Articles | Volume 21, issue 1
Hydrol. Earth Syst. Sci., 21, 357–375, 2017
Hydrol. Earth Syst. Sci., 21, 357–375, 2017
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.

Related authors

Evaluation of drought representation and propagation in regional climate model simulations across Spain
Anaïs Barella-Ortiz and Pere Quintana-Seguí
Hydrol. Earth Syst. Sci., 23, 5111–5131,,, 2019
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756,,, 2022
Short summary
Pan evaporation is increased by submerged macrophytes
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756,,, 2022
Short summary
Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618,,, 2022
Short summary
Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601,,, 2022
Short summary
A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475,,, 2022
Short summary

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.
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.