A three-pillar approach to assessing climate impacts on low flows

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Abstract

The objective of this paper is to present a framework for assessing climate impacts on future low flows that combines different sources of information, termed pillars. To illustrate the framework three pillars are chosen: (a) extrapolation of observed low-flow trends into the future, (b) rainfall-runoff projections based on climate scenarios and (c) extrapolation of changing stochastic rainfall characteristics into the future combined with rainfall-runoff modelling. Alternative pillars could be included in the overall framework. The three pillars are combined by expert judgement based on a synoptic view of data, model outputs and process reasoning. The consistency/inconsistency between the pillars is considered an indicator of the certainty/uncertainty of the projections. The viability of the framework is illustrated for four example catchments from Austria that represent typical climate conditions in central Europe. In the Alpine region where winter low flows dominate, trend projections and climate scenarios yield consistently increasing low flows, although of different magnitudes. In the region north of the Alps, consistently small changes are projected by all methods. In the regions in the south and south-east, more pronounced and mostly decreasing trends are projected but there is disagreement in the magnitudes of the projected changes. The process reasons for the consistencies/inconsistencies are discussed. For an Alpine region such as Austria the key to understanding low flows is whether they are controlled by freezing and snowmelt processes, or by the summer moisture deficit associated with evaporation. It is argued that the three-pillar approach offers a systematic framework of combining different sources of information aimed at more robust projections than that obtained from each pillar alone.

Figures

  • Figure 1. Standardized Precipitation Evaporation Index (SPEI) in summer (top) and winter (bottom) (3-month averages of monthly values) for the four example catchments. Observed (HISTALP, Auer et al., 2007, black) and projected (reclip:century ensemble spread, grey). Red and light red lines represent the Gaussian low-pass filtered values of the observed and projected SPEI, respectively.
  • Figure 2. Observed trends of annual Q95 low flows in Austria in the period 1976–2008. Colours correspond to the sign and the magnitude of the trends (blue is increasing, red is decreasing). Size indicates significance of trends. Units of the trends are standard deviations per year. Squares indicate example catchments.
  • Table 1. Trend estimates of observed Q95 low flows in the period 1976–2008 (Mann–Kendall test). Relative trends refer to the trend over the observation period relative to its mean.
  • Table 2. Trend extrapolations of average Q95 low flows (m3 s−1) for the periods 2021–2050 and 2051–2080 based on observed trends. Changes (%) refer to the Q95 in the future period relative to the average Q95 in the reference period (1976–2008). Values in parentheses indicate 95 % confidence intervals.
  • Figure 3. Observed daily discharge for the periods 1976–1986 (blue lines) and 1998–2008 (red lines) in the Buwe (top) and Hoalp (bottom) catchments.
  • Table 3. Runoff model efficiency ZQ (Eq. 2) obtained for different weights wQ in the four catchments for three calibration periods. wQ = 0 and wQ = 1 emphasise low flows and high flow, respectively, in the calibration. ZQ are listed in the sequence of the calibration periods: 1976–1986/1987–1997/1998–2008.
  • Figure 4. Annual Q95 low flows from observed data (black lines) and from hydrologic model simulations (coloured bands) for the four catchments. Band widths in the left panels show the variability due to different weights wQ in the objective function (Table 3) for two calibration periods (1976–1986 and 1998–2008). Band widths in the right panels show the variability due to different decades used for model calibration for two sets of weights (wQ = 0.5 and wQ = 0.0).
  • Figure 5. Projections of air temperatures and precipitation for the four catchments simulated by regional climate models. Shown are longterm monthly changes of the future period (2021–2050) relative to the reference period (1976–2008). Shaded areas indicate the range of climate scenarios/models.

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CITATION STYLE

APA

Laaha, G., Parajka, J., Viglione, A., Koffler, D., Haslinger, K., Schöner, W., … Blöschl, G. (2016). A three-pillar approach to assessing climate impacts on low flows. Hydrology and Earth System Sciences, 20(9), 3967–3985. https://doi.org/10.5194/hess-20-3967-2016

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