Advances in modeling of snowpack processes utilizing remote sensing technology

Auteurs :
FOSTER, J. L.
RANGO, A.

Description :
Remote sensing data sets of snow are being studied and refined for input into energy balance, hydrological, and general circulation models. Snow influences the amount of solar energy retained and returned to space, the utilization of radiant energy in the hydrological cycle, and the atmospheric circulation by interacting with and modifying air masses. The continually evolving remote sensing technology will be used to provide a better understanding of how snow cover influences global climate and a better fundamental understanding of snow accumulation and ablation processes.


Type de document :
Article de périodique

Source :
GeoJournal, issn : 0343-2521, 1989, vol. 19, n°. 2, p. 185-192, Références bibliographiques : 32 réf.

Date :
1989

Editeur :
Pays édition : Allemagne, Heidelberg, Springer