Abstract
Climate predictions and projections play a central role in informing adaptation decisions. However, users require reliable climate information across a wide range of timescales, from days, months, and seasons to years and decades, in order to support seamless decision-making. In this talk, I will present examples of predictability of the first and second kind, using Earth system projection and prediction models, and emphasise the importance of their slowly varying components. I will demonstrate how these models can be applied to address a range of climate and weather questions, from attribution and observational impact studies to user-relevant applications. A novel approach to combining different initialised forecast products will be illustrated, showing how seamless climate information can be provided across monthly to multi-annual timescales. This method supports the development of tailored information on climate extremes and better serves users who require climate information spanning these timescales.