We separate and quantify the sources of uncertainty in projections of regional (∼ 2,500 km)
precipitation changes for the twenty-first century using the CMIP3 multi-model ensemble …

This study considers the large uncertainty in projected changes in local precipitation. It aims
to map, and begin to understand, the relative roles of uncertain modelling and natural …

Uncertainty in future climate change presents a key challenge for adaptation planning. In
this study, uncertainty arising from internal climate variability is investigated using a new 40 …

This study provides a long-term (1891–2014) global assessment of precipitation trends
using data from two station-based gridded datasets and climate model outputs evolved …

A necessary condition for a good probabilistic forecast is that the forecast system is shown to
be reliable: forecast probabilities should equal observed probabilities verified over a large …

Estimates of impacts from anthropogenic climate change rely on projections from climate
models. Uncertainties in those have often been a limiting factor, in particular on local scales …

An analysis is presented of the dependence of the regional temperature and precipitation
change signal on systematic regional biases in global climate change projections. The …

Assessing the Robustness of Future Extreme Precipitation Intensification in the CMIP5
Ensemble in: Journal of Climate Volume 31 Issue 16 (2018) Jump to Content Jump to Main …

Assessment of climate change impacts on water resources is extremely challenging, due to
the inherent uncertainties in climate projections using global climate models (GCMs). Three …

Projected changes in precipitation extremes and their uncertainties are evaluated using an
ensemble of global climate models from phase 6 of the Coupled Model Intercomparison …