Found: 12
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Reduced global warming from CMIP6 projections when weighting models by performance and independence.
- Published in:
- Earth System Dynamics Discussions, 2020, p. 1, doi. 10.5194/esd-2020-23
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- Article
A weighting scheme to incorporate large ensembles in multi-model ensemble projections.
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- Earth System Dynamics Discussions, 2019, p. 1, doi. 10.5194/esd-2019-69
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- Article
Reduced global warming from CMIP6 projections when weighting models by performance and independence.
- Published in:
- Earth System Dynamics, 2020, v. 11, n. 4, p. 995, doi. 10.5194/esd-11-995-2020
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- Article
An investigation of weighting schemes suitable for incorporating large ensembles into multi-model ensembles.
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- Earth System Dynamics, 2020, v. 11, n. 3, p. 807, doi. 10.5194/esd-11-807-2020
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- Article
Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications.
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- Geoscientific Model Development, 2023, v. 16, n. 16, p. 4715, doi. 10.5194/gmd-16-4715-2023
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- Article
Removing Circulation Effects to Assess Central U.S. Land-Atmosphere Interactions in the CESM Large Ensemble.
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- Geophysical Research Letters, 2017, v. 44, n. 19, p. 9938, doi. 10.1002/2017GL074831
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- Article
Embracing an uncertain future.
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- Nature Geoscience, 2018, v. 11, n. 7, p. 466, doi. 10.1038/s41561-018-0130-8
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- Article
Climate model Selection by Independence, Performance, and Spread (ClimSIPS) for regional applications.
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/egusphere-2022-1520
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- Article
Summer U.S. Surface Air Temperature Variability: Controlling Factors and AMIP Simulation Biases.
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- Journal of Climate, 2016, v. 29, n. 14, p. 5123, doi. 10.1175/JCLI-D-15-0705.1
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- Article
The Stationarity of Dynamically-Driven European Temperature Variability in N x CO2 Multi-Century Simulation Ensembles.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Uncovering the forced climate response from observations or a single model run using statistical learning.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning.
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- Journal of Climate, 2019, v. 32, n. 17, p. 5677, doi. 10.1175/JCLI-D-18-0882.1
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- Article