Upscaling of point soil moisture measurements to field averages at the OPE3 test site

被引：49

作者：

De Lannoy, Gabrielle J. M.

Houser, Paul R.

Verhoest, Niko E. C.

Pauwels, Valentijn R. N.

Gish, Timothy J.

机构：

[1] Univ Ghent, Lab Hydrol & Water Management, B-9000 Ghent, Belgium

[2] George Mason Univ, Calverton, MD 20705 USA

[3] Ctr Res Environm & Water, Calverton, MD 20705 USA

[4] USDA ARS, Beltsville Agr Res Ctr, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA

来源：

JOURNAL OF HYDROLOGY | 2007年 / 343卷 / 1-2期

关键词：

soil moisture; representativeness; stability; scaling; variability; observation operator;

D O I：

10.1016/j.jhydrol.2007.06.004

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Some techniques are proposed to limit the representativeness error of point soil. moisture observations as estimates for spatial mean soil moisture in the Optimizing Production Inputs for Economic and Environmental Enhancement (OPE3) field site. First, representative measurement locations for the spatial mean soil. moisture are sought by ranking of the sensors based on the time-mean differences between the point values and the spatial mean. Next, simple statistical methods, as well as models in both the time and frequency domain are explored to scale up point measurements to field averaged soil moisture. Upscaling by a simple linear relationship and cumulative distribution function (cdf) matching generally provide the best estimates of the temporal evolution of the spatial. mean soil moisture. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：1 / 11

页数：11

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