Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2020. No. 11

Full text in Russian (pdf)

Russian page


DOI https://doi.org/10.30898/1684-1719.2020.11.6

UDC 528.8; 517


Adaptive algorithm for detection and monitoring of atmospheric rivers


E. V. Savchenko, S. M. Maklakov

Fryazino branch of Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences, Vvedenskogo sq., 1, Fryazino 141190, Moscow region, Russia

The paper is received on November 2, 2020, after correction - on November 24, 2020


Abstract. A new adaptive method for detecting and monitoring atmospheric rivers (ARs) over the ocean surface is proposed. ARs is the filamentous structures in the field of atmospheric water vapor, which provide a rapid transfer of moisture from the tropics to mid and high latitudes. Currently, certain difficulties remain in their detection and monitoring. The method is based on an adaptive algorithm for calculating the Jeffreys - Matusita distance between areas of the ocean with a high integral water vapor content and the places surrounding these areas with its background low values. The efficiency of the developed method is confirmed by the results of analysis of real data on the integral content of water vapor in the North Pacific Ocean. For the purpose of a qualitative comparative analysis, the authors give a brief overview of the methods used for the detection and monitoring of ARs, summarized the work on the study of the influence of ARs on regional weather conditions, singled out and characterized individual stages of these studies, indicated the most promising hardware for AR remote sensing. The results of the work are proposed to be used to improve the accuracy and reliability of automated AR detection by server means of a geoportal of satellite radio-thermal imaging (https://fireras.su/tpw/). The results of the work are of interest for multidisciplinary research, in particular, for predicting medium-term atmospheric processes.

Key words: atmospheric rivers, atmosphere, atmospheric processes, climate, climate study, remote sensing, satellite sensing, geoportal.


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For citation:

Savchenko E.V., Maklakov S.M. Adaptive algorithm for detection and monitoring of atmospheric rivers. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No.11. https://doi.org/10.30898/1684-1719.2020.11.6 (In Russian)