# [A001] Average Path Profile of Atmospheric Temperature and Humidity Structure Parameters from a Microwave Profiling Radiometer

## Abstract

The values of the key atmospheric turbulence parameters (structure constants) for temperature and water vapor, i.e., C_{T}^{2}, and C_{Q}^{2}, are highly dependent upon the vertical height within the atmosphere thus making it necessary to specify profiles of these values along the atmospheric propagation path. The remote sensing method suggested and described in this work makes use of a rapidly integrating microwave profiling radiometer to capture profiles of temperature and humidity through the atmosphere. The integration times of currently available profiling radiometers are such that they are approaching the temporal intervals over which one can possibly make meaningful assessments of these key atmospheric parameters. These integration times, coupled with the boundary effects of the Earth’s surface are, however, unconventional for turbulence characterization; the classical Kolmogorov turbulence theory and related 2/3 law for structure functions prevalent in the inertial sub-range are no longer appropriate. An alternative to this classical approach is derived from first principles to account for the nuances of turbulent mechanics met with using radiometer sensing, i.e., the large-scale turbulence driven by the various possible boundary conditions within the buoyancy sub-range. Analytical expressions connecting the measured structure functions to the corresponding structure parameters are obtained. The theory is then applied to an experimental scenario involving radiometric profile measurements of temperature and shows very good results.

## Keywords

## Cite this article as

*In Proceedings of the 1st Int. Electron. Conf. Atmos. Sci.*, 16–31 July 2016; Sciforum Electronic Conference Series, Vol. 1, 2016 , A001; doi:10.3390/ecas2016-A001

## Copyright & Licensing

Copyright by the author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).

The heat-loss anemometers have been used to study the turbulence previously, but in this work the radiometer is used. What are the advantages of radiometer over the heat-loss anemometer?

In your opinion, can the study of spectrum of the signal itself give us more information about the turbulence nature? Furthermore, may the instrumental preprocessing of the signal be beneficial?

The problem studied in the paper has been previously considered by the noted scientist A.M. Obukhov. But some of his approaches have been criticized by G. Batchelor. In your opinion, what is the main difficulty of this subject, which Obukhov had not been able to overcome? And how did you solve it?