Abstract. Present-day satellite
multichannel microwave radiometers-imagers measure two-dimensional fields of
radiothermal atmospheric radiation. Thus the existing horizontal correlations
in remote data, caused by the nature of geophysical atmospheric fields, can be analyzed
and taken into account in models. However, in standard schemes for retrieval of
vertical profiles of atmospheric humidity, remote measurements at each point
are interpreted independently, i.e. a significant part of the received
information is ignored. In this paper, an extension of the classical approach
to radiothermal satellite sounding of vertical atmospheric profiles is proposed
by using additional information in the form of characteristics of advection
(horizontal motion) in the lower troposphere. Owing to the complexity of the
problem, a sufficient goal of assimilating information on troposphere dynamics
is to reduce the a priori uncertainty of the vertical distribution of the
humidity profile in the vicinity of horizons of 800-600 hPa. The proposed
iterative algorithm is aimed at achieving this goal. Practical implementation
of this algorithm requires obtaining robust estimates of the velocities of
atmospheric advection of water vapor (integral over the height of the entire
atmosphere and over the heights of two layers located above and below a certain
horizon). The analysis of the previous research in the field, as well as the
results of the implementation and practical application of algorithms of
satellite radiothermovision, show that the problem is fundamentally feasible. A
large-scale statistical analysis of radiosonde data, including vertical
profiles of wind speed and direction, should become the initial step in its
solution. The generalization of this information in the form of average values,
variances and covariances of the corresponding parameters (by analogy with the
statistical regularization approach) will not only provide an adequate initial
approximation of the desired advection velocities, but will also allow to
formulate quality criteria for rejecting unreliable estimates.
Key words: radiothermal atmospheric
sounding, vertical humidity profile, troposphere dynamics.
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