Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-525-2017
https://doi.org/10.5194/gmd-10-525-2017
Model description paper
 | 
03 Feb 2017
Model description paper |  | 03 Feb 2017

Climate change inspector with intentionally biased bootstrapping (CCIIBB ver. 1.0) – methodology development

Taesam Lee

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Cited articles

Allen, M. R. and Ingram, W. J.: Constraints on future changes in climate and the hydrologic cycle, Nature, 419, 224–232, 2002.
Beersma, J. J. and Buishand, T. A.: Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation, Clim. Res., 25, 121–133, 2003.
Cai, Z.: Weighted Nadaraya-Watson regression estimation, Stat. Probabil. Lett., 51, 307–318, 2001.
Carlstein, E., Do, K. A., Hall, P., Hesterberg, T., and Kunsch, H. R.: Matched-block bootstrap for dependent data, Bernoulli, 4, 305–328, 1998.
Davison, A. C. and Hinkley, D. V.: Bootstrap Methods and their Application, Cambridge University Press, Cambridge, 1997.
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Short summary
The paper presents an explicit bias-resampling approach from observations in order to simulate global warming scenarios and to investigate the implications for hydrometeorological variables. The author considers that the suggested approach is easy to implement and to employ in other fields that are influenced by global warming.