Journal article

Beyond triple collocation: Applications to soil moisture monitoring

Chun-Hsu Su, Dongryeol Ryu, Wade T Crow, Andrew W Western

Journal of Geophysical Research: Atmospheres | AMER GEOPHYSICAL UNION | Published : 2014

Abstract

Triple collocation (TC) is routinely used to resolve approximated linear relationships between different measurements (or representations) of a geophysical variable that are subject to errors. It has been utilized in the context of calibration, validation, bias correction, and error characterization to allow comparisons of diverse data records from various direct and indirect measurement techniques including in situ remote sensing and model-based approaches. However, successful applications of TC require sufficiently large numbers of coincident data points from three independent time series and, within the analysis period, homogeneity of their linear relationships and error structures. These..

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Grants

Awarded by Australian Research Council (ARC)


Funding Acknowledgements

We thank three anonymous reviewers and Shelly Chua for their valuable comments on the manuscript. We are grateful to all who contributed to the data sets used in this study. Kyeamba in situ data were produced by Jeff Walker and colleagues at Monash University and the University of Melbourne who have been involved in the OzNet program. AMSR-E data were produced by Richard de Jeu and colleagues at Vrije University Amsterdam and NASA. ASCAT level 3 data were produced by the Vienna University of Technology within the framework of EUMETSAT's Satellite Application Facility on Support of Operational Hydrology and Water Management from MetOp-A observations. The MERRA-Land was provided by NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). National soil data were provided by the Australian Collaborative Land Evaluation Program, ACLEP, endorsed through the National Committee on Soil and Terrain NCST (www.clw.csiro.au/aclep). This research was conducted with financial support from the Australian Research Council (ARC Linkage Project LP110200520).