Book Section

Muerth, Markus (2010): Bodenarten. In: Mauser, Wolfram (ed.) , Global change atlas : Einzugsgebiet obere Donau. München: . Kap. 1.2

Muerth, Markus (2009): Szenarien zur Temperatur der obersten Bodenschicht. In: Mauser, Wolfram (ed.) , Global change atlas : Einzugsgebiet obere Donau. München: . Kap. 3.3.2

Conference or Workshop Item

Muerth, Markus and Gauvin St-Denis, B. and Ludwig, R. and Caya, D. (2012): Evaluation of different sources of uncertainty in climate change impact research using a hydro-climatic model ensemble. International Congress on Environmental Modelling and Software (iEMSs), 1. - 5. Juli 2012, Leipzig, Deutschland.

Waldmann, Daniel and Muerth, Markus and Mauser, Wolfram (2012): Design and implementation of the land surface model NaturalEnvironment within the generic framework OpenDanubia for integrative, distributed environmental modelling. International Congress on Environmental Modelling and Software (iEMSs), 1. - 5. Juli 2012, Leipzig, Deutschland.

Muerth, Markus and Mauser, Wolfram and Heinzeller, Christoph (2010): Impact of potential climate change on plant available soil water and percolation in the Upper Danube basin. HydroPredict 2010, 20. - 23. September 2010, Prag, Tschechische Republik.

Waldmann, Daniel and Muerth, Markus and Ludwig, Matthias and Schäffler, Ulrich and Heinzeller, Christoph and Mauser, Wolfram (2009): Prozessierung, Analyse und Präsentation räumlich-zeitlich verteilter Datensätze des Decision Support Systems DANUBIA. FOSSGISS 2009, 17. - 19. März 2009, Hannover, Deutschland.

Paper

Muerth, Markus and Gauvin St-Denis, B. and Ricard, S. and Velázquez, J. A. and Schmid, J. and Minville, M. and Caya, D. and Chaumont, D. and Ludwig, R. and Turcotte, R. (2012): On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff.

Velázquez, J. A. and Schmid, J. and Ricard, S. and Muerth, Markus and Gauvin St-Denis, B. and Minville, M. and Chaumont, D. and Caya, D. and Ludwig, R. and Turcotte, R. (2012): An ensemble approach to assess hydrological models’ contribution to uncertainties in the analysis of climate change impact on water resources.