SMOS is on twitter! simply go to --> https://twitter.com/SMOS_satellite! Nemesio & Beatriz

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Potential of SMOS at measuring SSS with a precision... By J., Boutin, N. Martin, N. Kolodziejczyk and G. Reverdin from LOCEAN/IPSL, Paris It has been shown by Durand et al. (2013), Reul et al. (2013), Hasson et al. (2014) that SMOS detects large scale interrannual variability of SSS. The LOCEAN group check this again over 2010-2014. The monthly anomalies of SMOS SSS with respect to a SMOS SSS monthly climatology very well...

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Research Assistant or Research Associate in Land Surface... Research Assistant or Research Associate in Land Surface Modeling and Soil Moisture Scaling Summary: A postdoctoral position is available to evaluate the performance of the Joint UK Land Environment Simulator (JULES) in reproducing soil moisture dynamics and key land-atmosphere interactions in the UK at hyper-spatial resolution in combination with novel...

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Vacancy Notice at Eumetsat for a Research Fellowship... EUMETSAT opens a VN for a Research Fellowship : Use of satellite soil moisture information for Nowcasting-VN_140721140322_EN[1]Short Range NWP forecasts at CNMCA (Italian National Meteorological Center) NWP section Pratica di Mare (Rome) Italy

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SMOS and La Niña signature.... Analyzing the 2010-2011 La Niña signature in the tropical Pacific sea surface salinity using in situ data, SMOS observations and a numerical simulation Audrey Hasson(1, *), Thierry Delcroix(1), Jacqueline Boutin(2), Raphael Dussin(3), Joaquim Ballabrera-Poy(4) The tropical Pacific Ocean remained in a La Niña phase from mid 2010 to mid-2012. The near-surface...

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SMOS is on twitter!

Category : Non classé

simply go to –> https://twitter.com/SMOS_satellite!

Nemesio & Beatriz

Potential of SMOS at measuring SSS with a precision better than 0.2 (psu!)

Category : CATDS, L2, Ocean

By J., Boutin, N. Martin, N. Kolodziejczyk and G. Reverdin from LOCEAN/IPSL, Paris

It has been shown by Durand et al. (2013), Reul et al. (2013), Hasson et al. (2014) that SMOS detects large scale interrannual variability of SSS.

The LOCEAN group check this again over 2010-2014. The monthly anomalies of SMOS SSS with respect to a SMOS SSS monthly climatology very well agree with SSS monthly anomalies derived from in situ SSS using the In Situ Analysis System (ISAS) optimal interpolation by F. Gaillard (LPO) and the Coriolis Center.

SMOSAD_ISAS_aSSS

Animation (click to start) : Top: SST anomaly in Niño 3 box from http://www.cpc.ncep.noaa.gov/data/indices/sstoi.indices and corresponding Indian Ocean Dipole (IOD) Index (SST difference between eastern and western equatorial Indian Ocean) from the Australian bureau of Meteorology (BOM). Bottom: SSS monthly anomalies with respect to a monthly climatology (July 2010-June2014): Left)SMOS SSS anomalies; Right)ISAS SSS anomalies

By computing anomalies with respect to 4-year monthly means, SMOS SSS systematic biases are removed. This leads to rms differences between SMOS SSS monthly anomalies and ISAS SSS monthly anomalies the order of 0.2 over large regions, while rms difference of SMOS SSS minus ISAS SSS are on the order of 0.4 over large regions.

image boutin

Figure: Bias (top right) and standard deviation (bottom right) of the differences between SMOS and ISAS monthly SSS (red) and between SMOS and ISAS SSSanomalies (Blue). 6 regions are considered (from left to right): 60°S-60°N; 45°S-45°N; 30°S-30°N; (45°S-5°S, 140°W-95°W); (15°N-30°N,45°W-30°W); (5°N-15°N,110°W-180°W)

Part of this rms difference is due to spatial structures at shorter scale than 300km not resolved by ISAS (Hernandez et al. 2014). Hence this result strongly suggests that SMOS has the potential of measuring SSS at monthly and 100×100km2 scale with a precision better than 0.2 (Hernandez et al. 2014 found 0.15 in the subtropical north Atlantic) provided that systematic biases are removed.

