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2017 Sea Ice Model Intercomparison Project (SIMIP) Workshop

2017 SIMIP workshop

Photo SIMIPWorkshop2017The 2017 SIMIP workshop (March 29th noon - March 30th noon) was devoted to discussions about the sea ice simulations from the upcoming CMIP6 experiments (SIMIP), with three distinct aims:
1. To discuss and define best practices for the evaluation of sea-ice simulations against observations
2. To identify and define new remote sensing and in situ sea ice observations that will allow for improved model evaluation and initialization
3. To discuss and coordinate the analysis of CMIP6 sea ice simulations for improved understanding of sea ice processes and improved sea ice projections.

The SIMIP workshop was organized jointly with the Polar Prediction workshop, and took place in Bremerhaven, Germany from March 27th to 30th March 2017, and attracted 60 participants. Funding was provided by WCRP-CliC and the Government of Canada, Department of the Environment.

The aim of the 2017 SIMIP workshop was to coordinate the analysis of CMIP6 sea ice simulations for improved understanding of sea ice processes and improved sea ice projections, making use of the SIMIP-coordinated newly defined sea ice model output (Notz et al., 2016, GMD). After a few short overview talks about current challenges and new opportunities for sea ice simulation analysis and assessments, we had very successful break-out group discussions on several aspects of the sea ice system. These break-out groups identified several new targeted analysis efforts, with the goal of enhancing the process-level understanding of sea ice simulations and the cause of their biases. These are listed on the SIMIP website, with leaders identified for each topic, to facilitate the coordination of the analysis of CMIP6 sea ice output as it becomes available. Other topics of discussion were the need for better model documentation and the central collection of errors in model output files, which SIMIP is involved in coordinating and will link on its website as they become available.

More information can be found here:
SIMIP website