Magnitudes and Spatial Patterns of Interdecadal Temperature Variability in CMIP6
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2020-04-16
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Attribution and prediction of global and regional warming requires a better understanding of the magnitude and spatial characteristics of internal global mean surface air temperature (GMST) variability. We examine interdecadal GMST variability in Coupled Modeling Intercomparison Projects, Phases 3, 5, and 6 (CMIP3, CMIP5, and CMIP6) preindustrial control (piControl), last millennium, and historical simulations and in observational data. We find that several CMIP6 simulations show more GMST interdecadal variability than the previous generations of model simulations. Nonetheless, we find that 100-year trends in CMIP6 piControl simulations never exceed the maximum observed warming trend. Furthermore, interdecadal GMST variability in the unforced piControl simulations is associated with regional variability in the high latitudes and the east Pacific, whereas interdecadal GMST variability in instrumental data and in historical simulations with external forcing is more globally coherent and is associated with variability in tropical deep convective regions.
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Parsons, LA, MK Brennan, RCJ Wills and C Proistosescu (2020). Magnitudes and Spatial Patterns of Interdecadal Temperature Variability in CMIP6. Geophysical Research Letters, 47(7). 10.1029/2019GL086588 Retrieved from https://hdl.handle.net/10161/26193.
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Luke Parsons
Luke Parsons is a climate researcher and lecturer. He teaches about climate change and climate impacts and studies climate dynamics, drought, and climate change + deforestation + emissions impacts on the environment, human health, well-being, and the economy. In addition to his work as a researcher, Luke is also a Wilderness First Responder and former NOLS instructor who enjoys backpacking, climbing, and taking panoramic landscape photographs.
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