Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique

González-Gambau, Verónica; Olmedo, Estrella; Turiel, Antonio; Martínez, Justino; Ballabrera-Poy, Joaquim; Portabella, Marcos; Piles, María

doi:10.1016/j.rse.2015.12.032

Cited by 21 publications

(19 citation statements)

References 39 publications

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“…Future improvements of this SMOS SSS product are aimed at reducing the error of the salinity retrievals at high latitudes. Enhanced image reconstruction techniques as the one introduced in [48] have been assessed in [49,50] reaching promising results. The decrease of the error in the salinity retrieval would allow generating SMOS SSS maps with smaller correlation radii.…”

Section: Discussionmentioning

confidence: 99%

“…In other words, the generation of SMOS SSS maps with smaller correlation radii and the same level of noise as in the case of the global SSS maps requires SMOS SSS retrievals less noisy. In this sense, improvements at T B level as the ones introduced in [48] and assessed at salinity level in [49,50] are providing promising results in terms of noise reduction in the SSS retrievals. The application of this technique will probably help to retrieve more accurate SSS in those regions and therefore to generate SMOS SSS maps with smaller correlation radii (more appropriate to capture the dynamics of this region).…”

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confidence: 91%

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Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

et al. 2018

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This paper aims to present and assess the quality of seven years (2011–2017) of 25 km nine-day Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) objectively analyzed maps in the Arctic and sub-Arctic oceans ( 50 ∘ N– 90 ∘ N). The SMOS SSS maps presented in this work are an improved version of the preliminary three-year dataset generated and freely distributed by the Barcelona Expert Center. In this new version, a time-dependent bias correction has been applied to mitigate the seasonal bias that affected the previous SSS maps. An extensive database of in situ data (Argo floats and thermosalinograph measurements) has been used for assessing the accuracy of this product. The standard deviation of the difference between the new SMOS SSS maps and Argo SSS ranges from 0.25 and 0.35. The major features of the inter-annual SSS variations observed by the thermosalinographs are also captured by the SMOS SSS maps. However, the validation in some regions of the Arctic Ocean has not been feasible because of the lack of in situ data. In those regions, qualitative comparisons with SSS provided by models and the remotely sensed SSS provided by Aquarius and SMAP have been performed. Despite the differences between SMOS and SMAP, both datasets show consistent SSS variations with respect to the model and the river discharge in situ data, but present a larger dynamic range than that of the model. This result suggests that, in those regions, the use of the remotely sensed SSS may help to improve the models.

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Section: Discussionmentioning

confidence: 99%

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confidence: 91%

Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

et al. 2018

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“…SMOS and Aquarius have been the first SSS missions, with both carrying onboard L-band microwave radiometers. L-band satellite measurements, notably interferometric measurements (SMOS), have proven to be challenging despite the many on-going efforts to improve the quality of retrievals [Gonzalez-Gambau, 2016a, 2016b. As such, data post-processing is mandatory to recover structured and meaningful geophysical information from remote sensing SSS retrivals.…”

Section: Introductionmentioning

confidence: 99%

Singularity Power Spectra: A Method to Assess Geophysical Consistency of Gridded Products—Application to Sea-Surface Salinity Remote Sensing Maps

Hoareau¹,

Turiel²,

Portabella³

et al. 2018

IEEE Trans. Geosci. Remote Sensing

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“…Therefore, since the large scale salinity patterns are well described, future releases of these products should now be focused on using different interpolation/fusion schemes to improve the effective spatial and temporal resolutions of the SMOS SSS products. Since systematic negative biases still appear in the eastern Mediterranean Sea, a better mitigation of RFI contamination will then be required in these regions, for example by improving the quality of the brightness temperature with methodologies [54,55] that have already been proven to improve salinity retrieval in coastal areas [56]. Furthermore, all the ABACUS high resolution in situ data used in this study come from three glider surveys carried out in the AB during fall season (i.e., September to December).…”

Section: Discussionmentioning

confidence: 99%

In Situ and Satellite Sea Surface Salinity in the Algerian Basin Observed through ABACUS Glider Measurements and BEC SMOS Regional Products

et al. 2019

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The Algerian Basin is a key area for the general circulation in the western Mediterranean Sea. The basin has an intense inflow/outflow regime with complex circulation patterns, involving both fresh Atlantic water and more saline Mediterranean water. Several studies have demonstrated the advantages of the combined use of autonomous underwater vehicles, such as gliders, with remotely sensed products (e.g., altimetry, MUR SST) to observe meso- and submesoscale structures and their properties. An important contribution could come from a new generation of enhanced satellite sea surface salinity (SSS) products, e.g., those provided by the Soil Moisture and Ocean Salinity (SMOS) mission. In this paper, we assess the advantages of using Barcelona Expert Center (BEC) SMOS SSS products, obtained through a combination of debiased non-Bayesian retrieval, DINEOF (data interpolating empirical orthogonal functions) and multifractal fusion with high resolution sea surface temperature (OSTIA SST) maps. Such an aim was reached by comparing SMOS Level-3 (L3) and Level-4 (L4) SSS products with in situ high resolution glider measurements collected in the framework of the Algerian Basin Circulation Unmanned Survey (ABACUS) observational program conducted in the Algerian Basin during falls 2014–2016. Results show that different levels of confidence between in situ and satellite measurements can be achieved according to the spatial scales of variability. Although SMOS values slightly underestimate in situ observations (mean difference is −0.14 (−0.11)), with a standard deviation of 0.25 (0.26) for L3 (L4) products), at basin scale, the enhanced SMOS products well represent the salinity patterns described by the ABACUS data.

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Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique

Cited by 21 publications

References 39 publications

Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

Singularity Power Spectra: A Method to Assess Geophysical Consistency of Gridded Products—Application to Sea-Surface Salinity Remote Sensing Maps

In Situ and Satellite Sea Surface Salinity in the Algerian Basin Observed through ABACUS Glider Measurements and BEC SMOS Regional Products

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