D
Doerthe Tetzlaff
Researcher at Leibniz Association
Publications - 253
Citations - 13175
Doerthe Tetzlaff is an academic researcher from Leibniz Association. The author has contributed to research in topics: Surface runoff & Streamflow. The author has an hindex of 60, co-authored 230 publications receiving 11033 citations. Previous affiliations of Doerthe Tetzlaff include University of Aberdeen & Humboldt University of Berlin.
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Journal ArticleDOI
Connecting precipitation inputs and soil flow pathways to stream water in contrasting boreal catchments.
TL;DR: In this article, the stable isotopes of water are used to track the pathways of precipitation inputs to streams, which is one of the most widely used tools to track precipitation pathways.
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Catchment data for process conceptualization: Simply not enough?
Chris Soulsby,Colin Neal,Hjalmar Laudon,Douglas A. Burns,Philippe Merot,Mike Bonell,Sarah M. Dunn,Doerthe Tetzlaff +7 more
TL;DR: For instance, Tetzlaff et al. as mentioned in this paper proposed a method to identify the most important parts of a given region of interest in a particular region of the world, based on the characteristics of the local geology.
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Potential effects of climate change on streambed scour and risks to salmonid survival in snow-dominated mountain basins
Jaime R. Goode,Jaime R. Goode,John M. Buffington,Daniele Tonina,Daniel J. Isaak,Russell F. Thurow,Seth J. Wenger,David E. Nagel,Charles H. Luce,Doerthe Tetzlaff,Chris Soulsby +10 more
TL;DR: In this article, a general framework is presented to examine the issue, using a series of physical models that link climate change, streamflow, and channel morphology to predict the magnitude and spatial distribution of streambed scour and consequent risk to salmonid embryos.
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Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model
TL;DR: In this article, the authors used the spatially distributed Tracer-Aided Rainfall-Runoff (STARR) model to simulate fluxes, storage, and mixing of water and tracers, as well as estimating water ages in three long-term experimental catchments with varying degrees of snow influence and contrasting landscape characteristics.
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Developing a consistent process-based conceptualization of catchment functioning using measurements of internal state variables
TL;DR: In this article, the authors use isotope data in addition to discharge and groundwater level data to conceptualize the internal processes of runoff generation and tracer transport in a low-parameter coupled flow-tracer model that could predict the runoff response and isotopic composition of an upland stream.