Large-scale climate simulations help distinguish natural variability from human-driven change
In short: Researchers developed the CESM Large Ensemble, a massive suite of climate simulations, to better understand how natural fluctuations interact with global warming. By running 30 different versions of the same model with slight initial differences, the project allows scientists to see how internal climate variability can mimic or mask long-term climate trends.
The study uses a single model to replay the period from 1920 to 2100 under various forcing scenarios. This approach helps disentangle model errors from natural cycles, though the findings are based on large-scale computer simulations rather than direct physical observations.
Why it matters: Large ensembles of simulations are essential for distinguishing natural climate cycles from human-induced warming.
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