Abstract
Acoustic travel-time tomography is a remote technique that can be used for reconstruction of temperature and wind velocity fields in the atmosphere. In the literature, results of two-dimensional tomography of the atmosphere have been reported so far. This paper presents an algorithm for reconstruction of temperature and wind velocity fields in three-dimensional tomography. In the algorithm, stratification of the atmosphere is taken into account explicitly. This allows high accurate reconstruction of stratified mean temperature and wind velocity fields. The fields of fluctuations are reconstructed with the use of three-dimensional time-dependent stochastic inversion. Estimation of the errors of reconstruction is also presented. A numerical experiment with large-eddy simulation is used to confirm the efficiency of the developed theory.
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