Articles | Volume 20, issue 7
Hydrol. Earth Syst. Sci., 20, 2589–2609, 2016
https://doi.org/10.5194/hess-20-2589-2016

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

Hydrol. Earth Syst. Sci., 20, 2589–2609, 2016
https://doi.org/10.5194/hess-20-2589-2016
Research article
04 Jul 2016
Research article | 04 Jul 2016

A quantitative analysis to objectively appraise drought indicators and model drought impacts

S. Bachmair et al.

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Cited articles

Bachmair, S., Kohn, I., and Stahl, K.: Exploring the link between drought indicators and impacts, Nat. Hazards Earth Syst. Sci., 15, 1381–1397, https://doi.org/10.5194/nhess-15-1381-2015, 2015.
Blauhut, V., Gudmundsson, L., and Stahl, K.: Towards pan-European drought risk maps: quantifying the link between drought indices and reported drought impacts, Environ. Res. Lett., 10, 014008, https://doi.org/10.1088/1748-9326/10/1/014008, 2015.
Bradford, R. B. and Marsh, T. J.: Defining a network of benchmark catchments for the UK, Water & Maritime Engineering, 156, 109–116, 2003.
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001.
Bundesamt für Gewässerkunde: Hydrologischer Atlas von Deutschland, Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit, Berlin, 2003.
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Short summary
To date, there is little empirical evidence as to which indicator best represents drought impact occurrence for any given region and/or sector. We therefore exploited text-based data from the European Drought Impact report Inventory (EDII) to evaluate drought indicators, empirically determine indicator thresholds, and model drought impacts. A quantitative analysis using Germany and the UK as a testbed proved to be a useful tool for objectively appraising drought indicators.