The quantile mapping method is a bias correction method that leads to a good performance
in terms of precipitation. Selecting an appropriate probability distribution model is essential …

This study assesses future changes in drought characteristics in response to different
emission scenarios over Korea based on multiple climate projections and multiple drought …

This study investigates the added value of very high resolution in long-term climate
simulations over South Korea using the Weather Research and Forecasting (WRF) model. A …

In this study, we investigate the impact of the spatial variability of daily precipitation on
hydrological projections based on a comparative assessment of streamflow simulations …

This study evaluates the performance of a deep learning model, Deep-learning-based Rain
Nowcasting and Estimation (DEEPRANE), for very short-term (1–6 h) rainfall forecasts in …

Short-duration precipitation extremes are widely used in the design of engineering
infrastructure systems and they also lead to high impact flash flood events and landslides …

This study evaluates the resolution dependency of scaling precipitation with temperature
from the perspective of the added value of high-resolution (5 km) dynamical downscaling …

Convective afternoon rainfall (CAR) events, which tend to generate a local rainfall typically
in the afternoon, are among the most frequently observed local weather patterns over …

Accurate nowcasting is critical for preemptive action in response to heavy rainfall events
(HREs). However, operational numerical weather prediction models have difficulty …

In this study, we assess whether dynamical downscaling using a regional climate model
(RCM) would provide added value against the driving global climate model (GCM) and …