Recent years have witnessed global massive property losses and casualties caused by
extreme precipitation and its subsequent natural disasters, including floods and landslides …

The traditional dynamical downscaling (TDD) method employs continuous integration of
regional climate models (RCM) with the general circulation model (GCM) providing the initial …

The implementation of large-scale vegetation restoration over the Chinese Loess Plateau
has achieved clear improvements in vegetation fraction, as evidenced by large areas of …

Statistical downscaling and dynamical downscaling are two approaches to generate high‐
resolution regional climate models based on the large‐scale information from either …

Convolutional neural network (CNN) is an effective tool for extracting interpretable
information from big data and has been recently used as a promising approach for statistical …

This study investigates the trends of precipitation and temperature extremes for the historical
observations (1961–1990) and future period (2061–2090) in the Jhelum River Basin. Future …

Tibetan Plateau (TP, with the height> 3000 m) is a region with complex topographical
features and a large diversity of climate both in space and time. The use of higher resolution …

Understanding future climate change is crucial for securing and managing water supplies
necessary for agricultural activities in China, particularly in rainfed agriculture regions. This …

Projected near-future changes in mean and extreme precipitation by the end of the mid-21st
century over China are investigated using the latest CMIP6 HighResMIP simulations …

Abstract Changes in the seasonal precipitation regime induced by global climate change
may alter moisture and the dynamics of related microbes and enzymes, thereby significantly …