Evaluating CMIP6 model fidelity at simulating non-Gaussian temperature distribution tails

Under global warming, changes in extreme temperatures will manifest in more complex ways in locations where temperature distribution tails deviate from Gaussian. Confidence in global climate model (GCM) projections of temperature extremes and associated impacts therefore relies on the realism of sim...

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Veröffentlicht in:	Environmental research letters 2020-07, Vol.15 (7), p.74026
Hauptverfasser:	Catalano, A J, Loikith, P C, Neelin, J D
Format:	Artikel
Sprache:	eng
Schlagworte:	Brittleness Climate change climate models Climatic conditions CMIP6 Complexity Global climate models Global warming Normal distribution Northern Hemisphere Robustness Seasonal distribution Surface temperature Temperature Temperature distribution temperature extremes Winter
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