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Anis Elyouncha

Researcher at Chalmers University of Technology

Publications -  22
Citations -  144

Anis Elyouncha is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Wind speed & Synthetic aperture radar. The author has an hindex of 5, co-authored 20 publications receiving 95 citations. Previous affiliations of Anis Elyouncha include Royal Military Academy & Military Academy.

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Journal ArticleDOI

Homogenization of scatterometer wind retrievals

TL;DR: In this article, the calibration/validation component of the European Remote Sensing Satellite (ERS)-1 and ERS-2 wind speed biases is investigated. And the difference between the expected and measured NRCS is then used to set up empirical models aiming at the correction for biases in ERS 1 and Ers-2 WNFNRCS calibrations.
Journal ArticleDOI

Measurements of Sea Surface Currents in the Baltic Sea Region Using Spaceborne Along-Track InSAR

TL;DR: Using SAR as a source of wind speed reduces the bias and root-mean-squared-error (RMSE) of the retrieved currents by 20% and 15%, respectively, which demonstrates that current retrieval from ATI-SAR can be completed independently of atmospheric models.
Proceedings ArticleDOI

Assessment of the corrected CMOD6 GMF using scatterometer data

TL;DR: In this article, an empirical correction of the CMOD5.n GMF has been suggested recently by KNMI resulting in a new GMF called CMOD6. This correction was derived from the comparison of the ASCAT backscatter measurements and the modified CMOD 5.n model.
Journal ArticleDOI

ERS-2 Scatterometer: Mission Performances and Current Reprocessing Achievements

TL;DR: An overview of the evolution of the European Remote-sensing Satellite (ERS)-2 scatterometer mission during the last 16 years is presented, highlighting the changes in both satellite configuration and on-ground data processing algorithm.
Journal ArticleDOI

Empirical Relationship Between the Doppler Centroid Derived From X-Band Spaceborne InSAR Data and Wind Vectors

TL;DR: It is found that empirical models are more consistent with both backscatter and Doppler data than theory-based models, which motivates a further improvement of SAR dc GMFs.