ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 78-86

Correction of cloud water estimates from satellite monitoring data

V.P. Savorskiy 1 
1 Kotelnikov Institute of Radioengineering and Electronics RAS, Fryazino Branch, Fryazino, Moscow Region, Russia
Accepted: 14.03.2022
DOI: 10.21046/2070-7401-2022-19-1-78-86
One of the most significant systematic errors in determining the parameters of the cloud layer is associated with the inhomogeneity of the cloud layer in the field of view of microwave sensors. The resulting discrepancies in the estimates of the optical path of radiation in clouds, the so-called CLWP, require correction, since these discrepancies can reach two times, for example, in areas of the atmosphere with shallow cumulus convection. This determines the significance and relevance of correcting the CLWP values, since these values determine the water content of clouds and, as a result, probabilistic estimates of the predicted volumes and intensities of rainfall from them. The paper proposes and implements a method for correcting cloud water content estimates based on microwave monitoring data using cloud mask data obtained from the results of synchronous observations of the cloud layer from geostationary platforms in the visible and IR ranges. A general methodological approach has been developed, and the capabilities of modern observation tools are discussed, emphasizing their high temporal resolution contributing to timely detection and monitoring of rapidly developing dangerous atmospheric phenomena such as mesoscale convective complexes (MCCs). Asymptotic solutions are obtained for small values of CLWP in the lower layers of the atmosphere (under clouds) and for the limiting, under terrestrial conditions, values of the reflection of microwave radiation from the Earth’s surface.
Keywords: microwave radiometer, brightness temperature, water content of clouds, relative area of clouds
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