Physical basis for a time series model of soil water content

Published

Journal Article

A firstā€order autoregressive Markovian model AR(1) is formulated on the basis of the hydrologic budget and soil water transport equation. The model predictions compared well with neutron probe measurements of soil moisture content, and the statistical moments were conserved. The applied water events were white noise in structure, and the random shocks generated from the flow dynamics simplifications have a statistical mean of zero and were uncorrelated for all time lags. The derived AR(1) model parameter is used to compute the mean diffusivity of the soil, which is in agreement with reported lab measurements and field estimates obtained from cumulative evaporation measurements made with two large lysimeters. Copyright 1992 by the American Geophysical Union.

Full Text

Duke Authors

Cited Authors

  • Parlange, MB; Katul, GG; Cuenca, RH; Kavvas, ML; Nielsen, DR; Mata, M

Published Date

  • January 1, 1992

Published In

Volume / Issue

  • 28 / 9

Start / End Page

  • 2437 - 2446

Electronic International Standard Serial Number (EISSN)

  • 1944-7973

International Standard Serial Number (ISSN)

  • 0043-1397

Digital Object Identifier (DOI)

  • 10.1029/92WR01241

Citation Source

  • Scopus