Integrated Drought Monitoring and Evaluation through Multi-Sensor Satellite-Based Statistical Simulation

Estimating Design Floods at Ungauged Watersheds in South Korea Using Machine Learning Models

Investigating the impacts of climate change and human activities on hydrological drought using non-stationary approaches

Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Drought risk assessment for future climate projections in the Nakdong River Basin, Korea

Drought Risk Analysis, Forecasting and Assessment under Climate Change

Probabilistic assessment of drought states using a dynamic naive Bayesian classifier

A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds

Changes in extreme rainfall and its implications for design rainfall using a Bayesian quantile regression approach

Exploring the influence of climate change-induced drought propagation on wetlands