigm temperature precipitation prediction Geum river basin Korea is presented. The purposes are also (1) analyse characteristics summer temperatures according occurrence El Niño/La Niña (2) suggest model that can consider effects Niño La season. constructed by classifying data period into Niño, Niña, neutral status. Then shown improves variables such as mid-latitude stations which located. demonstrates possibility improving forecasting considering variability.