Long term variability of the annual hydrological regime and sensitivity to temperature phase shifts in Saxony/Germany

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Abstract

Recently, climatological studies report observational evidence of changes in the timing of the seasons, such as earlier timing of the annual cycle of surface temperature, earlier snow melt and earlier onset of the phenological spring season. Also hydrological studies report earlier timing and changes in monthly streamflows. From a water resources management perspective, there is a need to quantitatively describe the variability in the timing of hydrological regimes and to understand how climatic changes control the seasonal water budget of river basins. Here, the timing of hydrological regimes from 1930-2009 was investigated in a network of 27 river gauges in Saxony/Germany through a timing measure derived by harmonic function approximation of annual periods of runoff ratio series. The timing measure proofed to be robust and equally applicable to both mainly pluvial river basins and snow melt dominated regimes. We found that the timing of runoff ratio is highly variable, but markedly coherent across the basins analysed. Differences in average timing are largely explained by basin elevation. Also the magnitude of low frequent changes in the seasonal timing of streamflow and the sensitivity to the changes in the timing of temperature increase with basin elevation. This sensitivity is in turn related to snow storage and release, whereby snow cover dynamics in late winter explain a large part of the low-and high-frequency variability. A trend analysis based on cumulative anomalies revealed a common structural break around the year 1988. While the timing of temperature shifted earlier by 4 days, accompanied by a temperature increase of 1 K, the timing of runoff ratio within higher basins shifted towards occurring earlier about 1 to 3 weeks. This accelerated and distinct change indicates, that impacts of climate change on the water cycle may be strongest in higher, snow melt dominated basins. © 2011 Author(s).

Figures

  • Fig. 1. Top: monthly data of precipitation and runoff of a sample period from the station at Lichtenwalde. The vertical dotted lines depict the half-flow date (Q50) of the respective year and its value is denoted as doy. Bottom: monthly runoff ratio, three-monthly moving runoff ratio and the resulting annual sinusoidal fits. The annual phases φRR are computed as doy and the annual explained variance (R 2) by the fitted sinusoids to the three-monthly running runoff ratios is given below.
  • Fig. 2. Left panel: map of the study area and long term average basin runoff ratios of the basins investigated. The bold numbers depict the id (cf. Table 1) of the river gauges (orange dots). The colour of the basin boundary refers to the 4 basin groups as used in Fig. 6. Grey boundaries indicate that the respective basin does not belong to any of these groups. Right panel: simple topographic map (geographical coordinates) of northern Germany with hillshading and terrain colours depicting elevation (Jarvis et al., 2008). The borders of Germany and Saxony are drawn as black lines and rain gauges used for interpolation are shown as blue triangles.
  • Table 1. River stations analysed over the period 1930–2009. The column elev denotes the mean basin elevation in meters above sea level, area denotes catchment area in km2, RR denotes the long term average runoff ratio and miss gives the number of missing months.
  • Table 2. Results of homogeneity tests of runoff ratio and information of larger dam constructions with the respective volume of the reservoirs given in hectometres (hm3). The column Inhomogeneity reports the year and the month the maximal Pettitt test statistic and their respective significance levels.
  • Fig. 3. Time series of smoothed monthly runoff ratio at Lichtenwalde, Zschopau.
  • Fig. 4. Height dependence of long term average runoff ratio (left panel) and dependence of the average streamflow timing (right panel).
  • Table 3. Average statistics of the river gauge stations, grouped according to basin average elevation without connected basins. The columns denote in order of appearance: the respective elevation interval, group member basin id, the phase average φ̄RR as calender day with respective circular standard deviation in days, the average half-flow date Q̄50, circular correlation coefficients ρcc between φRR and φT , the linear regression coefficient Tcoef and its standard deviation and the circular-linear correlation ρsnow between snow depths in March and φRR.
  • Fig. 5. Time series of the annual phase of runoff ratio for two groups of stations at high and low elevations, respectively. The shaded area shows the within group range and the bold lines depict the 11-year moving average of the group average annual phase.

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CITATION STYLE

APA

Renner, M., & Bernhofer, C. (2011). Long term variability of the annual hydrological regime and sensitivity to temperature phase shifts in Saxony/Germany. Hydrology and Earth System Sciences, 15(6), 1819–1833. https://doi.org/10.5194/hess-15-1819-2011

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