Abstract:Extreme temperature events have traditionally been detected assuming a
unimodal distribution of temperature data. We found that surface
temperature data can be described more accurately with a multimodal
rather than a unimodal distribution. Here, we applied Gaussian Mixture
Models (GMM) to daily near-surface maximum air temperature data from the
historical and future Coupled Model Intercomparison Project Phase 6
(CMIP6) simulations for 46 land regions defined by the Intergovernmental
Panel on Climate Change (I… Show more
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