Abstract

Abstract. Topography exerts influence on the spatial precipitation distribution over different scales, known typically at the large scale as the orographic effect, and at the small scale as the wind-drift rainfall (WDR) effect. At the intermediate scale (1~10 km), which is characterized by secondary mountain valleys, topography also demonstrates some effect on the precipitation pattern. This paper investigates such intermediate-scale topographic effects on precipitation patterns, focusing on narrow-steep valleys in the complex terrain of southern Germany, based on the daily observations over a 48 yr period (1960~2007) from a high-density rain-gauge network covering two sub-areas, Baden-Wuerttemberg (BW) and Bavaria (BY). Precipitation data at the valley and non-valley stations are compared under consideration of the daily general circulation patterns (CPs) classified by a fuzzy rule-based algorithm. Scatter plots of precipitation against elevation demonstrate a different behavior of valley stations comparing to non-valley stations. A detailed study of the precipitation time series for selected station triplets, each consisting of a valley station, a mountain station and an open station have been investigated by statistical analysis with the Kolmogorov–Smirnov (KS) test supplemented by the One-way analysis of variance (One-way ANOVA) and a graphical comparison of the mean precipitation amounts. The results show an interaction of valley orientation and the direction of the CPs at the intermediate scale, i.e. when the valley is shielded from the CP which carries the precipitation, the precipitation amount within the valley is comparable to that on the mountain crest, and both larger than the precipitation at the open station. When the valley is open to the CP, the precipitation within the valley is similar to the open station but much less than that on the mountain. Such phenomenon where the precipitation is "blind" to the valleys at the intermediate scale conditioned on CPs is defined as the "narrow-valley effect" in this work. Such an effect cannot be captured by the widely used elevation–precipitation relationship, which implies that the traditional geostatistical interpolation schemes, e.g. ordinary kriging (OK) or external drift kriging (EDK) applying digital elevation model (DEM) as external information, are not sufficient. An interpolation experiment applying EDK with orographic surrogate elevation defined in this paper as auxiliary information to account for the valley effects shows improvement for the cross-validation.

Highlights

  • Precipitation is characterized by remarkable spatial and temporal variability at different space- and timescales (Bidin and Chappell, 2003; Nezlin and Stein, 2005; Jeniffer et al, 2010; Langella et al, 2010), and the spatio-temporal variability is of critical importance for a wide range of hydrometeorological and hydro-geological applications

  • The spatial precipitation pattern at the intermediate scale has been investigated in this research

  • Some exceptional cases where the test statistics do not show a very clear dependence on circulation patterns (CPs), due to local complexity of microtopographic configuration and the interference of the large-scale orographic precipitation gradient, a general interaction rule can be concluded, i.e. if the valley is open to the moisture flow, it behaves more to the open station and differently from the mountain station and vice versa

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Summary

Introduction

Precipitation is characterized by remarkable spatial and temporal variability at different space- and timescales (Bidin and Chappell, 2003; Nezlin and Stein, 2005; Jeniffer et al, 2010; Langella et al, 2010), and the spatio-temporal variability is of critical importance for a wide range of hydrometeorological and hydro-geological applications. Limited attention has been paid to precipitation patterns at the intermediate scale consisting of the secondary mountain valleys, which remains a scale gap in describing the spatial variability of precipitation. 5. of mountain–valley precipitation difference due to the interaction of topography with CPs at the intermediate scale to close the aforementioned research and scale gaps in precipitation patterns. Of mountain–valley precipitation difference due to the interaction of topography with CPs at the intermediate scale to close the aforementioned research and scale gaps in precipitation patterns The study applies both parametric and nonparametric tests to analyze daily precipitation for all days and for days with a given CP type.

Study area
Precipitation data
Circulation Patterns
Identification of valley stations
Statistical analysis
Scatter plot with consideration of CPs
Statistical test of precipitation time series for selected station triplets
Statistical analysis of station triples in 26 Baden-Wuerttemberg
Statistical analysis of station triples in Bavaria
Conclusions
Full Text
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