[en] A new methodology using a combination of debiased non-Bayesian retrieval, DINEOF (Data Interpolating Empirical Orthogonal Functions) and multifractal fusion has been used to obtain Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) fields over the North Atlantic Ocean and the Mediterranean Sea. The debiased non-Bayesian retrieval mitigates the systematic errors produced by the contamination of the land over the sea. In addition, this retrieval improves the coverage by means of multiyear statistical filtering criteria. This methodology allows obtaining SMOS SSS fields in the Mediterranean Sea. However, the resulting SSS suffers from a seasonal (and other time-dependent) bias. This time-dependent bias has been characterized by means of specific Empirical Orthogonal Functions (EOFs). Finally, high resolution Sea Surface Temperature (OSTIA SST) maps have been used for improving the spatial and temporal resolution of the SMOS SSS maps. The presented methodology practically reduces the error of the SMOS SSS in the Mediterranean Sea by half. As a result, the SSS dynamics described by the new SMOS maps in the Algerian Basin and the Balearic Front agrees with the one described by in situ SSS, and the mesoscale structures described by SMOS in the Alboran Sea and in the Gulf of Lion coincide with the ones described by the high resolution remotely-sensed SST images (AVHRR).
Research center :
FOCUS - Freshwater and OCeanic science Unit of reSearch - ULiège
Disciplines :
Earth sciences & physical geography
Author, co-author :
Olmedo, Estrella
Taupier-Letage, Isabelle
Turiel, Antonio
Alvera Azcarate, Aida ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Language :
English
Title :
Improving SMOS Sea Surface Salinity in the Western Mediterranean Sea through Multivariate and Multifractal Analysis
Giorgi, F. Climate change hot-spots. Geophys. Res. Lett. 2006, 33, L08707, doi:10.1029/2006GL025734
Millot, C.; Taupier-Letage, I. Circulation in the Mediterranean Sea. In The Handbook of Environmental Chemistry, 5 Part K; Saliot, A., Ed.; Springer: Berlin/Heidelberg, Germany, 2005; pp. 29-66, doi:10.1007/b107143. Available online: https://hal.archives-ouvertes.fr/hal-01191856 (accessed on 23 January 2018)
Taupier-Letage, I.; Puillat, I.; Millot, C.; Raimbault, P. Biological response to mesoscale eddies in the Algerian Basin. J. Geophys. Res. Oceans 2003, 108, 3245
Isern-Fontanet, J.; Font, J.; Garcia-Ladona, E.; Emelianov, M.; Millot, C.; Taupier-Letage, I. Spatial structure of anticyclonic eddies in the Algerian basin (Mediterranean Sea) analyzed using the Okubo-Weiss parameter. Deep Sea Res. II 2004, 51, 3009-3028
Schroeder, K.; Garcìa-Lafuente, J.; Josey, S.; Artale, V.; Buongiorno-Nardelli, B.; Carrillo, A.; Gacic, M.; Gasparin, G.; Herrmann, M.; Lionello, P.; et al. Circulation of the Mediterranean Sea and its variability. In The Climate of the Mediterranean Region; Lionello, P., Ed.; Elsevier: Oxford, UK, 2012; pp. 187-256
Estournel, C.; Testor, P.; Damien, P.; D'ortenzio, F.; Marsaleix, P.; Conan, P.; Prieur, L. High resolution modelling of dense water formation in the north-western Mediterranean during winter 2012-2013: Processes and budget. J. Geophys. Res. Oceans 2016, 121, 5367-5392
Waldman, R.; Somot, S.; Herrmann, M.; Testor, P.; Estournel, C.; Sevault, F.; Prieur, L.; Mortier, L.; Coppola, L.; Taillandier, V.; et al. Estimating dense water volume and its evolution for the year 2012-2013 in the Northwestern Mediterranean Sea: An observing system simulation experiment approach. J. Geophys. Res. Oceans 2016, 121, 6696-6716
HYMEX (HYdrological Cycle in the Mediterranean EXperiment). Available online: https://www.hymex.org/(accessed on 23 January 2018)
Drobinski, P.; Ducrocq, V.; Allen, J.; Alpert, P.; Anagnostou, E.; Béranger, K.; Borga, M.; Braud, I.; Chanzy, A.; Davolio, S.; et al. HyMeX, a 10-year multidisciplinary project on the Mediterranean water 1 cycle. Bull. Am. Meteorol. Soc. 2014, 95, 1063-1082