This study has been performed with CATDS CEC-LOCEAN maps built using ESA version 5 reprocessed SSS. Systematic latitudinal biases present in version 5 are expected to decrease in version 6.

Durand, F., G. Alory, R. Dussin, and N. Reul (2013), SMOS reveals the signature of Indian Ocean Dipole events, Ocean Dynamics, 63(11-12), 1203-1212.

Hasson, A., T. Delcroix, J. Boutin, R. Dussin, and J. Ballabrera-Poy (2014), Analyzing the 2010–2011 La Niña signature in the tropical Pacific sea surface salinity using in situ data, SMOS observations, and a numerical simulation, Journal of Geophysical Research: Oceans, 119(6), 3855-3867, doi:10.1002/2013JC009388.

Hernandez, O., J. Boutin, N. Kolodziejczyk, G. Reverdin, N. Martin, F. Gaillard, N. Reul, and J. L. Vergely (2014), SMOS salinity in the subtropical north Atlantic salinity maximum: 1. Comparison with Aquarius and in situ salinity, Journal of Geophysical Research: Oceans, in press.

Reul, N., et al. (2013), Sea Surface Salinity Observations from Space with the SMOS Satellite: A New Means to Monitor the Marine Branch of the Water Cycle, Surv Geophys, 1-42.

Research Assistant or Research Associate in Land Surface Modeling and Soil Moisture Scaling

Category : position opening

Research Assistant or Research Associate in Land Surface Modeling and Soil Moisture Scaling
Summary: A postdoctoral position is available to evaluate the performance of the Joint UK Land Environment Simulator (JULES) in reproducing soil moisture dynamics and key land-atmosphere interactions in the UK at hyper-spatial resolution in combination with novel cosmic-ray soil moisture technology and remote sensing products. A PhD in meteorology/hydrology or related disciplines (e.g. environmental science) with an interest in land-atmosphere interactions, numerical modeling, remote sensing, and data assimilation is essential.

This 30-month appointment (with potential extension to 36 months) is part of the NERC-funded project AMUSED (A MUlti-scale Soil moisture-Evapotranspiration Dynamics study) whose ultimate goal is to identify the spatiotemporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions. AMUSED will employ new innovative technology for soil moisture monitoring using cosmic-rays sensors in combination with land surface modeling, satellite remote sensing, and data assimilation methods. Some fieldwork will take place, especially at the initial stages of the project to deploy and install/calibrate cosmic-ray soil moisture sensors. For more information about AMUSED, please visit http://www.bris.ac.uk/cabot/news/2014/502.html.

Required skills include experience using land surface models (e.g., JULES, CLM, Noah, VIC) to predict soil-vegetation-atmosphere interactions, some programming knowledge (e.g., Fortran or C) and experience with Linux operating system, demonstrated ability to publish peer-reviewed papers, effective written and oral communication skills, willingness to work in a team, in an academic research environment, and development collaborative links.

Desired skills include knowledge of hydrometeorology, land-atmosphere interactions, data assimilation and/or remote sensing, and some previous experience with fieldwork activities.

For informal inquiries, please contact Dr Rafael Rosolem (rafael.rosolem@bristol.ac.uk)

To apply, please visit http://bit.ly/1wor2CP
or
http://www.jobs.ac.uk/job/AJP006/research-assistant-or-research-associate-in-land-surface-modelling-and-soil-moisture-scaling/

Vacancy Notice at Eumetsat for a Research Fellowship

Category : position opening

EUMETSAT opens a VN for a

Research Fellowship :

Use of satellite soil moisture information for Nowcasting-VN_140721140322_EN[1]Short Range NWP forecasts

at CNMCA (Italian National Meteorological Center) NWP section
Pratica di Mare (Rome) Italy

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