Publications in Scientific Journals:

K. Scipal, T. Holmes, R. De Jeu, V. Naeimi, W. Wagner:
"A possible solution for the problem of estimating the error structure of global soil moisture data sets";
Geophysical Research Letters, 35 (2008), L24403; 1 - 4.

English abstract:
In the last few years, research made significant
progress towards operational soil moisture remote sensing
which lead to the availability of several global data sets. For
an optimal use of these data, an accurate estimation of the
error structure is an important condition. To solve for the
validation problem we introduce the triple collocation error
estimation technique. The triple collocation technique is a
powerful tool to estimate the root mean square error while
simultaneously solving for systematic differences in the
climatologies of a set of three independent data sources. We
evaluate the method by applying it to a passive microwave
(TRMM radiometer) derived, an active microwave (ERS-2
scatterometer) derived and a modeled (ERA-Interim
reanalysis) soil moisture data sets. The results suggest that
the method provides realistic error estimates.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.