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.

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3: Improve understanding of polar predictability on seasonal to decadal timescales

Co-Leads: Ed Hawkins (University of Reading, UK) and John Fyfe (CCCma, Canada)

The goal of theme 3 is to coordinate research that investigates the physical mechanisms that give rise to polar climate predictability on seasonal to multi-decadal timescales. The intent is to ascertain the potential for improving the actual skill of operational climate predictions for polar regions. The participants of this group will coordinate and collaborate with operational forecasters wherever possible. An important focus would be the impacts of polar variability on lower latitudes, for which there is growing evidence. This theme aims to apply understanding of the system gained through investigating seasonal to decadal prediction to guide observational network design and deepen our understanding of longer timescales and validate and/or improve models for all timescales.

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1: Improve knowledge and understanding of past polar climate variations (100+ years)

Co-leads: Sarah Gille (Scripps Institution of Oceanography, USA) and Julie Jones (University of Sheffield, UK)

The goal of theme 1 is to understand changes in the polar regions that are occurring and the processes behind them by considering a variety of resources that are available from the last century and longer in a unified, multi-disciplinary way. Theme participants will bring together estimates of past behavior in the polar regions, such as instrumental and proxy data records, modeling, and reanalyses techniques, in an optimal manner, to obtain estimates of past variability and change. These efforts can also help in the design of optimized observing systems for detecting and attributing changes, and quantifying the impact of maintaining or obtaining certain observations. We intend to identify new data records of the 20th century that have recently become available, which are especially important in the presatellite era. Models can potentially be used to enhance state reconstructions through forward data simulations.

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What is PCPI?

The Polar Climate Predictability Initiative (PCPI) is an initiative of the World Climate Research Programme (WCRP), whose goal is to improve the understanding…

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Venue

The SOOS SSG will take place at the Norwegian Polar Institute located on the 5th floor of the Fram Centre,…

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Modeling

MISOMIP1 The first stage of MISOMIP activities (MISOMIP1, 2014-...) consisted of an idealized model intercomparison exercise with 3 components: MISMIP+:…

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