Moderate and Severe Hydrological Droughts in Europe Differ in Their Hydrometeorological Drivers

Manuela I. Brunner*, Anne F. Van Loon, Kerstin Stahl

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Hydrological extreme events are generated by different sequences of hydrometeorological drivers, the importance of which may vary within the sample of drought events. Here, we investigate how the importance of different hydrometeorological driver sequences varies by event magnitude using a large sample of catchments in Europe. To do so, we develop an automated classification scheme for streamflow drought events. The classification scheme standardizes a previous qualitative drought typology and assigns events to one of eight drought event types—each characterized by a set of single or compounding drivers—using information about seasonality, precipitation deficits, and snow availability. The objective event classification reveals how drought drivers vary not just in space and by season, but also with event magnitude. Specifically, we show that (a) rainfall deficit droughts and cold snow season droughts are the dominant drought event type in Western Europe and Eastern and Northern Europe, respectively; (b) rainfall deficit and cold snow season droughts are important from autumn to spring while snowmelt and wet-to-dry season droughts are important in summer; and (c) moderate droughts are mainly driven by rainfall deficits while severe events are mainly driven by snowmelt deficits in colder climates and by streamflow deficits transitioning from the wet to the dry season in warmer climates. These differences in sequences of drought generation mechanisms for severe and moderate events suggest that future changes in hydrometeorological drivers may affect moderate and severe events differently.

Original languageEnglish
Article numbere2022WR032871
Pages (from-to)1-14
Number of pages14
JournalWater Resources Research
Volume58
Issue number10
Early online date19 Sept 2022
DOIs
Publication statusPublished - Oct 2022

Bibliographical note

Funding Information:
The authors thank the German Research Foundation (2100371301 granted to Manuela Brunner) and the European Research Council (ERC‐2020‐StG 948601 granted to Anne Van Loon) for funding this project. Open Access funding enabled and organized by Projekt DEAL.

Publisher Copyright:
© 2022. The Authors.

Funding

The authors thank the German Research Foundation (2100371301 granted to Manuela Brunner) and the European Research Council (ERC‐2020‐StG 948601 granted to Anne Van Loon) for funding this project. Open Access funding enabled and organized by Projekt DEAL.

FundersFunder number
Horizon 2020 Framework Programme948601
European Research Council
Deutsche Forschungsgemeinschaft2100371301

    Keywords

    • classification
    • drought generation
    • drought types
    • extremes
    • streamflow
    • typology

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