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

Bachmair, S.; Svensson, C.; Hannaford, J.; Barker, L. J.; Stahl, K.

doi:10.5194/hess-20-2589-2016

Articles | Volume 20, issue 7

https://doi.org/10.5194/hess-20-2589-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

HYPER Droughts (HYdrological Precipitation – Evaporation...

https://doi.org/10.5194/hess-20-2589-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 7

Research article

|

04 Jul 2016

Research article |

| 04 Jul 2016

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

S. Bachmair, C. Svensson, J. Hannaford, L. J. Barker, and K. Stahl

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Cumulative views and downloads (calculated since 18 Sep 2015)

Month	HTML	PDF	XML	Total
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Oct 2015	98	94	2	194
Nov 2015	51	60	4	115
Dec 2015	15	28	0	43
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Aug 2016	33	14	0	47
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Jun 2025	65	26	1	92
Jul 2025	85	27	1	113
Aug 2025	69	25	2	96
Sep 2025	58	16	1	75
Oct 2025	53	42	3	98
Nov 2025	54	47	3	104
Dec 2025	42	68	6	116
Jan 2026	46	36	6	88

Latest update: 23 Jan 2026

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.