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Level 1 Products from the 2013 campaign of the airborne Ku-Band KuROS radar

  • DOI
  • 10.21413/Kuros-2013.L1.v1
  • Sujet
  • Radar observation of the ocean surface
  • Date de publication
  • 2017-01-13
  • Période
  • 2013-02-06/2013-03-15
  • Localisation(s)
  • Iroise sea, Mediterranean sea
  • Auteur(s)
  • Danièle Hauser, Christophe Dufour, René Valentin, Christophe Le Gac, Nicolas Pauwels
  • Affiliation(s)
  • LATMOS, CNRS, UVSQ, UPMC
  • Editeur
  • LATMOS
  • Financement(s)
  • CNES
  • Langue(s)
  • Anglais
  • Résumé
  • This data set contains radar observations of the ocean surface . The instrument is an airborne Ku-Band Doppler radar named "KuROS".
    This instrument was designed to measure the directional spectra of surface ocean waves , the ocean surface wind vector, and related parameters including the normalized radar cross-section profile with incidence.
    This data set is relative to the Level 1 product, which contains the radar wave form (intensity and phase) versus range (with 1.5m or 5 m resolution), the normalized radar cross-section versus incidence angle and ancillary data related to the geometry and localization of observations. The data cover two ranges of incidence angles (one between 5 and 20° from nadir and the other one around 40°) and all azimuth angles. Level 2 data will correspond to ocean wave spectra estimated from the observations collected between 5° and 20°.
    This data set is relative to the 2013 measurement campaign with 13 flights over the Mediterranean sea (Gulf of Lion) and 2 flights over the Iroise sea (near to the Atlantic coast of Brittany-France) in February and March 2013.
  • Méthode(s)
  • The Leve 1 products are obtained from the raw data of KuROS after the following main steps: time integration over 33 ms, conversion to geophysical units, radiometric and geometric corrections to obtain the normalized radar cross-section. See Caudal et al, JAOT 2014 for more details.
  • Informations techniques
  • The user is informed that for the data from the 2013 campaign , the normalized radar cross-section (sigma0) can only be used in a relative sense (profiles versus incidence and azimuth analysed 30-s file by 30-s file). In many cases, a comparison from file to file is NOT possible because of an incorrect numerical random process in the transmitted pulse power when the radar mode is changed. Furthermore, a problem was detected in the rotary joint during the campaign so that it may also affect the variation of sigma0 with azimuth for some flights.
    Furthermore, the user is informed that the antenna performances for this campaign were not optimal, due to the presence of a glass window in transmission and reception and of a metallic collar around the glass window . The consequences are:
    - antenna pointing at 14°from nadir: a rear lobe probably impacts the Doppler measurement.
    - antenna point at 40°: important antenna pattern deformation and uncertainty on sigma0 values.

    The KuROS data can be downloaded with 3 possible choices:
    1) original 30-s file by 30-s file (the filename gives the mode of radar acquisition, the date and the starting time of acquisition)
    2) a compressed file (.zip) containing several 30-s files as selected by the user
    3) one or several concatenated files, which group the files with data of a same type (same flight, same antenna, same flight level, same polarisation).
  • Version
  • 1.0
  • Format
  • application/x-netcdf

Comment citer :

(APA style)
Hauser, D., Dufour, C., Valentin, R., Le Gac, C., & Pauwels, N. (2017). Level 1 Products from the 2013 campaign of the airborne Ku-Band KuROS radar [Data set]. LATMOS. https://doi.org/10.21413/Kuros-2013.L1.v1

(BibTex style)
@misc{https://doi.org/10.21413/Kuros-2013.L1.v1,
  doi = {10.21413/Kuros-2013.L1.v1},
  url = {https://doi.org/10.21413/Kuros-2013.L1.v1},
  author = {Danièle, Hauser and Christophe, Dufour and René, Valentin and Christophe, Le Gac and Nicolas, Pauwels},
  publisher = {LATMOS},
  title = {Level 1 Products from the 2013 campaign of the airborne Ku-Band KuROS radar},
  year = {2017}
}