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Volumn 2, Issue 4, 2016, Pages 211-220

Bias Correcting Climate Change Simulations - a Critical Review

Author keywords

Bias correction; Downscaling; Model output statistics; Regional climate modelling; Statistical post processing

Indexed keywords


EID: 85016163604     PISSN: None     EISSN: 21986061     Source Type: Journal    
DOI: 10.1007/s40641-016-0050-x     Document Type: Review
Times cited : (569)

References (80)
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    • COI: 1:CAS:528:DC%2BC2MXpvFClsA%3D%3D, This paper illustrates the role of large-scale circulation errors for downscaling and highlights the garbage-in garbage-out problem
    • Hall A. Science. 2014;346:1461. This paper illustrates the role of large-scale circulation errors for downscaling and highlights the garbage-in garbage-out problem
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    • This paper reveals that bias correction methods cannot add missing unresolved local variability. Any attempt to represent this will produce artefacts
    • 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.J.1
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    • This paper discusses, how different implementations of quantile-mapping or similar approaches alter the climate change signal
    • 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
    • (2015) J Hydrometeorol , vol.16 , Issue.6 , pp. 2421
    • Pierce, D.1    Cayan, D.2    Maurer, E.3    Abatzoglou, J.4    Hegewisch, K.5
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    • 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
    • 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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    • Shepherd, T.1
  • 59
    • 84881179096 scopus 로고    scopus 로고
    • This paper demonstrates the limitations of standard bias correction techniques in the presence of non-resolved feedback mechanisms
    • 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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    • Bellprat, O.1    Kotlarski, S.2    Lüthi, D.3    Schär, C.4
  • 62
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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
    • 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
    • (2014) Nat Clim Change , vol.4 , pp. 570
    • Kendon, E.1    Roberts, N.2    Fowler, H.3    Roberts, M.4    Chan, S.5    Senior, C.6
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    • This paper nicely demonstrates the consequences of circulation errors for bias correction
    • 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
    • (2016) J Geophys Res
    • Addor, N.1    Rohrer, M.2    Furrer, R.3    Seibert, J.4
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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
    • 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
    • (2015) Geophys Res Lett , vol.42 , pp. 1919
    • Haerter, J.1    Eggert, B.2    Moseley, C.3    Piani, C.4    Berg, P.5
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    • This paper presents one of the first statistical post-processing approaches that deliberately modify the climate change signal based on process understanding
    • Walton D, Sun F, Hall A, Capps S. J Climate. 2015;28(12):4597. This paper presents one of the first statistical post-processing approaches that deliberately modify the climate change signal based on process understanding
    • (2015) J Climate , vol.28 , Issue.12 , pp. 4597
    • Walton, D.1    Sun, F.2    Hall, A.3    Capps, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.