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Publication . Article . Preprint . 2017

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

Anaïs Barella-Ortiz; Jan Polcher; Patricia de Rosnay; Maria Piles; Emiliano Gelati;
Open Access

L-band radiometry is considered to be one of the most suitable techniques to estimate 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 estimates. The work exposed compares brightness temperatures measured by the SMOS mission to two different sets of modelled ones, over the Iberian Peninsula from 2010 to 2012. The two modelled sets were estimated using a radiative transfer model and state variables from two land-surface models: (i) ORCHIDEE and (ii) H-TESSEL. The radiative transfer model used is the CMEM. Measured and modelled brightness temperatures show a good agreement in their temporal evolution, but their spatial structures are not consistent. An empirical orthogonal function analysis of the brightness temperature's error identifies a dominant structure over the south-west of the Iberian Peninsula which evolves during the year and is maximum in autumn and winter. Hypotheses concerning forcing-induced biases and assumptions made in the radiative transfer model are analysed to explain this inconsistency, but no candidate is found to be responsible for the weak spatial correlations at the moment. Further hypotheses are proposed and will be explored in a forthcoming paper. The analysis of spatial inconsistencies between modelled and measured TBs is important, as these can affect the estimation of geophysical variables and TB assimilation in operational models, as well as result in misleading validation studies

This work contributes to the FP7 Earth2Observe project under grant agreement no. 603608

19 pges, 10 figures, 6 tables

Peer Reviewed

Subjects by Vocabulary

Microsoft Academic Graph classification: Atmospheric radiative transfer codes State variable Brightness Empirical orthogonal functions Brightness temperature Atmospheric sciences Radiometry Environmental science Peninsula geography.geographical_feature_category geography Retrieval algorithm

Library of Congress Subject Headings: lcsh:Technology lcsh:T lcsh:Environmental technology. Sanitary engineering lcsh:TD1-1066 lcsh:Geography. Anthropology. Recreation lcsh:G lcsh:Environmental sciences lcsh:GE1-350


[SDU]Sciences of the Universe [physics], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Imatges Processament Tècniques digitals, Ciències de la terra, Imatges Processament Tècniques digitals, Ciències de la terra

Funded by
Global Earth Observation for integrated water resource assessment
  • Funder: European Commission (EC)
  • Project Code: 603608
  • Funding stream: FP7 | SP1 | ENV
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