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

Auteur(s) et Affiliation(s)

MURRAY, S.J.

Univ. of Bristol, Bristol, Royaume-Uni

WATSON, I.M.

Univ. of Bristol, Bristol, Royaume-Uni

PRENTICE, I.C.

Macquarie Univ., Sydney, Australie

Inst. for Climate Change and Division of Biology, Grantham, Royaume-Uni

Description :
Dynamic global vegetation models (DGVMs )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.

Type de document :
Article de périodique

Source :
Progress in physical geography, issn : 0309-1333, 2013, vol. 37, n°. 1, p. 63-97, nombre de pages : 35, Références bibliographiques : 11 p.

Date :
2013

Editeur :
Pays édition : Royaume-Uni, London, Sage Publications

Langue :
Anglais