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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 21, issue 1
Hydrol. Earth Syst. Sci., 21, 357–375, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 357–375, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Jan 2017

Research article | 23 Jan 2017

Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula

Anaïs Barella-Ortiz et al.

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Cited articles

Albergel, C., Zakharova, E., Calvet, J. C., Zribi, M., Pardé, M., Wigneron, J. P., Novello, N., Kerr, Y., Mialon, A., and Fritz, N.: A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: The CAROLS airborne campaign, Remote Sens. Environ., 115, 2718–2728, 2011.
Balsamo, G., Vitterbo, P., Beljaars, A., van den Hurk, B., Hirschi, M., Betts, A. K., and Scipal, K.: A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System, J. Hydrometeorol., 10, 623–643,, 2009.
Baroni, G., Facchi, A., Gandolfi, C., and Ortuani, B.: Analysis of the performances of methods for the evaluation of soil hydraulic parameters and of their application in two hydrological models, in: Irrigation in Mediterranean agriculture: challenges and innovation for the next decades, Bari: CIHEAM, edited by: Santini, A., Lamaddalena, N., Severino, G., and Palladino, M., Options Méditerranéennes: Série A. Séminaires Méditerranéens; no. 84, 213–222, 2008.
Bircher, S., Skou, N., and Kerr, Y. H.: Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark, IEEE T. Geosci. Remote, 51, 2969–2985,, 2013.
Björnsson, H. and Venegas, S. A.: A Manual for EOF and SVD Analyses of Climate Data, Report No. 97-1, Department of Atmospheric and Oceanic Sciences and Centre for Climate and Global Change Research, McGill University, 52, 1997.
Publications Copernicus
Short summary
L-band radiometry is considered to be one of the most suitable techniques for estimating surface soil moisture (SSM) by means of remote sensing. Brightness temperatures are key in this process, as they are the main input in the retrieval algorithm which yields SSM. This paper compares brightness temperatures measured by the SMOS mission to two different sets of modelled ones. It shows that models and remote-sensed values agree well in temporal variability, but not in their spatial structures.
L-band radiometry is considered to be one of the most suitable techniques for estimating surface...