Evaluation of Global Ozone Monitoring Experiment (GOME) ozone profiles from nine different algorithms
نویسندگان
چکیده
منابع مشابه
An Eight-year Record of Ozone Profiles and Tropospheric Column Ozone from Global Ozone Monitoring Experiment (gome)
This paper presents an eight-year record (July 1995June 2003) of ozone profiles and tropospheric column ozone (TCO) retrieved from GOME ultraviolet radiance spectra using the optimal estimation technique, including detailed treatments of wavelength and radiometric calibrations and forward radiative transfer modeling. The agreement with Stratospheric Aerosol and Gas Experiment (SAGE) data is usu...
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We investigate the effect of using three different cross section data sets on ozone profile retrievals from Global Ozone Monitoring Experiment (GOME) ultraviolet measurements (289–307 nm, 326–337 nm). These include Bass-Paur, Brion, and GOME flight model cross sections (references below). Using different cross sections can significantly affect the retrievals, by up to 12 Dobson Units (DU, 1 DU=...
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[1] The inverse radiative transfer equation to retrieve atmospheric ozone distribution from the UV-visible satellite spectrometer Global Ozone Monitoring Experiment (GOME) has been modeled by means of a feed forward neural network. This Neural Network Ozone Retrieval System (NNORSY) was trained exclusively on a data set of GOME radiances collocated with ozone measurements from ozonesondes, Halo...
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[1] In this paper we present the validation results of the operational vertical ozone profiles retrieved from the nadir observations by the Ozone Monitoring Instrument (OMI) aboard the NASA Earth Observing System (EOS) Aura platform. The operational ozone profile retrieval algorithm was developed at the Royal Netherlands Meteorological Institute and the OMI mission data has been processed and m...
متن کاملNeural network scheme for the retrieval of total ozone from Global Ozone Monitoring Experiment data.
A novel approach to retrieving total ozone columns from the ERS2 GOME (Global Ozone Monitoring Experiment) spectral data has been developed. With selected GOME wavelength regions, from clear and cloudy pixels alike plus orbital and instrument data as input, a feed-forward neural network was trained to determine total ozone in a one-step inverse retrieval procedure. To achieve this training, gro...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research
سال: 2006
ISSN: 0148-0227
DOI: 10.1029/2005jd006778