Early models successfully predicted global warming
[...]climate models have always been run on the fastest supercomputers available. [...]regional climate change is especially subject to unpredictable climate variability, which greatly limits forecasting potential - even on decadal timescales when the climate drivers are known5. [...]on the basis of...
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Published in | Nature (London) Vol. 578; no. 7793; pp. 1 - 2 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group
06.02.2020
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Subjects | |
Online Access | Get full text |
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Summary: | [...]climate models have always been run on the fastest supercomputers available. [...]regional climate change is especially subject to unpredictable climate variability, which greatly limits forecasting potential - even on decadal timescales when the climate drivers are known5. [...]on the basis of GMST forecasts alone, it is hard to predict, for example: to what extent sea level will rise; how ocean acidification caused by uptake of atmospheric CO2 will influence marine ecosystems; and the frequency and magnitude of future fires, droughts and floods. Scientists will have to continue to improve climate modelling and to increase their understanding of the effects of climate change, while keeping in mind the tension between the need for increased model resolution, greater representation of climatically relevant processes, and more simulations to characterize unpredictable climate variability. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0028-0836 1476-4687 |
DOI: | 10.1038/d41586-020-00243-w |