On the dependency of GCM-based regional surface climate change projections on model biases, resolution and climate sensitivity

Author:

Giorgi Filippo,Raffaele Francesca

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference39 articles.

1. Adam JC, Lettemaier DP (2003) Adjustment of global gridded precipitation for systematic bias. Geophys Res Lett. https://doi.org/10.1029/2002JD002499

2. Ban N, Caillaud C, Coppola E et al (2021) The first multi-model ensemble of regional climate simulations at kilometer scale resolution. Part I: evaluation of precipitation. Clim Dyn. https://doi.org/10.1007/s00382-021-05708-w

3. Buser CM, Künsch HR, Lüthi D, Wild M, Schär C (2009) Bayesian multi-model projection of climate: Bias assumptions and interannual variability. Clim Dyn 33:849–868

4. Christensen JH, Hewitson B et al (2007) Regional climate projections. In: Solomon S et al. (eds) Chapter 11 of climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, p 996

5. Collins M, Knutti R et al (2013) Long term climate change: projections, commitments and irreversibility. In: Stocker TF et al (eds) Chapter 12 of climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, p 1535

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