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• W2890970892 abstract "Significance The typical magnitude of coupled climate model biases is similar to the magnitude of the climate change that is expected on a centennial time scale. Using climate models for assessing future climate change therefore relies on the hypothesis that these biases are stationary or vary predictably. This hypothesis, however, has not been, and cannot be, tested directly. We compare the biases of individual models with respect to a multimodel mean for two very different climate states. Our comparison shows that under very large climate change the bias patterns of key climate variables do not change substantially. This provides a justification for using state-of-the-art climate models to simulate climate change and allows extending the range of climate model applications." @default.
• W2890970892 created "2018-09-27" @default.
• W2890970892 creator A5016922178 @default.
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• W2890970892 date "2018-09-04" @default.
• W2890970892 modified "2023-09-25" @default.
• W2890970892 title "Striking stationarity of large-scale climate model bias patterns under strong climate change" @default.
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• W2890970892 doi "https://doi.org/10.1073/pnas.1807912115" @default.
• W2890970892 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6156650" @default.
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• W2890970892 hasPublicationYear "2018" @default.
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