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Retrieval and assessment of sub-mesoscalewind velocity vectors with Synthetic Aperture Radar

Gisela Carvajal (Institutionen för rymd- och geovetenskap, Radarfjärranalys) ; Leif E.B. Eriksson (Institutionen för rymd- och geovetenskap, Radarfjärranalys) ; Lars M. H. Ulander (Institutionen för rymd- och geovetenskap, Radarfjärranalys)
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011. Vancouver, 24-29 July 2011 p. 2041-2044. (2011)
[Konferensbidrag, refereegranskat]

Wind vector fields are currently available from different sources at mesoscale resolutions (2 km to 200 km). The commonly provided wind resolution on 25 km imposes a limit in coastal areas and in the study of small-scale phenomena occurring in the ocean surface. Since wind is the driving force of the ocean, the study of its behavior in sub-mesoscale (< 10 km), improves the understanding of the ocean state. This paper presents a description and assessment of a wind velocity algorithm implemented for C-band (frequency 5.3 GHz) Synthetic Aperture Radar (SAR) data to detect sub-mesoscale wind fields. Results are obtained with the algorithm applied on 14 different SAR images. The quality assessment is performed by the comparison with wind velocity estimates from a numerical weather model and a scatterometer sensor. The statistics of the wind speed retrievals show a bias of about 0.5 m/s, a root mean square (rms) error of 2.6 m/s, and correlation of 79%. For the wind direction, the bias is lower than 8°, with a rms error of about 40° and a correlation of about 85%. The large magnitude of the rms error in the direction is attributed to the differences in variability and resolutions of the data.

Nyckelord: CMOD-IFR2, local gradient, ocean winds, synthetic aperture radar (SAR), wind direction, wind speed, wind vector

Denna post skapades 2011-12-20. Senast ändrad 2016-05-24.
CPL Pubid: 150514


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Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Radarfjärranalys (2010-2017)


Elektroteknik och elektronik

Chalmers infrastruktur