Climate models are our major source of knowledge about climate change. The impacts of
climate change are often quantified by impact models. Whereas impact models typically …

We review the challenges and future perspectives of regional climate model (RCM), or
dynamical downscaling, activities. Among the main technical issues in need of better …

The year 2019 marks the thirtieth anniversary of the development of the first regional climate
model (RCM), and here an overview is provided of the progress in regional modeling …

Climate change is likely to pose enormous challenges for agriculture, water resources,
infrastructure, and livelihood of millions of people living in South Asia. Here, we develop …

Reanalysis models are rapidly gaining popularity for simulating wind power output due to
their convenience and global coverage. However, they should only be relied upon once …

Most bias correction algorithms used in climatology, for example quantile mapping, are
applied to univariate time series. They neglect the dependence between different variables …

Background One of the most important consequences of climate change could be its effects
on agriculture. Although much research has focused on questions of food security, less has …

This paper presents a review of trend analysis of extreme precipitation and hydrological
floods in Europe based on observations and future climate projections. The review …

An extreme (weather or climate) event is generally defined as the occurrence of a value of a
weather or climate variable above (or below) a threshold value near the upper (or lower) …

Despite the increasing use of regional climate model (RCM) simulations in hydrological
climate-change impact studies, their application is challenging due to the risk of …