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ISSN 2415-3400 (Online)
ISSN 1028-821X (Print)


Linkova, АМ

O.Ya. Usikov Institute for Radiophysics and Electronics of the NASU
12, Acad. Proskura St., Kharkov, 61085, Ukraine
E-mail: gannalinkova@gmail.com

Language: ukranian

Subject and Purpose. Precipitation is the main source of agricultural land moisture. The knowledge of its amount, especially during the growing season, is important information to justify necessary agronomic and land reclamation measures. The purpose of this work is to solve by regularization the inverse problem of double-frequency sensing of precipitation in the microwave range with the signal attenuation considered and analyze the influence of radar cross-section (RCS) calculation errors and the total signal attenuation measuring precision on the rain intensity retrieval results.

Methods and Methodology. Numerical simulation is used in double frequency retrievals to solve the integral scattering equation by regularization methods.

Results. Numerical simulation has been performed for the rain intensity retrieval with a uniform spatial profile of rain intensity in the range 1…20 mm/h. Direct and inverse iterative procedures were used for having the signal attenuation at 0.82 and 3.2 cm operating wavelengths. It has been shown that the direct iterative procedure is less effective than the inverse one. Thus, when the rain intensity exceeds 20 mm/h or when it is within 10…20 mm/h and a rain spatial extent goes over 500 m, the direct iteration scheme causes significant errors in the rain intensity retrieval.

Conclusion. The analysis of the results has shown that the use of the inverse iterative procedure makes it possible to retrieve a uniform-profile rain intensity with a 25 % error for rains with a 20 mm/h intensity and a 4 km spatial extent and ± 20 % errors in the total signal attenuation and specific RCS calculated.

Keywords: inverse problem, rain intensity, signal attenuation

Manuscript submitted 22.03.2021
Radiofiz. elektron. 2021, 26(3): 3-10
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