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Satellite-driven preliminary estimates of Total Alkalinity in the Mediterranean basin.

Authors :
Sabia, Roberto
Olmedo, Estrella
Cossarini, Giampiero
Turiel, Antonio
Alvera-Azcárate, Aida
Martinez, Justino
Fernández-Prieto, Diego
Source :
Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.
Publication Year :
2019

Abstract

ESA SMOS satellite [1] has been providing Sea Surface Salinity (SSS) measurements, for the first time from space, since November 2009. Until recently, inherent algorithm limitations or external interferences hampered a reliable provision of satellite SSS data in semi-enclosed basin such as the Mediterranean. This has however been overcome through different strategies in the processing chain and data filtering approach which allowed a consistent SSS data stream in the Mediterranean Sea [2, 3]. This recent capability has been in turn used to infer the spatial and temporal distribution of Total Alkalinity (TA - a crucial parameter of the marine carbonate system) in this basin, exploiting some direct relationships existing between salinity and Alkalinity. Preliminary results [4] focused on the differences existing in several parameterizations [e.g, 5] relating these two variables, and how they vary over one-year timeframe. This is now been expanded over a larger timeframe to assess quantitatively the seasonal to interannual variability of the TA estimates. Moreover, to verify the consistency and accuracy of the derived products, these data are being properly validated against a proper ensemble of in-situ, climatology and model outputs within the Mediterranean basin. An error propagation exercise is also being planned to assess how uncertainties in the satellite data would translate into the final products accuracy.The resulting preliminary estimates of Alkalinity in the Mediterranean Sea will be linked to the overall carbonate system in the broader context of Ocean Acidification assessment and marine carbon cycle.[1] J. Font et al., "SMOS: The Challenging Sea Surface Salinity Measurement From Space," in Proceedings of the IEEE, vol. 98, no. 5, pp. 649-665, May 2010. doi: 10.1109/JPROC.2009.2033096[2] Olmedo, E., J. Martinez, A. Turiel, J. Ballabrera-Poy, and M. Portabella, "Debiased non-Bayesian retrieval: A novel approach to SMOS Sea Surface Salinity". Remote Sensing of Environment 193, 103-126 (2017).[3] Alvera-Azcárate, A., A. Barth, G. Parard, J.-M. Beckers, Analysis of SMOS sea surface salinity data using DINEOF, In Remote Sensing of Environment, Volume 180, 2016, Pages 137-145, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2016.02.044.[4] Sabia, R., E. Olmedo, A. Turiel, J. Martinez, A. Alvera-Azcarate, G. Cossarini, SMOS Satellite Inference of Alkalinity over Mediterranean Basin, IGARSS '18 (International Geoscience and Remote Sensing Symposium), Valencia, Spain, July 23 –27, 2018.[5] Cossarini, G., Lazzari, P., and Solidoro, C.: Spatiotemporal variability of alkalinity in the Mediterranean Sea, Biogeosciences, 12, 1647-1658, https://doi.org/10.5194/bg-12-1647-2015, 2015. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10297006
Volume :
21
Database :
Academic Search Index
Journal :
Geophysical Research Abstracts
Publication Type :
Academic Journal
Accession number :
140484295