Journal article

Estimating error cross-correlations in soil moisture data sets using extended collocation analysis

A Gruber, C-H Su, WT Crow, S Zwieback, WA Dorigo, W Wagner

Journal of Geophysical Research: Atmospheres | AMER GEOPHYSICAL UNION | Published : 2016

University of Melbourne Researchers

Grants

Awarded by European Union


Funding Acknowledgements

We thank Robert Parinussa and Alexandra Konings for valuable discussions. The used AMSR-E and GLDAS-Noah data are available from the NASA Goddard Space Flight Center (ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa_TS2/WAOB/; ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa_TS2/GLDAS_V1/). ASCAT data are available from EUMETSAT's H-SAF data portal (http://hsaf.meteoam.it/soil-moisture.php). In situ data used in this study are provided by the AMMA-CATCH, ARM, COSMOS, GTK, HOBE, ICN, MAQU, MOL-RAO, OZNET, PBO-H<INF>2</INF>O, REMEDHUS, SASMAS, SCAN, SMOS-MANIA, SNOTEL, SWEX-POLAND, UDC-SMOS, UMBRIA, USCRN, and USDA-ARS networks and are available from the ISMN data portal (http://ismn.geo.tuwien.ac.at/data-access/). This study was carried out within the eartH2Observe project (European Union's Seventh Framework Programme, grant 603608) and with support under The University of Melbourne's Early Career Researcher Grant Scheme.