Full Spectrum Inversion of radio occultation signals

By Arne S. Jensen, M. Lohmann, Hans-Henrik Benzon, A. S. Nielsen. 2003

275 citations recorded by the source corpus.

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Citations in the corpus

The COSMIC/FORMOSAT-3 Mission: Early Results (2008, methodology): “In the process of the inversion, the cutoff altitude for each retrieved profile is determined based on the amplitude of the signal transformed to impact parameter representation by the full spectrum inversion (FSI; Jensen et al. 2003) used by CDAAC.”
Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT‐3 mission (2007, methodology): “The GPS RO amplitude, along with the phase, is used for radio-holographic (RH) retrievals of bending angles in the troposphere [Jensen et al., 2003; Gorbunov et al., 2004], but accurate calibration of the amplitude is not required.”
GPS radio occultation with GRACE: Atmospheric profiling utilizing the zero difference technique (2004, methodology): “method [Jensen et al., 2003] and (above 20 km altitude) using the geometric optics method.”
GPS radio occultation for climate monitoring and change detection (2011, methodology): “Here, wave optics methods are required for the retrieval of bending angle profiles [e.g., Gorbunov, 2002; Gorbunov and Lauritsen, 2004; Jensen et al., 2003, 2004; Sokolovskiy et al., 2007].”
Exploring earth's atmosphere with radio occultation: contributions to weather, climate and space weather (2011, unknown): “A signiﬁcant improvement in the wave optics inversion methods was achieved with the application of suitable integral transforms to the whole complex (phase and amplitude) RO signals (Gorbunov, 2002; Jensen et al., 2003, 2004; Gorbunov and Lauritsen, 2004).”
Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles (2012, methodology): “5 With advances in GPS retrieval techniques [Gorbunov , 2002; Jensen et al., 2003] and instrumentation [Sokolovskiy , 2001; Sokolovskiy et al., 2006b; Ao et al., 2009], a number of studies exploring the possibility of detecting PBL tops from GPS data have appeared [von Engeln et al., 2005;…”
Inversion and error estimation of GPS radio occultation Data (2004, methodology): “CDAAC processing software includes four radioholographic algorithms: the back propagation (BP) method (Gorbunov and Gurvich 2000), the sliding spectral (SS) method (Sokolovskiy 2001a), the canonical transform (CT) method (Gorbunov 2002a), and the full spectrum inversion (FSI) method ( Jensen et al. ”