BibTeX
@ARTICLE{
         Xu2013Ass,
       author = "J. Xu and F. Schreier and P. Vogt and A. Doicu and T. Trautmann",
       title = "A sensitivity study for far infrared balloon-borne limb emission sounding of
         stratospheric trace gases",
       journal = "Geosci. Instrum. Method. Data Syst. Disc.",
       volume = "3",
       pages = "251--303",
       doi = "http://dx.doi.org/10.5194/gid-3-251-2013",
       abstract = "This paper presents a sensitivity study performed for trace gases retrieval from
         syn- thetic observations by TELIS (TErahertz and submillimeter LImb Sounder) which is a
         stratospheric balloon-borne cryogenic heterodyne spectrometer. Issues pertaining to hydroxyl radical
         (OH) retrieval from the far infrared measurements by the 1.8 THz channel are addressed. The study is
         conducted by a retrieval code PILS (Profile In- version for Limb Sounding) developed to solve the
         nonlinear inverse problems arising in the analysis of infrared/microwave limb sounding measurements.
         PILS combines a line-by-line forward model with automatic differentiation for computing Jacobians
         and employs regularized nonlinear least squares inversion. We examine the application of direct and
         iterative regularization methods and evaluate the performance of single- and multi-profile
         retrievals. Sensitivities to expected errors in calibration procedure, instrumental knowledge and
         atmospheric profiles have been analyzed. Nonlinearity ef- fect, inaccurate sideband ratio, and
         pointing error turned out to be the dominant error sources. Furthermore, the capability of
         multi-channel simultaneous retrieval from the far infrared and submillimeter data has been
         investigated. The errors and averaging kernels infer that the quality of the obtained hydrogen
         chloride (HCl) can be improved by significantly better exploitation of information from the
         observations.",
       ad_tools = "TAPENADE",
       ad_area = "Physics, Atmospheric remote sensing",
       year = "2013"
}