Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6
<p>Partitioning uncertainty in projections of future climate change into contributions from internal variability, model response uncertainty and emissions scenarios has historically relied on making assumptions about forced changes in the mean and variability. With the advent of multiple singl...
Main Authors: | F. Lehner, C. Deser, N. Maher, J. Marotzke, E. M. Fischer, L. Brunner, R. Knutti, E. Hawkins |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-05-01
|
Series: | Earth System Dynamics |
Online Access: | https://www.earth-syst-dynam.net/11/491/2020/esd-11-491-2020.pdf |
Similar Items
-
Reduced global warming from CMIP6 projections when weighting models by performance and independence
by: L. Brunner, et al.
Published: (2020-11-01) -
Future Projections and Uncertainty Assessment of Precipitation Extremes in Iran from the CMIP6 Ensemble
by: Juyoung Hong, et al.
Published: (2021-08-01) -
Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles
by: Sonia I. Seneviratne, et al.
Published: (2020-09-01) -
Arctic sea ice area changes in CMIP3 and CMIP5 climate models’ ensembles
by: V. A. Semenov, et al.
Published: (2017-04-01) -
Future projections and uncertainty assessment of precipitation extremes in the Korean peninsula from the CMIP5 ensemble
by: Youngsaeng Lee, et al.
Published: (2020-02-01)