A method to preserve trends in quantile mapping bias correction of climate modeled temperature

Grillakis, Manolis G.; Koutroulis, Aristeidis G.; Daliakopoulos, Ioannis N.; Tsanis, Ioannis K.

doi:https://doi.org/10.5194/esd-8-889-2017

Articles | Volume 8, issue 3

https://doi.org/10.5194/esd-8-889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esd-8-889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Research article

|

28 Sep 2017

Research article |

| 28 Sep 2017

A method to preserve trends in quantile mapping bias correction of climate modeled temperature

Manolis G. Grillakis, Aristeidis G. Koutroulis, Ioannis N. Daliakopoulos, and Ioannis K. Tsanis

Supplement

https://doi.org/10.5194/esd-8-889-2017-supplement

Data sets

A new daily central England temperature series (https://www.metoffice.gov.uk/hadobs/hadcet/) D. E. Parker, T. P. Legg, and C. K. Folland https://doi.org/10.1002/joc.3370120402

EURO-CORDEX: new high-resolution climate change projections for European impact research (https://esg-dn1.nsc.liu.se/search/cordex/) D. Jacob, J. Petersen, B. Eggert, A. Alias, O. B. Christensen, L. M. Bouwer, A. Braun, A. Colette, M. Déqué, G. Georgievski, E. Georgopoulou, A. Gobiet, L. Menut, G. Nikulin, A. Haensler, N. Hempelmann, C. Jones, K. Keuler, S. Kovats, N. Kröner, S. Kotlarski, A. Kriegsmann, E. Martin, E. van Meijgaard, C. Moseley, S. Pfeifer, S. Preuschmann, C. Radermacher, K. Radtke, D. Rechid, M. Rounsevell, P. Samuelsson, S. Somot, J.-F. Soussana, C. Teichmann, R. Valentini, R. Vautard, B. Weber, and P. Yiou https://doi.org/10.1007/s10113-013-0499-2

A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006 (http://www.ecad.eu) M. R. Haylock, N. Hofstra, A. M. G. Klein Tank, E. J. Klok, P. D. Jones, and M. New https://doi.org/10.1029/2008JD010201

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Short summary

We present a methodology to adjust the systematic errors of climate-modeled temperature with a simultaneous long-term trend preservation. The method considers the normalization of the temperature towards a reference period modeled temperature and the estimation of a residual signal, in order to apply adjustment only to the former. The skill of the methodology is compared to other methods while also assessed on the European scale.