Sensitivities of mean and extreme streamflow to climate variability across Europe.
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| Title: | Sensitivities of mean and extreme streamflow to climate variability across Europe. |
|---|---|
| Authors: | Hemshorn de Sánchez, Anna Luisa1,2,3 (AUTHOR) a.l.hemshorndesanchez@vu.nl, Berghuijs, Wouter R.3 (AUTHOR), Van Loon, Anne F.1 (AUTHOR), Hendriks, Dimmie2 (AUTHOR), van der Velde, Ype3 (AUTHOR) |
| Source: | Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 9, p2667-2683. 17p. |
| Subject Terms: | *Streamflow, *Precipitation variability, *Watersheds, *Temperature effect, *Climate change, *Stream measurements, *Water management |
| Geographic Terms: | Europe |
| Abstract: | Understanding how streamflow responds to variability in climate is an important aspect of regions' hydrological resilience, particularly under climate change. Streamflow elasticities (ε) (or sensitivities) to climate describe observed percentage changes in river flow conditions per percentage change (or unit change) of a climate driver. Drawing on data from over 7000 catchments, this study provides the first pan-European quantification of elasticities of annual mean and extreme streamflow to annual and seasonal precipitation, and streamflow sensitivities to temperature. Results indicate that elasticities exhibit distinct regional patterns across Europe. Annual mean, maximum, and minimum flows generally increase with higher annual mean precipitation. A 1 % change in precipitation typically leads to an amplified flow response of > 1 % in mean flows (median elasticity: ε̃=1.2), an even stronger amplification in maximum flows (ε̃=1.3), and a dampened response of < 1 % in minimum flows (ε̃=0.9). Temperature has a limited influence on annual streamflow, and its effects vary in sign (illustrated by both positive and negative sensitivities), but are relatively similar for mean, maximum, and minimum flows. To assess regional differences in elasticities to precipitation, we use a random forest model that considers catchment characteristics beyond commonly studied climate factors. Results indicate that elasticities are not modulated by a single dominant characteristic but emerge with complex combinations of catchment characteristics, likely including influences not well captured by typically available characteristics (e.g., anthropogenic influences). By revealing regional and continental patterns of amplified and dampened streamflow response across Europe, this research provides valuable insights into the hydrological resilience of mean and extreme flows to climate variability and climate change, and offers support for targeted water management and disaster risk mitigation. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 193976213 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sensitivities of mean and extreme streamflow to climate variability across Europe. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hemshorn de Sánchez%2C+Anna Luisa%22">Hemshorn de Sánchez, Anna Luisa</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> a.l.hemshorndesanchez@vu.nl</i><br /><searchLink fieldCode="AR" term="%22Berghuijs%2C+Wouter R%2E%22">Berghuijs, Wouter R.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Van Loon%2C+Anne F%2E%22">Van Loon, Anne F.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hendriks%2C+Dimmie%22">Hendriks, Dimmie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van der Velde%2C+Ype%22">van der Velde, Ype</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences%22">Hydrology & Earth System Sciences</searchLink>. 2026, Vol. 30 Issue 9, p2667-2683. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Streamflow%22">Streamflow</searchLink><br />*<searchLink fieldCode="DE" term="%22Precipitation+variability%22">Precipitation variability</searchLink><br />*<searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+effect%22">Temperature effect</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Stream+measurements%22">Stream measurements</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Understanding how streamflow responds to variability in climate is an important aspect of regions' hydrological resilience, particularly under climate change. Streamflow elasticities (ε) (or sensitivities) to climate describe observed percentage changes in river flow conditions per percentage change (or unit change) of a climate driver. Drawing on data from over 7000 catchments, this study provides the first pan-European quantification of elasticities of annual mean and extreme streamflow to annual and seasonal precipitation, and streamflow sensitivities to temperature. Results indicate that elasticities exhibit distinct regional patterns across Europe. Annual mean, maximum, and minimum flows generally increase with higher annual mean precipitation. A 1 % change in precipitation typically leads to an amplified flow response of > 1 % in mean flows (median elasticity: ε̃=1.2), an even stronger amplification in maximum flows (ε̃=1.3), and a dampened response of < 1 % in minimum flows (ε̃=0.9). Temperature has a limited influence on annual streamflow, and its effects vary in sign (illustrated by both positive and negative sensitivities), but are relatively similar for mean, maximum, and minimum flows. To assess regional differences in elasticities to precipitation, we use a random forest model that considers catchment characteristics beyond commonly studied climate factors. Results indicate that elasticities are not modulated by a single dominant characteristic but emerge with complex combinations of catchment characteristics, likely including influences not well captured by typically available characteristics (e.g., anthropogenic influences). By revealing regional and continental patterns of amplified and dampened streamflow response across Europe, this research provides valuable insights into the hydrological resilience of mean and extreme flows to climate variability and climate change, and offers support for targeted water management and disaster risk mitigation. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5194/hess-30-2667-2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2667 Subjects: – SubjectFull: Streamflow Type: general – SubjectFull: Precipitation variability Type: general – SubjectFull: Watersheds Type: general – SubjectFull: Temperature effect Type: general – SubjectFull: Climate change Type: general – SubjectFull: Stream measurements Type: general – SubjectFull: Water management Type: general – SubjectFull: Europe Type: general Titles: – TitleFull: Sensitivities of mean and extreme streamflow to climate variability across Europe. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hemshorn de Sánchez, Anna Luisa – PersonEntity: Name: NameFull: Berghuijs, Wouter R. – PersonEntity: Name: NameFull: Van Loon, Anne F. – PersonEntity: Name: NameFull: Hendriks, Dimmie – PersonEntity: Name: NameFull: van der Velde, Ype IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10275606 Numbering: – Type: volume Value: 30 – Type: issue Value: 9 Titles: – TitleFull: Hydrology & Earth System Sciences Type: main |
| ResultId | 1 |