Remote Sensing of Sea Surface Salinity From CAROLS L-Band Radiometer in the Gulf of Biscay

A. Martin; J. Boutin; Danièle Hauser; G. Reverdin; Mickaël Pardé; Mehrez Zribi; Pascal Fanise; Jérôme Chanut; Pascal Lazure; J. Tenerelli; N. Reul

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DOI: 10.1109/TGRS.2012.2184766

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Remote Sensing of Sea Surface Salinity From CAROLS L-Band Radiometer in the Gulf of Biscay
Martin A., Boutin J., Hauser D., Reverdin G., Pardé M., Zribi M., Fanise P., Chanut J., Lazure P., Tenerelli J. et al
IEEE Transactions on Geoscience and Remote Sensing 50, 5 (2012) 1703 - 1715 - http://hal.archives-ouvertes.fr/hal-00674077

Publication type:

Article in peer-reviewed journal

Subject:

Sciences of the Universe/Earth Sciences/Oceanography

Physics/Physics/Atmospheric and Oceanic Physics

Title:

Remote Sensing of Sea Surface Salinity From CAROLS L-Band Radiometer in the Gulf of Biscay

Author(s):

A. Martin ¹, J. Boutin ¹, Danièle Hauser ^2, 3, 4, G. Reverdin ¹, Mickaël Pardé ^2, 3, Mehrez Zribi ⁵, Pascal Fanise ^2, 3, Jérôme Chanut ⁶, Pascal Lazure ⁷, J. Tenerelli ⁸, N. Reul ⁷

Laboratory:

1:	Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN)

	Institut de recherche pour le développement [IRD] – INSU – CNRS : UMR7159 – Université Pierre et Marie Curie (UPMC) - Paris VI – Muséum National d'Histoire Naturelle (MNHN)

	case 100 4 place jussieu 75252 PARIS CEDEX 05

	France

2:	Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)

	http://www.latmos.ipsl.fr

	CNRS : UMR8190 – Université Pierre et Marie Curie (UPMC) - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – INSU

	France

3:	Institut Pierre-Simon-Laplace (IPSL)

	http://www.ipsl.jussieu.fr/

	CNRS : FR636 – Institut de recherche pour le développement [IRD] – CEA – CNES – INSU – Université Pierre et Marie Curie (UPMC) - Paris VI – Université de Versailles Saint-Quentin-en-Yvelines – Ecole normale supérieure de Paris - ENS Paris

	4 Place Jussieu 75252 PARIS CEDEX 05

	France

4:	Université Versailles Saint-Quentin en Yvelines (UVSQ)

	http://www.uvsq.fr/

	Université de Versailles Saint-Quentin-en-Yvelines

	France

5:	Centre d'études spatiales de la biosphère (CESBIO)

	http://www.cesbio.ups-tlse.fr

	CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III

	bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4

	France

6:	Laboratoire des écoulements géophysiques et industriels (LEGI)

	http://www.legi.grenoble-inp.fr/

	CNRS : UMR5519 – Université Joseph Fourier - Grenoble I – Institut polytechnique de Grenoble (Grenoble INP)

	1025 Rue de la piscine - BP 53 38041 GRENOBLE CEDEX 9

	France

7:	Institut Français de Recherche et d'Exploitation de la Mer (IFREMER)

	Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)

	France

8:	National Institute of Marine Research (cls)

	CLS

	Brest

	France

Research team:

ester

Abstract:

A renewal of interest for the radiometric L-band Sea Surface Salinity (SSS) remote sensing appeared in the 1990s and led to the Soil Moisture and Ocean Salinity (SMOS) satellite launched in November 2009 and to the Aquarius mission (launched in June 2011). However, due to low signal to noise ratio, retrieving SSS from L-band radiometry is very challenging. In order to validate and improve L-band radiative transfer model and salinity retrieval method used in SMOS data processing, the Cooperative Airborne Radiometer for Ocean and Land Studies (CAROLS) was developed. We analyze here a coastal flight (20 May 2009), in the Gulf of Biscay, characterized by strong SSS gradients (28 to 35 pss-78). Extensive in-situ measurements were gathered along the plane track. Brightness temperature $(T_{b})$ integrated over 800 ms correlates well with simulated $T_{b}$ (correlation coefficients between 0.80 and 0.96; standard deviations of the difference of 0.2 K). Over the whole flight, the standard deviation of the difference between CAROLS and in-situ SSS is about 0.3 pss-78 more accurate than SSS fields derived from coastal numerical model or objective analysis. In the northern part of the flight, CAROLS and in-situ SSS agree. In the southern part, the best agreement is found when using only V-polarization measured at 30$^{circ}$ incidence angle or when using a multiparameter retrieval assuming large error on $T_{b}$ (suggesting the presence of biases on H-polarization). When compared to high-resolution model SSS, the CAROLS SSS underlines the high SSS temporal variability in river plume and on continental shelf border, and the importance of using realistic river run-offs for modeling coastal SSS.

Fulltext language:

English

Journal:

IEEE Transactions on Geoscience and Remote Sensing
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN	0196-2892

Audience:

international

Publication date:

2012

Volume:

Issue:

Page, identifiant, ...:

1703 - 1715


hal-00674077, version 1
http://hal.archives-ouvertes.fr/hal-00674077
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From: Catherine Cardon <>
Submitted on: Friday, 24 February 2012 21:14:39
Updated on: Wednesday, 9 May 2012 10:19:02