An improved C-band scatterometer ocean geophysical model function: CMOD5

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Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model (2011, methodology): “[3] In recent years, several empirical geophysical model functions (GMF), such as CMOD4 [Stoffelen and Anderson, 1997],CMOD_IFR2[Quilfenetal.,1998],CMOD5[ Hersbach et al., 2007 ] and CMOD5.N [Hersbach, 2008, 2010] have been employed, which relate the normalized radar cross section (NRCS) of the ocea”
On the quality of high‐resolution scatterometer winds (2011, methodology): “A Geophysical Model Function (GMF) provides the radar cross section as a function of the equivalent neutral wind vector at 10 m anemometer height, incidence angle, relative azimuth angle, radar frequency, and polarization [Wentz and Smith, 1999; Hersbach et al., 2007].”
An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations (2009, methodology): “2011617 routine application, and the derived information is used operationally for various purposes such as numerical weather prediction [3].”
Global C-Band Envisat, RADARSAT-2 and Sentinel-1 SAR measurements in copolarization and cross-polarization (2015, background): “To date C-band VV, through CMOD-suite [Stoffelen and Anderson, 1997; Quilfen et al., 1998; Hersbach et al., 2007], dominates the literature, especially to describe first-order NRCS sensitivity with respect to wind speed and direction [Quilfen et al., 1999], for operational wind retrieval with…”