Soon 8 candles for SMOS!!!!! (5/8)

Category : CATDS, L2, L3, Model, Ocean

Another post from Jacqueline…and Jérôme

Water cycle in the Bay of Bengal

J. Vialard , S. Marchand et al. (LOCEAN)

The Bay of Bengal receives large amounts of freshwater from the Ganges-Brahmaputra river and monsoonal rainfall. The associated very low surface salinities induce a very stable stratification that inhibits vertical mixing of heat and nutrients. This has strong consequences for the climatological rainfall, intensification of tropical cyclones and ocean productivity in this region.

Available climatologies based on in situ data (e.g. World Ocean Atlas, top row) do not resolve the very strong horizontal gradients in this region. SMOS data (middle row) reveal that the narrow, coastal-trapped East-Indian Coastal Current transport the freshwater plume of Ganges-Brahmaputra along the Indian coast from October to December, resulting in large horizontal gradients (typically ~5 pss between coastal and offshore waters). The 8 years-long time series reveals a strong inter-annual variability of the freshwater plume southward extent, which can be related to Indian Ocean climate variability.


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Caption: World ocean atlas (derived from in situ data, top row) and SMOS (middle row) (SSS climatology (altimeter-derived surface current climatology are overlaid on both panels). (Bottom row) Latitude-time section of SMOS SSS along the east coast of India. The southward extent of the freshwater plume varies depending on Indian Ocean climate variability associated with the Indian Ocean Dipole (Akhil et al. in prep.). (SMOS CATDS CPDC L3Q SSS)

To know more about associated work:

Akhil, V.P., F. Durand, M. Lengaigne, J. Vialard, M.G. Keerthi, V.V. Gopalakrishna, C. Deltel, F. Papa and C. de Boyer Montégut, 2014: A modeling study of the processes of surface salinity seasonal cycle in the Bay of Bengal, J. Geophys. Res. Oceans, 119, doi:10.1002/2013JC009632.

Akhil, V. P., M. Lengaigne, J. Vialard, F. Durand, M. G. Keerthi, A. V. S. Chaitanya, F. Papa, V. V. Gopalakrishna, and C. de Boyer Montégut, 2016a: A modeling study of processes controlling the Bay of Bengal sea surface salinity interannual variability, J. Geophys. Res. Oceans, 121, 8471–8495, doi:10.1002/2016JC011662.

Akhil, V.P., M. Lengaigne, F. Durand, J. Vialard, V.V. Gopalakrishna, C. de Boyer Montégut and J. Boutin, 2016b: Validation of SMOS and Aquarius remotely-sensed surface salinity in the Bay of Bengal, IJRS, 37,  doi: 10.1080/01431161.2016.1145362

Boutin, J., J.L. Vergely, S. Marchand, F. D’Amico, A. Hasson, N. Kolodziejczyk, N. Reul, G. Reverdin (2017), Revised mitigation of systematic errors in SMOS sea surface salinity: a Bayesian approach, Remote Sensing of Environment, in revision.

Chaittanya, A.V.S., M. Lengaigne, J. Vialard, V.V. Gopalakrishna, F. Durand, Ch. Krantikumar, V. Suneel, F. Papa and M. Ravichandran, 2014: Fishermen-operated salinity measurements reveal a “river in the sea” flowing along the east coast of India, Bull. Am. Met. Soc., 95, 1897-1908.

Fournier, S., J. Vialard, M. Lengaigne, T. Lee, M.M. Gierach, A.V.S. Chaitanya, Unprecedented satellite synoptic views of the Bay of Bengal “river in the sea”, 2017: J. Geophys. Res., in (minor) revision.

New salinity products are available at CATDS!

Category : CATDS, L3, L4, Ocean

Dear CATDS user,

New salinity products are available at CATDS. A new correction for systematic errors (land-sea and seasonal-latitudinal ) has been implemented in CATDS CPDC and in CATDS CEC LOCEAN.

