The use of dynamic global vegetation models for simulating hydrology and the potential integration of satellite observations

S. J. Murray*, I. M. Watson, I. C. Prentice

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

31 Citations (Scopus)

Abstract

Dynamic global vegetation models (DGVMs) offer explicit representations of the land surface through time and have been used to research large-scale hydrological responses to climate change. These applications are discussed and comparisons of model inputs and formulations are made among and between DGVMs and global hydrological models. It is shown that the configuration of process representations and data inputs are what makes a given DGVM unique within the family of vegetation models. The variety of available climatic forcing datasets introduces uncertainty into simulations of hydrological variables. It is proposed that satellite-derived data, validated thoroughly, could be used to improve the quality of model evaluations and augment ground-based observations, particularly where spatial and temporal gaps are present. This would aid the reduction of model uncertainties and thus potentially enhance our understanding of global hydrological change.

Original languageEnglish
Pages (from-to)63-97
Number of pages35
JournalProgress in Physical Geography
Volume37
Issue number1
Early online date15 Oct 2012
DOIs
Publication statusPublished - Feb 2013

Keywords

  • climate change
  • dynamic global vegetation models
  • environmental change
  • global hydrology
  • hydrological modelling
  • remote sensing
  • runoff
  • uncertainty
  • LAND-SURFACE MODEL
  • PLANT FUNCTIONAL TYPES
  • SNOW WATER EQUIVALENT
  • LEAF-AREA INDEX
  • TERRESTRIAL ECOSYSTEM MODELS
  • CARBON-NITROGEN INTERACTIONS
  • GENERAL-CIRCULATION MODEL
  • DOUBLED ATMOSPHERIC CO2
  • CLIMATE-CHANGE
  • SOIL-MOISTURE

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