Approximately 10 years ago, convection‐permitting regional climate models (CPRCMs)
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …

In urban areas, hydrological processes are characterized by high variability in space and
time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last …

Accurate and high-resolution data reflecting different climate scenarios are vital for policy
makers when deciding on the development of future energy resources, electrical …

气候变化与人类活动对水文过程产生了重大影响, 估计和区分二者的影响是水科学研究中的热点
问题. 针对气候变化和人类活动(土地利用/覆盖变化) 两个驱动因素, 分别综述了气候变化 …

Quantile mapping is routinely applied to correct biases of regional climate model simulations
compared to observational data. If the observations are of similar resolution as the regional …

Global change encompasses changes in the characteristics of inter-related climate variables
in space and time, and derived changes in terrestrial processes, including human activities …

Precipitation downscaling improves the coarse resolution and poor representation of
precipitation in global climate models and helps end users to assess the likely hydrological …

Uncertainty estimation of climate change impacts has been given a lot of attention in the
recent literature. It is generally assumed that the major sources of uncertainty are linked to …

There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …

General Circulation Models (GCMs) suggest that rising concentrations of greenhouse gases
will have significant implications for climate at global and regional scales. Less certain is the …