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Markus Muerth

Researcher at Ludwig Maximilian University of Munich

Publications -  12
Citations -  390

Markus Muerth is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 5, co-authored 11 publications receiving 335 citations.

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On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff

TL;DR: In this paper, the authors investigated the effect of bias correction on simulated runoff regimes and the relative change in selected runoff indicators using an ensemble of multiple climate and hydrological models.
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An ensemble approach to assess hydrological models' contribution to uncertainties in the analysis of climate change impact on water resources

TL;DR: In this article, the authors investigated two humid, mid-latitude catch-ments with natural flow conditions, one located in Southern Qu´ (Canada) and one in Southern Bavaria (Germany), simulated with four different hydrological mod- els, forced by outputs from regional climate models driven by global climate models over a reference (1971-2000) and a future (2041-2070) period.
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Rigorous evaluation of a soil heat transfer model for mesoscale climate change impact studies

TL;DR: The Soil Heat Transfer Module (SHTM) is used as a component of the mesoscale decision support system DANUBIA, which is developed by the multi-disciplinary research project GLOWA-Danube and shows that the model performs well in reproducing daily and annual top soil temperature dynamics over long simulation periods.
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Folgen des Globalen Wandels für das Grundwasser in Süddeutschland - Teil 1: Naturräumliche Aspekte

TL;DR: Barthel et al. as mentioned in this paper developed a Simulations system DANUBIA, das aus 17 gekoppelten Modellkomponenten besteht, in order to investigate the komplexen Wechselwirkungen zwischen Mensch, Klima and Wasserkreislauf regional, integriert and prozessbasiert zu betrachten.

Evaluation of different sources of uncertainty in climate change impact research using a hydro-climatic model ensemble

TL;DR: In this article, the authors investigated the potential impacts of climate change on the hydrology of regional scale catchments in Southern Quebec (Canada) and Bavaria (Germany) and proposed a methodology to display the relative importance of each source of uncertainty and results for past runoff and potential future changes are presented.