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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 301-309

Retrieval of atmospheric boundary layer parameters in a tropical cyclone from the data of falling GPS sondes

O.S. Ermakova 1, 2 , D.A. Sergeev 1, 2 , G.N. Balandina 1 , N.S. Rusakov 1, 2 , E.I. Poplavsky 1, 2 , Yu.I. Troitskaya 1 
1 Institute of Applied Physics RAS, Nizhny Novgorod, Russia
2 Lobachevsky State University of Nizhni Novgorod, Nizhni Novgorod, Russia
Accepted: 08.08.2019
DOI: 10.21046/2070-7401-2019-16-5-301-309
The work is devoted to determine parameters of the atmospheric boundary layer in hurricanes based on the results of field measurements of wind velocity profiles obtained from the falling GPS sondes of the National Oceanic and Atmospheric Administration (NOAA). The field measurements made by falling GPS sondes for hurricanes recorded in the Atlantic Basin from 2003–2017 were analyzed. In the course of the research, a statistical ensemble was selected, which was used to average the data from the falling GPS sondes. As a result, taking into account the assumption of a radial symmetry of a hurricane, average wind velocity profiles were obtained. At the same time, the parameters of the wind boundary layer (roughness parameter and dynamic velocity) were retrieved using the self-similarity property of the velocity defect in the boundary layer, which includes a layer of constant flows passing into its “wake” part. This approach makes possible to restore the parameters of the layer of constant fluxes from measurements in the “wake” part. The main advantage of the proposed approach is due to the fact that it allows using wind velocity profile measurement data obtained at a great distance from the ocean surface, where the amount of data measured with falling GPS sondes is much larger than near the surface, thus there is less measurement error and the statistics is improved.
Keywords: boundary layers of the atmosphere and ocean, wind speed, turbulent wind stress, GPS sondes, microwave remote sensing, storm, hurricane
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