Visualization of 2D Uncertainty in Decadal Climate Predictions

Abstract

In recent years, climate prediction systems based on coupled climate models are used for investigating the climate predictability on a decadal time scale. Based on ensemble simulation techniques applied and hindcast experiments carried out first, the predictive skill of a system can be derived. The ensemble simulations used for the decadal climate predictions enable the issuing of probabilistic information along with the quantities predicted. In this work, we focus on the concurrent visualization of three related 2D fields: the forecast variable, here the 2m temperature anomaly, along with the corresponding predictive skill and the ensemble spread. We show exemplary solutions produced with three different visualization systems: NCL, Avizo Green and ParaView.