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In Extremis pp 286-313 | Cite as

Spatial Correlations of River Runoffs in a Catchment

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Abstract

Hydrological processes are characterised by spatio-temporal patterns with certain correlations in both time and space. Thus, time series of related quantities recorded at different locations show relevant correlations if these locations are influenced by the same patterns. The actual strength and temporal as well as spatial extension of these correlations depend crucially on the considered observable (temperature, runoff, precipitation, etc.). We analyse whether the corresponding interrelationships change significantly in the presence of changing environmental conditions. For this purpose, we systematically study a variety of measures which quantify the statistical dependence between the components of bi- and multivariate hydrological records. As a particular example, we consider runoff time series from an ensemble of gauges in the Upper Main catchment area in southern Germany. The qualitative behaviour of spatial correlations and their changes during extreme weather events are intensively discussed.

Keywords

Mutual Information Spatial Correlation River Runoff Dimension Estimate Dimension Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

This work has been financially supported by the Volkswagen foundation (project no. I/78218) and the project “Extreme Events - Causes and Consequences (E2C2)” granted by the European Community (NEST contract no. 012975-E2C2). The data used in this study have been collected by the Bavarian Landesamt für Umwelt and provided by the Potsdam Institute for Climate Impact Research. Discussions with J. Kropp, M. Kallache, H. Rust, A. Witt, and J. Kurths are gratefully acknowledged. For the calculation of the cross-mutual information, we made use of an implementation based on the TISEAN package.

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Authors and Affiliations

  1. 1.Potsdam Institut für KlimafolgenforschungPotsdamGermany

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