Talks and Poster Presentations (with Proceedings-Entry):

A. Gruber, S. Paloscia, E. Santi, C. Notarnicola, L. Pasolli, T. Smolander, J. Pulliainen, H. Mittelbach, W. Dorigo, W. Wagner:
"Performance Inter-Comparison of Soil Moisture Retrieval Models for the Metop-A ASCAT Instrument";
Talk: IGARSS 2014, Québec, Canada; 2014-07-13 - 2014-07-18; in: "Proceedings of the IGARSS 2014", (2014), ISBN: 978-1-4799-5774-3; Paper ID 2455, 4 pages.

English abstract:
In this study we evaluate five different retrieval algorithms, applied on MetOp-A ASCAT backscatter data, in their ability to retrieve soil moisture on a global scale. Correlation and triple collocation analysis are performed using in situ and land surface model data as a reference. Results do not clearly identify one best algorithm. We therefore conclude that future work should focus on the exploitation of the strengths and weaknesses of different modelling approaches in a synergetic way rather than trying to find one model that suits every possible situation.

Soil moisture, retrieval model, calibration, validation, triple collocation

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