0000000000414169

AUTHOR

Markku Lehtinen

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Markov Chain Monte Carlo Methods for High Dimensional Inversion in Remote Sensing

2004

SummaryWe discuss the inversion of the gas profiles (ozone, NO3, NO2, aerosols and neutral density) in the upper atmosphere from the spectral occultation measurements. The data are produced by the ‘Global ozone monitoring of occultation of stars’ instrument on board the Envisat satellite that was launched in March 2002. The instrument measures the attenuation of light spectra at various horizontal paths from about 100 km down to 10–20 km. The new feature is that these data allow the inversion of the gas concentration height profiles. A short introduction is given to the present operational data management procedure with examples of the first real data inversion. Several solution options for…

Statistics and Probability010504 meteorology & atmospheric sciencesAttenuationInversion (meteorology)Markov chain Monte CarloDensity estimationInverse problem01 natural sciencesOccultation010104 statistics & probabilitysymbols.namesakeMetropolis–Hastings algorithmStatisticsPrior probabilitysymbols0101 mathematicsStatistics Probability and UncertaintyAlgorithm0105 earth and related environmental sciencesMathematicsJournal of the Royal Statistical Society Series B: Statistical Methodology
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