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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 5 | Copyright

Special issue: HYPER Droughts (HYdrological Precipitation – Evaporation...

Hydrol. Earth Syst. Sci., 20, 1947-1969, 2016
https://doi.org/10.5194/hess-20-1947-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 May 2016

Research article | 13 May 2016

Trends in projections of standardized precipitation indices in a future climate in Poland

Marzena Osuch1, Renata J. Romanowicz1, Deborah Lawrence2, and Wai K. Wong2 Marzena Osuch et al.
  • 1Institute of Geophysics Polish Academy of Sciences, Warsaw, Poland
  • 2Norwegian Water Resources and Energy Directorate, Oslo, Norway

Abstract. Possible future climate change effects on dryness conditions in Poland are estimated for six climate projections using the standardized precipitation index (SPI). The time series of precipitation represent six different climate model runs under the selected emission scenario for the period 1971–2099. Monthly precipitation values were used to estimate the SPI for multiple timescales (1, 3, 6, 12, and 24 months) for a spatial resolution of 25km for the whole country. Trends in the SPI were analysed using the Mann–Kendall test with Sen's slope estimator for each grid cell for each climate model projection and aggregation scale, and results obtained for uncorrected precipitation and bias corrected precipitation were compared. Bias correction was achieved using a distribution-based quantile mapping (QM) method in which the climate model precipitation series were adjusted relative to gridded precipitation data for Poland. The results show that the spatial pattern of the trend depends on the climate model, the timescale considered and on the bias correction. The effect of change on the projected trend due to bias correction is small compared to the variability among climate models. We also summarize the mechanisms underlying the influence of bias correction on trends in precipitation and the SPI using a simple example of a linear bias correction procedure. In both cases, the bias correction by QM does not change the direction of changes but can change the slope of trend, and the influence of bias correction on SPI is much reduced. We also have noticed that the results for the same global climate model, driving different regional climate model, are characterized by a similar pattern of changes, although this behaviour is not seen at all timescales and seasons.

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Possible future climate change effects on dryness conditions in Poland are estimated for six climate projections using the standardized precipitation index. The time series of precipitation represent six different climate model runs under the A1B SRES scenario for the period 1971–2099. Monthly precipitation values were used to estimate the standardized precipitation index for multiple timescales (1, 3, 6, 12 and 24 months) for a spatial resolution of 25 km for the whole country.
Possible future climate change effects on dryness conditions in Poland are estimated for six...
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