Near-term climate change projections are strongly affected by the uncertainty from internal climate variability. Here, we present a novel approach to reduce this uncertainty by combining information from both observations and decadal predictions to constrain climate projections. This new method can outperform decadal predictions and unconstrained ensemble temperature forecasts in some regions. This improved regional climate information could support more near-term targeted adaptation strategies.