Somot, S.; Sevault, F.; Déqué, M.; Crépon, M. 21st century climate change scenario for the Mediterranean using a coupled atmosphere-ocean regional climate model. Glob. Planet. Change 2008, 63, 112-126
Adloff, F.; Somot, S.; Sevault, F.; Jordà, G.; Aznar, R.; Déqué, M.; Herrmann, M.; Marcos, M.; Dubois, C.; Padorno, E.; et al. Mediterranean Sea response to climate change in an ensemble of twenty first century scenarios. Clim. Dyn. 2015, 45, 2775-2802
Somot, S.; Houpert, L.; Sevault, F.; Testor, P.; Bosse, A.; Taupier-Letage, I.; Bouin, M.; Waldman, R.; Cassou, C.; Sanchez-Gomez, E.; et al. Characterizing, modelling and understanding the climate variability of the deep water formation in the North-Western Mediterranean Sea. Clim. Dyn. 2016, 1-32, doi:10.1007/s00382-016-3295-0
Herrmann, M.; Diaz, F.; Estournel, C.; Marsaleix, P.; Ulses, C. Impact of atmospheric and oceanic interannual variability on the Northwestern Mediterranean Sea pelagic planktonic ecosystem and associated carbon cycle. J. Geophys. Res. Oceans 2013, 118, 5792-5813
Herrmann, M.; Estournel, C.; Diaz, F.; Adloff, F. Impact of climate change on the Northwestern Mediterranean Sea pelagic planktonic ecosystem and associated carbon cycle. J. Geophys. Res. Oceans 2014, 119, 5815-5836
Mecklenburg, S.; Drusch, M.; Kerr, Y.H.; Font, J.; Martin-Neira, M.; Delwart, S.; Buanadicha, G.; Reul, N.; Daganzo-Eurebio, E.; Oliva, R.; et al. ESA's Soil Moisture and Ocean Salinity Mission: Mission Performance and Operations. IEEE Trans. Geosci. Remote Sens. 2012, 50, 1354-1366
Font, J.; Camps, A.; Borges, A.; Martín-Neira, M.; Boutin, J.; Reul, N.; Kerr, Y.; Hahne, A.; Mecklenburg, S. SMOS: The Challenging Sea Surface Salinity Measurement From Space. Proc. IEEE 2010, 98, 649-665
Kerr, Y.; Waldteufel, P.; Wigneron, J.; Delwart, S.; Cabot, F.; Boutin, J.; Escorihuela, M.; Font, J.; Reul, N.; Gruhier, C.; et al. The SMOS mission: New tool for monitoring key elements of the global water cycle. Proc. IEEE 2010, 98, 666-687
Alvera-Azcárate, A.; Barth, A.; Parard, G.; Beckers, J. Analysis of SMOS sea surface salinity data using DINEOF. Remote Sens. Environ. 2016, 180, 137-145
Isern-Fontanet, J.; Olmedo, E.; Turiel, A.; Ballabrera-Poy, J.; García-Ladona, E. Retrieval of eddy dynamics from SMOS sea surface salinity measurements in the Algerian Basin (Mediterranean Sea). Geophys. Res. Lett. 2016, 43, 6427-6434
Olmedo, E.; Martínez, J.; Turiel, A.; Ballabrera-Poy, J.; Portabella, M. Debiased non-Bayesian retrieval: A novel approach to SMOS Sea Surface Salinity. Remote Sens. Environ. 2017, 193, 103-126
Olmedo, E.; Martínez, J.; Umbert, M.; Hoareau, N.; Portabella, M.; Ballabrera-Poy, J.; Turiel, A. Improving time and space resolution of SMOS salinity maps using multifractal fusion. Remote Sens. Environ. 2016, 180, 246-263
ESA. Available online: https://earth.esa.int/web/guest/-/level-1b-full-polarization-6889 (accessed on 23 January 2018)
Global SMOS SSS Maps. Available online: http://bec.icm.csic.es/ocean-experimental-dataset-global/(accessed on 23 January 2018)
Puertos del Estado. Available online: http://www.puertos.es (accessed on 23 January 2018)
Copernicus Marine Environment Monitoring Service. Available online: http://marine.copernicus.eu (accessed on 23 January 2018)
OceanSITES. Available online: http://www.oceansites.org (accessed on 23 January 2018)
SOCIB. Available online: http://www.socib.eu/?seccion=observingFacilities&facility=mooring&id=146 (accessed on 23 January 2018)
SOCIB. Available online: http://www.socib.eu/?seccion=observingFacilities&facility=mooring&id=143 (accessed on 23 January 2018)
TRANSMED. Available online: http://www.mio.univ-amu.fr/?TRANSMED (accessed on 23 January 2018)
Taupier-Letage, I.; Bachelier, C.; Rougier, G. Thermosalinometer TRANSMED, Marfret Niolon, definitive data set. SEDOO OMP 2014, doi:10.6096/MISTRALS-HyMeX.1127
Donlon, C.J.; Martin, M.; Stark, J.; Roberts-Jones, J.; Fiedler, E.; Wimmer, W. The operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system. Remote Sens. Environ. 2012, 116, 140-158
MIO. Available online: www.ifremer.fr/osis_2014 (accessed on 19 March 2018)
