K
Kerstin Stahl
Researcher at University of Freiburg
Publications - 181
Citations - 9420
Kerstin Stahl is an academic researcher from University of Freiburg. The author has contributed to research in topics: Streamflow & Environmental science. The author has an hindex of 46, co-authored 149 publications receiving 7328 citations. Previous affiliations of Kerstin Stahl include University of British Columbia & University of Northern British Columbia.
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Journal ArticleDOI
Drought in the Anthropocene
Anne Van Loon,Tom Gleeson,Julian Clark,Albert van Dijk,Kerstin Stahl,Jamie Hannaford,Giuliano Di Baldassarre,Adriaan J. Teuling,Lena M. Tallaksen,Remko Uijlenhoet,David M. Hannah,Justin Sheffield,Mark Svoboda,Boud Verbeiren,Thorsten Wagener,Sally Rangecroft,Niko Wanders,Henny A. J. Van Lanen +17 more
TL;DR: In this human-influenced era, we need to rethink the concept of "drought" to include the human role in mitigating and enhancing drought as mentioned in this paper, which is not fully understood.
Journal ArticleDOI
Candidate Distributions for Climatological Drought Indices (SPI and SPEI)
James H. Stagge,Lena M. Tallaksen,Lukas Gudmundsson,Anne Van Loon,Anne Van Loon,Kerstin Stahl +5 more
TL;DR: The authors compared a suite of candidate probability distributions for use in SPI and SPEI normalization using the Watch Forcing Dataset (WFD) at the continental scale, focusing on Europe.
Journal ArticleDOI
Streamflow trends in Europe: evidence from a dataset of near-natural catchments
Kerstin Stahl,Kerstin Stahl,Hege Hisdal,Jamie Hannaford,Lena M. Tallaksen,H.A.J. van Lanen,Eric Sauquet,Siegfried Demuth,Miriam Fendekova,Jorge Jódar +9 more
TL;DR: In this paper, the authors investigated streamflow trends in a newly-assembled, consolidated dataset of near-natural streamflow records from 441 small catchments in 15 coun- tries across Europe.
Journal ArticleDOI
Comparison of approaches for spatial interpolation of daily air temperature in a large region with complex topography and highly variable station density
TL;DR: In this paper, the authors compared 12 variations of regression-based and weighted-average approaches for interpolating daily maximum and minimum temperatures over British Columbia, Canada, a domain with complex topography and highly variable density and elevational distribution of climate stations.