Hydrology and Land Surface Studies
A possible solution for the problem of estimating the error structure of global soil moisture data sets
Article first published online: 17 DEC 2008
Copyright 2008 by the American Geophysical Union.
Geophysical Research Letters
Volume 35, Issue 24, December 2008
How to Cite
2008), A possible solution for the problem of estimating the error structure of global soil moisture data sets, Geophys. Res. Lett., 35, L24403, doi:10.1029/2008GL035599., , , , and (
- Issue published online: 17 DEC 2008
- Article first published online: 17 DEC 2008
- Manuscript Accepted: 22 OCT 2008
- Manuscript Revised: 8 OCT 2008
- Manuscript Received: 6 AUG 2008
- soil moisture;
 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.