S
Siegfried Demuth
Researcher at University of Freiburg
Publications - 42
Citations - 1888
Siegfried Demuth is an academic researcher from University of Freiburg. The author has contributed to research in topics: Streamflow & Climate change. The author has an hindex of 12, co-authored 42 publications receiving 1694 citations.
Papers
More filters
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
Have streamflow droughts in Europe become more severe or frequent
TL;DR: In this paper, a pan-European dataset of more than 600 daily streamflow records from the European Water Archive (EWA) was analyzed to detect spatial and temporal changes in streamflow droughts.
Journal ArticleDOI
A global evaluation of streamflow drought characteristics
TL;DR: In this paper, three different pooling procedures are evaluated: the moving-average procedure (MA-procedure), the inter-event time method (IT-method), and the sequent peak algorithm (SPA).
Journal ArticleDOI
Large-scale river flow archives: importance, current status and future needs.
David M. Hannah,Siegfried Demuth,Henny A. J. Van Lanen,Ulrich Looser,Christel Prudhomme,Gwyn Rees,Kerstin Stahl,Kerstin Stahl,Lena M. Tallaksen +8 more
TL;DR: In this article, the authors show that large-scale river flow datasets are crucial to advance hydrological science and propose ways forward to consolidate historical data and secure future river flow data.
Journal ArticleDOI
Linking streamflow drought to the occurrence of atmospheric circulation patterns
Kerstin Stahl,Siegfried Demuth +1 more
TL;DR: In this article, an investigation linking regional streamflow drought to the occurrence of atmospheric circulation patterns (CPs) was presented, and the influence of these CPs was quantified using a logistic regression model.