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  • Forschungsdaten  (2)
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    PANGAEA
    In:  Supplement to: Massonnet, François; Vancoppenolle, Martin; Goosse, Hugues; Docquier, David; Fichefet, Thierry; Blanchard-Wrigglesworth, Edward (2018): Arctic sea-ice change tied to its mean state through thermodynamic processes. Nature Climate Change, 7 pp, https://doi.org/10.1038/s41558-018-0204-z
    Publikationsdatum: 2023-01-13
    Beschreibung: One of the clearest manifestations of ongoing global climate change is the dramatic retreat and thinning of the Arctic sea-ice cover. While all state-of-the-art climate models consistently reproduce the sign of these changes, they largely disagree on their magnitude, the reasons for which remain contentious. As such, consensual methods to reduce uncertainty in projections are lacking. Here, using the CMIP5 ensemble, we propose a process-oriented approach to revisit this issue. We show that inter-model differences in sea-ice loss and, more generally, in simulated sea-ice variability, can be traced to differences in the simulation of seasonal growth and melt. The way these processes are simulated is relatively independent of the complexity of the sea-ice model used, but rather a strong function of the background thickness. The larger role played by thermodynamic processes as sea ice thins further suggests the recent and projected reductions in sea-ice thickness induce a transition of the Arctic towards a state with enhanced volume seasonality but reduced interannual volume variability and persistence, before summer ice-free conditions eventually occur. These results prompt modelling groups to focus their priorities on the reduction of sea-ice thickness biases.
    Materialart: Dataset
    Format: application/zip, 231.9 MBytes
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
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    PANGAEA
    In:  Supplement to: Massonnet, François; Bellprat, Omar; Guemas, Virginie; Doblas-Reyes, Francisco J (2016): Using climate models to estimate the quality of global observational data sets. Science, 354(6311), 452-455, https://doi.org/10.1126/science.aaf6369
    Publikationsdatum: 2023-01-13
    Beschreibung: Observational estimates of the climate system are essential to monitoring and understanding ongoing climate change and to assessing the quality of climate models used to produce near- and long-term climate information. This study poses the dual and unconventional question: Can climate models be used to assess the quality of observational references? We show that this question not only rests on solid theoretical grounds but also offers insightful applications in practice. By comparing four observational products of sea surface temperature with a large multimodel climate forecast ensemble, we find compelling evidence that models systematically score better against the most recent, advanced, but also most independent product. These results call for generalized procedures of model-observation comparison and provide guidance for a more objective observational data set selection.
    Schlagwort(e): arctic-Pacific
    Materialart: Dataset
    Format: application/zip, 210.3 MBytes
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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