A climate model projection weighting scheme accounting for performance and interdependence
By Reto Knutti, J. Sedlacek, B. Sanderson, R. Lorenz, Erich Fischer, Veronika Eyring. 2017
377 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/2b3bb002e279abced3fc4aaeb333fc55655ed989
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- L. Brunner
- R. Lorenz
- A. Merrifield
- Flavio Lehner
- B. Sanderson
- A. Pendergrass
- Reto Knutti
- Michael F. Wehner
In Global and Planetary Change
- L. Brunner
- R. Lorenz
- A. Merrifield
- Flavio Lehner
- B. Sanderson
- A. Pendergrass
- Reto Knutti
- Michael F. Wehner
Citations in the corpus
- Reduced global warming from CMIP6 projections when weighting models by performance and independence (2020, methodology): “…done both regionally and globally as well as for a range of different target metrics such as end-of-century temperature change or transient climate response (TCR); for an overview, the reader is referred to studies such as Knutti et al. (2017a), Eyring et al. (2019), and Brunner et al. (2020b).”
- Skill and independence weighting for multi-model assessments (2016, methodology): “449 The solution proposed in this study adapted the idea first discussed in the 450 context of model sub-selection in Sanderson et al (2015) [7], and applied it 451 to a continuous general weighting scheme (in contrast to the sea-ice specific 452 weighting scheme outlined in [19]).”