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Climate dynamics on watershed scale: along the rainfall-runoff chain

  • Klaus Fraedrich
  • Frank Sielmann
  • Danlu Cai
  • Xiuhua Zhu
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 564)

Abstract

Climate regimes of watersheds are determined by the rainfall-runoff chain, which comprises processes of a wide range of time and space scales. They are presented here in geographical and eco-hydrological state spaces combining observations and minimalist concepts. (i) Water supply and demand govern the rainfall-runoff chain: Rainfall provides the water supply, net radiation represents the water demand which, related to water supply, separates water from energy limited regimes and determines the discharge as the probability of rainfall reaching the soil water reservoir. This macro-state of the rainfall-runoff chain is described by an empirical equation of state and derived by a (micro-state) biased coinflip Ansatz. (ii) Eco-hydrologic spaces spanned by water and energy fluxes or flux ratios, embed the states of the rainfall-runoff chain as occurrence probabilities and their time changes as trajectories. Tracers, like vegetation-greenness, can also be included to estimate watershed resilience and, based on the trajectories, to attribute the changes to external (or climate) and internal (or anthropogenic) causes. (iii) Geo-morphological patterns like the area ratios of closed lakes (lake/basin), soil moisture storage of watersheds, and drainage densities of river systems, can be functionally related to eco-hydrological climates. Suitable minimalist models of the rainfall-runoff chain provide estimates of regional climate regimes governing the watersheds of the past, present, or future.

Keywords

Watershed Scale Aridity Index Bowen Ratio Climate Dynamics Terminal Lake 
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.

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Copyright information

© CISM, Udine 2016

Authors and Affiliations

  • Klaus Fraedrich
    • 1
  • Frank Sielmann
    • 2
  • Danlu Cai
    • 3
  • Xiuhua Zhu
    • 2
  1. 1.Max Planck Institute for MetereologyHamburgGermany
  2. 2.University of HamburgHamburgGermany
  3. 3.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina

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