Reconstructing the temporal dynamics of snow cover from observations


Journal Article

A nonlinear differential equation for the description of the mean annual behavior of snow depth at a point is reconstructed from measured time series of temperature, snow fall, and snow cover, using the so-called Trajectory Method proposed by Eisenhammer et al. [1991]. The temperature and snow fall are used as independent variables of a polynomial equation with nonlinearities up to the third degree. The reconstructed model not only reproduces the original data very well, but also captures the main behavior of the system when forced by different climatic conditions.

Full Text

Duke Authors

Cited Authors

  • Perona, P; D'Odorico, P; Porporato, A; Ridolfi, L

Published Date

  • August 1, 2001

Published In

Volume / Issue

  • 28 / 15

Start / End Page

  • 2975 - 2978

International Standard Serial Number (ISSN)

  • 0094-8276

Digital Object Identifier (DOI)

  • 10.1029/2000GL006126

Citation Source

  • Scopus