4: Assessing model performance in the polar regions
Co-leads: Hugues Goosse (Université catholique de Louvain, Belgium) and Jennifer Kay (National Center for Atmospheric Research, USA)
The goal of theme 4 is to perform comprehensive evaluation coupled models in the polar regions. This assessment of model performance must go beyond identifying model biases against trusted observational benchmarks and quantifying inter-model spread. The activities within this theme must ask "Why" questions to assess model performance. Why do models behave in a different ways? Why do they or don't they match observations? Answering "why" questions requires understanding important climate forcings and feedbacks and their process representation in models. This theme seeks to mitigate problems that arise from the frequent disconnect between model development and model evaluation timescales and barriers from limited personnel. As a result, a process-level link between model evaluation and improvement is a backbone of this initiative. Model evaluation and improvement should address the mean climate state but also changes in response to internal variability and external forcing.
