Six bias correction (BC) methods; delta-method (DT), linear scaling (LS), power
transformation of precipitation (PTR), empirical quantile mapping (EQM), gamma quantile …

A multivariate bias correction based on N‐dimensional probability density function transform
(MBCn) technique is applied to four different high‐resolution regional climate change …

Climate and land-use change affect the hydrologic cycle by altering the hydrological
responses including streamflow (SF), surface runoff (SR), base-flow (BF), and …

Understanding the effects of land use/cover change (LUCC) on regional climate is critical for
achieving land use system sustainability and global climate change mitigation. However, the …

Abstract Study region Omo-Gibe River Basin, Ethiopia Study focus The objective of this
study was to predict the impact of climate change on the future availability of water for …

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

With the acceleration in global warming, extreme hot temperatures have emerged as one of
the most prominent risks. In this study, we characterize the unprecedented extreme …

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 …

A conditional copula function based downscaling model in a fully Bayesian framework is
developed in this study to evaluate future changes in intensity–duration frequency (IDF) …

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 …