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Maraun D. J Climate. 2013;26:2137. This paper reveals that bias correction methods cannot add missing unresolved local variability. Any attempt to represent this will produce artefacts
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Maraun D, Shepherd T, Widmann M, Zappa G, Walton D, Hall A, Gutierrez JM, Hagemann S, Richter I, Soares P, Mearns L. submitted 2016. This paper illustrates problems and artefacts that may occur when applying bias correction without a thorough understanding of the underlying processes
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Pierce D, Cayan D, Maurer E, Abatzoglou J, Hegewisch K. J Hydrometeorol 2015;16(6):2421. This paper discusses, how different implementations of quantile-mapping or similar approaches alter the climate change signal
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Shepherd T. Nat Geosci. 2014;7:703. This paper discusses that we have confidence mainly in thermodynamic changes of climate. Dynamical changes, which strongly control regional climate change, are much more uncertain
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Bellprat O, Kotlarski S, Lüthi D, Schär C. Geophys Res Lett. 2013;40:4042. This paper demonstrates the limitations of standard bias correction techniques in the presence of non-resolved feedback mechanisms
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This paper demonstrates that very high resolution simulations might be necessary to represent changes summer extreme rainfall - which illustrates the relevance of having a sufficient resolution of input for bias correction
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Kendon E, Roberts N, Fowler H, Roberts M, Chan S, Senior C. Nat Clim Change. 2014;4: 570. This paper demonstrates that very high resolution simulations might be necessary to represent changes in summer extreme rainfall - which illustrates the relevance of having a sufficient resolution of input for bias correction
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Nat Clim Change
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Addor N, Rohrer M, Furrer R, Seibert J. J Geophys Res 2016. This paper nicely demonstrates the consequences of circulation errors for bias correction, which should be considered when correcting biases originating in large-scale GCM fields
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This paper provides a nice idea to compare data at different spatial and temporal scales. It might prove useful to avoid the scale gap between model and observational data for evaluation
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Haerter J, Eggert B, Moseley C, Piani C, Berg P. Geophys Res Lett. 2015;42:1919. This paper provides a nice idea to compare data at different spatial and temporal scales. It might prove useful to avoid the scale gap between model and observational data for evaluation
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Geophys Res Lett
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