Taupier-Letage, I. On the use of thermal infrared images for circulation studies: Applications to the eastern Mediterranean basin. In Remote Sensing of the European Seas; Barale, V., Gade, M., Eds.; Springer: Berlin/Heidelberg, Germany, 2008. Available online: https://hal.archives-ouvertes.fr/hal-01196705 (accessed on 23 January 2018)
González-Gambau, V.; Olmedo, E.; Turiel, A.; Martínez, J.; Ballabrera-Poy, J.; Portabella, M.; Piles, M. Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique. Remote Sens. Environ. 2016, 180, 202-220
Zweng, M.; Reagan, J.; Antonov, J.; Locarnini, R.; Mishonov, A.; Boyer, T.; Garcia, H.; Baranova, O.; Johnson, D.; Seidov, D.; et al. World Ocean Atlas 2013, Volume 2: Salinity; Levitus, A., Ed.; Mishonov Technical; NOAA: Silver Spring, MD, USA, 2013; pp. 39-74
Beckers, J.M.; Rixen, M. EOF calculations and data filling from incomplete oceanographic data sets. J. Atmos. Ocean. Technol. 2003, 20, 1839-1856
Alvera-Azcárate, A.; Barth, A.; Rixen, M.; Beckers, J.M. Reconstruction of incomplete oceanographic data sets using Empirical Orthogonal Functions. Application to the Adriatic Sea surface temperature. Ocean Model. 2005, 9, 325-346
Alvera-Azcárate, A.; Barth, A.; Sirjacobs, D.; Beckers, J.M. Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF. Ocean Sci. 2009, 5, 475-485
Alvera-Azcárate, A.; Barth, A.; Beckers, J.M.;Weisberg, R.H. Multivariate Reconstruction of Missing Data in Sea Surface Temperature, Chlorophyll and Wind Satellite Fields. J. Geophys. Res. 2007, 112, C03008, doi:10.1029/2006JC003660
Nechad, B.; Ruddick, K.; Park, Y. Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters. Remote Sens. Environ. 2010, 114, 854-866
Alvera-Azcárate, A.; Vanhellemont, Q.; Ruddick, K.; Barth, A.; Beckers, J.M. Analysis of high frequency geostationary ocean colour data using DINEOF. Estuar. Coast. Shelf Sci. 2015, 159, 28-36
Turiel, A.; Solé, J.; Nieves, V.; Ballabrera-Poy, B.; García-Ladona, E. Tracking oceanic currents by singularity analysis of Microwave Sea Surface Temperature images. Remote Sens. Environ. 2008, 112, 2246-2260
Isern-Fontanet, J.; García-Ladona, E.; Font, J. Microcanonical multifractal formalism: Application to the estimation of ocean surface velocities. J. Geophys. Res. 2007, 112, 2156-2202
Nieves, V.; Llebot, C.; Turiel, A.; Solé, J.; García-Ladona, E.; Estrada, M.; Blasco, D. Common turbulent signature in sea surface temperature and chlorophyll maps. Geophys. Res. Lett. 2007, L23602, doi:10.1029/2007GL030823
Umbert, M.; Hoareau, N.; Turiel, A.; Ballabrera-Poy, J. New blending algorithm to synergize ocean variables: The case of SMOS sea surface salinity maps. Remote Sens. Environ. 2014, 146, 188-200
Hernández-Carrasco, I.; Sudre, J.; Garcon, V.; Yahia, H.; Garbe, C.; Paulmier, A.; Dewitte, B.; Illig, S.; Dadou, I.; González-Dávila, M.; et al. Reconstruction of super-resolution ocean pco2 and airsea fluxes of co2 from satellite imagery in the southeastern atlantic. Biogeosciences 2015, 12, 5229-5245
González-Gambau, V.; Turiel, A.; Olmedo, E.; Martínez, J.; Corbella, I.; Camps, A. Nodal Sampling: A New Image Reconstruction Algorithm for SMOS. IEEE Trans. Geosci. Remote Sens. 2016, 54, 2314-2328
González-Gambau, V.; Olmedo, E.; Martínez, J.; Turiel, A.; Duran, I. Improvements on Calibration and Image Reconstruction of SMOS for Salinity Retrievals in Coastal Regions. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2017, 10, 3064-3078
Martín-Neira, M.; Oliva, R.; Corbella, I.; Torres, F.; Duffo, N.; Durán, I.; Kainulainen, J.; Closa, A.; Zurita, A.; Cabot, F.; et al. SMOS Instrument performance and calibration after 5 years in orbit. Remote Sens. Environ. 2016, 180, 19-39
DINEOF Analysis of SMOS Sea Surface Salinity Data. Available online: http://www.gher.ulg.ac.be/WP/(accessed on 23 January 2018)
Argo. Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE 2000, doi:10.17882/42182
CIESM. Available online: www.ciesm.org/marine/programs/partnerships.htm (accessed on 23 January 2018)