eprintid: 100569
rev_number: 48
eprint_status: archive
userid: 608
dir: disk0/00/10/05/69
datestamp: 2010-10-19 20:19:32
lastmod: 2021-09-27 22:47:24
status_changed: 2012-10-02 14:35:08
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Rodriguez-Iturbe, I
creators_name: Isham, V
creators_name: Cox, DR
creators_name: Manfreda, S
creators_name: Porporato, A
title: Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F61
keywords: Water-controlled Ecosystems, Hydrologic Perspective, Spatial Variability, Nitrogen Cycles, Southern-africa, Active-role, Dynamics, Climate, Balance, Pattern
note: Copyright 2006 by the American Geophysical Union
abstract: The present paper complements that of Isham et al. (2005), who introduced a space-time soil moisture model driven by stochastic space-time rainfall forcing with homogeneous vegetation and in the absence of topographical landscape effects. However, the spatial variability of vegetation may significantly modify the soil moisture dynamics with important implications for hydrological modeling. In the present paper, vegetation heterogeneity is incorporated through a two dimensional Poisson process representing the coexistence of two functionally different types of plants (e.g., trees and grasses). The space-time statistical structure of relative soil moisture is characterized through its covariance function which depends on soil, vegetation, and rainfall patterns. The statistical properties of the soil moisture process averaged in space and time are also investigated. These properties are especially important for any modeling that aggregates soil moisture characteristics over a range of spatial and temporal scales. It is found that particularly at small scales, vegetation heterogeneity has a significant impact on the averaged process as compared with the uniform vegetation case. Also, averaging in space considerably smoothes the soil moisture process, but in contrast, averaging in time up to 1 week leads to little change in the variance of the averaged process.
date: 2006-03-25
publisher: AMER GEOPHYSICAL UNION
official_url: http://dx.doi.org/10.1029/2005WR004497
vfaculties: VMPS
oa_status: green
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_batch
elements_source: Web of Science
elements_id: 99024
doi: 10.1029/2005WR004497
language_elements: EN
lyricists_name: Isham, Valerie
lyricists_id: VSISH67
full_text_status: public
publication: Water Resources Research
volume: 42
number: 6
article_number: W06D05
issn: 0043-1397
citation:        Rodriguez-Iturbe, I;    Isham, V;    Cox, DR;    Manfreda, S;    Porporato, A;      (2006)    Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation.                   Water Resources Research , 42  (6)    , Article W06D05.  10.1029/2005WR004497 <https://doi.org/10.1029/2005WR004497>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/100569/1/2005WR004497.pdf