Uncertainties of climate projections are routinely assessed by considering simulations from
different models. Observations are used to evaluate models, yet there is a debate about …

Multi-model ensembles are commonly used in climate prediction to create a set of
independent estimates, and so better gauge the likelihood of particular outcomes and better …

Multimodel combination is a pragmatic approach to estimating model uncertainties and to
making climate projections more reliable. The simplest way of constructing a multimodel is to …

An ensemble of models can be interpreted in two ways. The first treats each model as an
approximation of the true system with some random error. Alternatively, the true system can …

Earth system models are complex and represent a large number of processes, resulting in a
persistent spread across climate projections for a given future scenario. Owing to different …

The usefulness of a climate-model simulation cannot be inferred solely from its degree of
agreement with observations. Instead, one has to consider additional factors such as …

On the Robustness of Emergent Constraints Used in Multimodel Climate Change
Projections of Arctic Warming in: Journal of Climate Volume 26 Issue 2 (2012) Jump to …

We establish the first intermodel comparison of seasonal to interannual predictability of
present‐day Arctic climate by performing coordinated sets of idealized ensemble predictions …

End users studying impacts and risks caused by human-induced climate change are often
presented with large multi-model ensembles of climate projections whose composition and …

The sixth Coupled Model Intercomparison Project (CMIP6) constitutes the latest update on
expected future climate change based on a new generation of climate models. To extract …