Concerning CATDS CPDC, a RE05 reprocessing of ocean salinity is available from January 2010 to March 2017; the operational processing has been updated accordingly. Binned maps at usual spatial and temporal resolution are available. The SMOS SSS corrected for systematic errors are in MIR_CSQ3 files; non corrected SMOS SSS remain available in MIR_CSF3 files. The corrected product is limited to 45N-47S, the correction remaining uncertain at higher latitudes. A new ATBD is available at http://www.catds.fr/Resources/Documentation.
You can download this product from the usual ftp site : ftp://ext-catds-cpdc:catds2010@ftp.ifremer.fr/Ocean_products/

Concerning CATDS CEC-LOCEAN, 9-day and 18-day products sampled at 25km resolution are provided every 4 days. They cover all latitudes from January 2010 to December 2016 (see further description in the documentation at http://www.catds.fr/Products/Available-products-from-CEC-OS/L3-Debiased-Locean-v2).
A validation of these products has been presented at EGU (see poster at http://www.catds.fr/Resources/Documentation).
You can download this product from the usual ftp site : ftp://ext-catds-cecos-locean:catds2010@ftp.ifremer.fr/Ocean_products/

Best regards

The CATDS Team

SMOS helps discriminating water sources in cold seas

Category : L2, Ocean

Discriminating water sources from space in the Arctic Ocean: A case study for the southern Beaufort Sea using MODIS ocean color and SMOS salinity data

A recent paper by Matsuoka et al. (2016), using SMOS ESA L2 SSS, found nice correlations between the interannual variability of SMOS SSS and ocean color CDOM (see fig 1 and 2 below) in the Mackenzie river mouth. Using this region as a case study, they derive an algorithm using this two sets of data for getting reasonable fractions of river water. As stated by the authors ‘Application of this algorithm may lead to the discrimination of water sources in the surface layer of the Arctic Ocean in various environments where seawater, ice melt water, and river water are intermingled,which might be useful to improve our understanding of physical and biogeochemical processes related to each water source’.

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Fig.1 : Satellite images of CDOM absorption coefficient at 443 nm [aCDOM(443),m−1] using MODIS ocean color data in July to August 2010 to 2012 (from Matsuoka et al. (2016))

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Fig. 2 : Same as Fig. 1 for SMOS SSS (from Matsuoka et al. (2016)).

Atsushi Matsuoka, Marcel Babin, Emmanuel C. Devred, A new algorithm for discriminating water sources from space: A case study for the southern Beaufort Sea using MODIS ocean color and SMOS salinity data, Remote Sensing of Environment, Volume 184, October 2016, Pages 124-138, ISSN 0034-4257, http://dx.doi.org/10.1016/j.rse.2016.05.006. (//www.sciencedirect.com/science/article/pii/S0034425716301997)

SMOS REPROCESSED Level 2 DATA (V6) now available

Category : Data, L1, L2, Ocean

Dear SMOS data user -

We would like to inform you that the reprocessed level 2 soil moisture and sea surface salinity data are now available on the new ESA SMOS Online Dissemination service: https://smos-ds-02.eo.esa.int/oads/access/.

This release aligns the Level 2 soil moisture and sea surface salinity data available operationally already since May 2015 with the reprocessed data archive: SMOS data users now have a complete v6 data set available.

The algorithm evolutions implemented in the v6 data set are described in the respective Algorithm Theoretical Baseline Documents (ATBDs) and in the read-me-first notes: https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/smos/content/-/asset_publisher/t5Py/content/data-types-levels-formats-7631. We would like to encourage all users to familiarise themselves with the read-me-first notes before using the data.

The level 2 reprocessed data products are available on the new ESA SMOS Online Dissemination service accessible here (smos-diss.eo.esa.int). The new service allows to access data by https and ftp/ftps transfer protocols for all registered ESA EO Single Sign-On (EO-SSO) users. The online service facilitates the data access with enhanced functionality for data navigation and selection by data type, acquisition time, geographical area and data format (i.e. ESA Earth Explorer (EEF) or NetCDF format).

SMOS level 1 brightness temperature data and  ECMWF auxiliary products are also available from the new ESA SMOS Online Dissemination service.

For further details on how to access the SMOS data  and how to register as ESA EO_SSO please https://earth.esa.int/web/guest/missions/esa-operational-eo-missions/smos/content/-/asset_publisher/t5Py/content/how-to-obtain-data-7329.

Kind regards

Susanne Mecklenburg

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