Basic Principles of Surface-Based Remote Sensing - Surface Based Remote Sensing of the Atmospheric Boundary Layer - page 67

time of the sound pulses, the areal distribution of acoustic air temperature can be
obtained. If the sound pulses are sent back and forth on all paths, the two wind
components in the plane enclosed by the instruments can also be obtained. In this,
tomography can be operated in analogue to a sonic anemometer. A recent review of
acoustic tomography has been written by Ostashev et al. ( 2009 ).
Generally, stationary conditions are required until all measurements entering
one inversion are taken. Optical tomography is obstructed by fog and strong
precipitation, acoustic tomography by strong ambient noise and by heavy precip-
itation. Orographic features and buildings may prevent a sufficient coverage of the
measurement area. Several evaluation techniques for tomographic measurements
are available: the Simultaneous Iterative Reconstruction Technique (SIRT) algo-
rithm (Humphreys and Clayton 1988 ; Trampert and Leveque 1990 ; Tetzlaff et al.
2002 ), Algebraic Reconstruction Technique (ART) (Todd and Leith 1990 ; Todd
and Ramachandran 1994 ), and the Smooth Basis Function Minimization (SBFM)
(Drescher et al. 1996 ). Recently, the time-dependent stochastic inversion (TDSI)
technique was developed by Vecherin et al. ( 2006 ).
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