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© 2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

A better understanding of the role of sea ice for the changing climate of our planet is the central aim of the diagnostic Coupled Model Intercomparison Project 6 (CMIP6)-endorsed Sea-Ice Model Intercomparison Project (SIMIP). To reach this aim, SIMIP requests sea-ice-related variables from climate-model simulations that allow for a better understanding and, ultimately, improvement of biases and errors in sea-ice simulations with large-scale climate models. This then allows us to better understand to what degree CMIP6 model simulations relate to reality, thus improving our confidence in answering sea-ice-related questions based on these simulations. Furthermore, the SIMIP protocol provides a standard for sea-ice model output that will streamline and hence simplify the analysis of the simulated sea-ice evolution in research projects independent of CMIP. To reach its aims, SIMIP provides a structured list of model output that allows for an examination of the three main budgets that govern the evolution of sea ice, namely the heat budget, the momentum budget, and the mass budget. In this contribution, we explain the aims of SIMIP in more detail and outline how its design allows us to answer some of the most pressing questions that sea ice still poses to the international climate-research community.

Details

Title
The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations
Author
Notz, Dirk 1   VIAFID ORCID Logo  ; Jahn, Alexandra 2   VIAFID ORCID Logo  ; Holland, Marika 3 ; Hunke, Elizabeth 4 ; Massonnet, François 5   VIAFID ORCID Logo  ; Stroeve, Julienne 6 ; Tremblay, Bruno 7 ; Vancoppenolle, Martin 8   VIAFID ORCID Logo 

 Max Planck Institute for Meteorology, Hamburg, Germany 
 Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research, University of Colorado at Boulder, Boulder, Colorado, USA 
 Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA 
 Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA 
 Earth Sciences Department, Barcelona Supercomputing Center (BSC-CNS), Barcelona, Spain; Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium 
 National Snow and Ice Data Center, Boulder, Colorado, USA; University College London, London, UK 
 Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, Canada 
 Sorbonne Universités, UPMC Paris 6, LOCEAN-IPSL, CNRS/IRD/MNHN, Paris, France 
Pages
3427-3446
Publication year
2016
Publication date
2016
Publisher
Copernicus GmbH
ISSN
1991962X
e-ISSN
19919603
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2414019462
Copyright
© 2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.