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 language | English |
|---|---|
| Article number | e2022WR032871 |
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Water Resources Research |
| Volume | 58 |
| Issue number | 10 |
| Early online date | 19 Sept 2022 |
| DOIs | |
| Publication status | Published - 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.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | 948601 |
| European Research Council | |
| Deutsche Forschungsgemeinschaft | 2100371301 |
Keywords
- classification
- drought generation
- drought types
- extremes
- streamflow
- typology