A possible solution for the problem of estimating the error structure of global soil moisture data sets

By Klaus Scipal, T. Holmes, De Jeu, Vahid Naeimi, Wolfgang Wagner. 2008

297 citations recorded by the source corpus.

Subfields: Atmospheric Science, Civil and Structural Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/b04fcd8e3f069210a1cbaca7daaa142509090f46

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Civil and Structural Engineering

In Environmental Engineering

Citations in the corpus

State of the climate in 2010 (2011, methodology): “Scipal et al. (2008) and Dorigo et al. (2010), using a statistical method called triple collocation, quantified satellite-based soil moisture errors in the order of 0.01 m3 m-3–0.04 m3 m-3 for the regions with a (semi) transparent vegetation cover, and > 0.04 m3 m-3 for the more densely vegetated…”
Evaluation of the ESA CCI soil moisture product using ground-based observations (2015, methodology): “Since in our case the number of triplets is primarily restricted by the number of available microwave observations, we decided to adopt a minimum threshold of 100 triplets following (Dorigo et al., 2010; Scipal et al., 2008).”
Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method (2012, methodology): “(2)) in Scipal et al. (2008).”
Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis (2016, methodology): “…generalization of the well-known triple collocation (TC) analysis [Stoffelen, 1998], which is commonly used for estimating the individual error variances of three spatiotemporally collocated soil moisture data sets with mutually uncorrelated random errors [Scipal et al., 2008; Dorigo et al., 2010].”
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals (2017, methodology): “Therefore, TCA results are often deemed unreliable if one or more members of the triplet are not significantly correlated according to a (one-tailed) student’s t-test (see [15], [32]).”