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One simulation, different conclusions - the baseline period makes the difference!

Urheber*innen
/persons/resource/Stefan.Liersch

Liersch,  Stefan
Potsdam Institute for Climate Impact Research;

Drews,  M.
External Organizations;

/persons/resource/Tobias.Pilz

Pilz,  Tobias
Potsdam Institute for Climate Impact Research;

Salack,  S.
External Organizations;

/persons/resource/Diana.Sietz

Sietz,  Diana
Potsdam Institute for Climate Impact Research;

/persons/resource/valentin.aich

Aich,  Valentin
Potsdam Institute for Climate Impact Research;

Larsen,  M. A. D.
External Organizations;

/persons/resource/Anne.Gaedeke

Gädeke,  Anne
Potsdam Institute for Climate Impact Research;

Halsnæs,  K.
External Organizations;

Thiery,  W.
External Organizations;

Huang,  Shaochun
External Organizations;

/persons/resource/anastasia.lobanova

Lobanova,  Anastasia
Potsdam Institute for Climate Impact Research;

/persons/resource/Hagen.Koch

Koch,  Hagen
Potsdam Institute for Climate Impact Research;

/persons/resource/Fred.Hattermann

Hattermann,  Fred Fokko
Potsdam Institute for Climate Impact Research;

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Volltexte (frei zugänglich)

24290oa.pdf
(Verlagsversion), 8MB

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Zitation

Liersch, S., Drews, M., Pilz, T., Salack, S., Sietz, D., Aich, V., Larsen, M. A. D., Gädeke, A., Halsnæs, K., Thiery, W., Huang, S., Lobanova, A., Koch, H., Hattermann, F. F. (2020): One simulation, different conclusions - the baseline period makes the difference! - Environmental Research Letters, 15, 10, 104014.
https://doi.org/10.1088/1748-9326/aba3d7


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_24290
Zusammenfassung
The choice of the base period, intentionally chosen or not, as a reference for assessing future changes of any projected variable can play an important role for the resulting statement. In regional climate impact studies, well-established or arbitrarily chosen baselines are often used without being questioned. Here we investigated the effects of different baseline periods on the interpretation of discharge simulations from eight river basins in the period 1960-2099. The simulations were forced by four bias-adjusted and downscaled Global Climate Models under two radiative forcing scenarios (RCP 2.6 and RCP 8.5). To systematically evaluate how far the choice of different baselines impacts the simulation results, we developed a similarity index that compares two time series of projected changes. The results show that 25% of the analysed simulations are sensitive to the choice of the baseline period under RCP 2.6 and 32% under RCP 8.5. In extreme cases, change signals of two time series show opposite trends. This has serious consequences for key messages drawn from a basin-scale climate impact study. To address this problem, an algorithm was developed to identify flexible baseline periods for each simulation individually, which better represent the statistical properties of a given historical period.