The complex and spatially diverse patterns of hydrological droughts across Europe

Peña‐Angulo, D.; Vicente‐Serrano, S.M.; Domínguez‐Castro, F.; Lorenzo‐Lacruz, J.; Murphy, C.; Hannaford, J. ORCID: https://orcid.org/0000-0002-5256-3310; Allan, R.P.; Tramblay, Y.; Reig‐Gracia, F.; El Kenawy, A.. 2022 The complex and spatially diverse patterns of hydrological droughts across Europe. Water Resources Research, 58 (4), e2022WR031976. 18, pp. https://doi.org/10.1029/2022WR031976

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Abstract/Summary

This study presents a new data set of gauged streamflow (N = 3,224) for Europe spanning the period 1962–2017. The Monthly Streamflow of Europe Dataset (MSED) is freely available at http://msed.csic.es/. Based on this data set, changes in the characteristics of hydrological drought (i.e., frequency, duration, and severity) were assessed for different regions of Europe. Due to the density of the database, it is possible to delimit spatial patterns in hydrological droughts trend with the greatest detail available to date. Results reveal bidirectional changes in monthly streamflow, with negative changes predominating over central and southern Europe, while positive trends dominate over northern Europe. Temporally, two dominant patterns were noted. The first pattern corresponds to a consistent downward trend in all months, evident for southern Europe. A second pattern was noted over central and northern Europe and western France, with a predominant negative trend during warm months and a positive trend in cold months. For hydrological drought events, results suggest a positive trend toward more frequent and severe droughts in southern and central Europe and conversely a negative trend over northern Europe. This study emphasizes that hydrological droughts show complex spatial patterns across Europe over the past six decades, implying that hydrological drought behavior in Europe has a regional character. Accordingly it is challenging to adopt “efficient” strategies and policies to monitor and mitigate drought impacts at the continental level.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1029/2022WR031976
UKCEH and CEH Sections/Science Areas:	Water Resources (Science Area 2017-)
ISSN:	0043-1397
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	streamflow, hydrological drought, trend estimation, cluster analysis, SSI, Europe
NORA Subject Terms:	Hydrology
Date made live:	25 Apr 2022 14:07 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532534

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