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.
Keywords:
Soil moisture, retrieval model, calibration, validation, triple collocation
Created from the Publication Database of the Vienna University of Technology.