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Large Scale Distributed Hydrological Modelling

  • Monika Prasch
  • Thomas Marke
  • Ulrich Strasser
  • Wolfram Mauser
Chapter

Abstract

The impact of climate change on water resources is one of the most essential issues for the population of mountain areas and their forelands in the future. To identify appropriate adaptation strategies, water balance models must realistically describe and quantify the reactions of watersheds to climate change at the regional scale.

Keywords

Water Balance Regional Climate Model Water Balance Component Headwater Catchment Hydrological Dynamic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Barnett TB, Adam JC, Lettenmaier DP (2005) Potential impacts of a warming climate on water availability in snow-dominated regions. Nature 438/17:303–309. doi:10.1038/nature04141CrossRefGoogle Scholar
  2. Boston University (2008) MODIS/TERRA land cover type 96-day L3 global 1 km ISIN Grid V004, Eurasien subset. http://duckwater.bu.edu/lc/mod12q1.html. Accessed March 2008
  3. FAO-UNESCO (2003) The digital soil map of the world. Version 3.6Google Scholar
  4. Flügel WA (1995) Delineating Hydrological Response Units (HRU’s) by GIS analysis for regional hydrological modelling using PRMS/MMS in the drainage basin of the River Bröl, Germany. Hydrol Process 9:423–436CrossRefGoogle Scholar
  5. GLOWA-Danube-Projekt (Eds.) (2009) Global change atlas einzugsgebiet obere donau. münchen. http://www.glowa-danube.de/atlas
  6. IPCC (2000) Special report on emissions scenarios. A special report of Working Group III of the intergovernmental panel on climate change, 27 p. In: Nakicenovic N, Swart R (eds) Cambridge University Press, London. http://www.ipcc.ch/ipccreports/sres/emission/index.php?idp=0
  7. Jain S, Agarwal P, Singh V (2007) Hydrology and water resources of India. Springer, DodrechtGoogle Scholar
  8. Krause P (2002) Quantifying the impact of land use changes on the water balance of large catchments using the J2000 model. Phys Chem Earth 27:663–673CrossRefGoogle Scholar
  9. Krause P, Hanisch S (2009) Simulation and analysis of the impact of projected climate change on the spatially distributed water balance in Thuringia, Germany. Adv Geosci 7:1–16Google Scholar
  10. Krause P, Bende-Michl U, Bäse F, Fink M, Flügel WA, Pfennig B (2006) Investigations in a mesoscale catchment—hydrological modelling in the Gera catchment. Adv Geosci 9:53–61CrossRefGoogle Scholar
  11. Marke T, Mauser W, Pfeiffer A, Zängl G (2011a) A pragmatic approach for the downscaling and bias correction of regional climate simulations: evaluation in hydrological modeling. Geosci Model Dev 4:759–770CrossRefGoogle Scholar
  12. Marke T, Mauser W, Pfeiffer A, Zängl G, Jacob D (2011b) The effect of downscaling on river runoff modeling: a hydrological case study in the upper danube watershed. Hydrol Earth Sci Syst Discuss 8:6331–6384CrossRefGoogle Scholar
  13. Mauser W, Bach H (2009) PROMET—large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds. J Hydrol 376:362–377CrossRefGoogle Scholar
  14. Mauser W, Ludwig R (2002) GLOWA-DANUBE—A research concept to develop integrative techniques, scenarios and strategies regarding the global change of the water cycle. In: Beniston M (ed) Climatic change: implications for the hydrological cycle and for water management. Kluwer, Boston. (Adv Glob Change Res 10:171–188)Google Scholar
  15. Pfennig B, Kipka H, Wolf M, Fink M, Krause P, Flügel WA (2009) Development of an extended spatially distributed routing scheme and its impact on process oriented hydrological modelling results. Joint IAHS & IAH International Convention, Hyderabad, vol 333, pp 37–43Google Scholar
  16. Prasch M, Mauser W, Weber M (2013) Quantifying present and future glacier melt-water contribution to runoff in a central Himalayan river basin. The Cryosphere 7:889–904Google Scholar
  17. Wolf M, Pfennig B, Krause P, Flügel WA (2009) Landscape dependent derivation of J2000 model parameters for hydrological modelling in ungauged basins. Joint IAHS & IAH International Convention, Hyderabad, vol 333, pp 1–14Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  • Monika Prasch
    • 1
  • Thomas Marke
    • 2
  • Ulrich Strasser
    • 2
  • Wolfram Mauser
    • 3
  1. 1.Department of GeographyLMU MunichMunichGermany
  2. 2.Human-Environment System Research, Alpine Hydroclimatology Institute of GeographyUniversity of InnsbruckInnsbruckAustria
  3. 3.Department of GeographyLMU MunichMunichGermany

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