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Tatsiana Lapyonok

Researcher at Lille University of Science and Technology

Publications -  8
Citations -  261

Tatsiana Lapyonok is an academic researcher from Lille University of Science and Technology. The author has contributed to research in topics: Radiometer & AERONET. The author has an hindex of 6, co-authored 7 publications receiving 230 citations.

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Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar/radiometer data: development and distribution in EARLINET

TL;DR: In this article, a detailed description of LIRIC (LIdar-Radiometer Inversion Code) algorithm for simultaneous processing of coincident lidar and radiometric (sun photometric) observations for the retrieval of the aerosol concentration vertical profiles is presented.

Sensitivity of aerosol retrieval to geometrical configuration of ground-based sun/sky radiometer observations [Discussion paper]

TL;DR: In this article, a sensitivity study of aerosol retrieval to the geometrical configuration of the ground-based sky radiometer observations is carried out through inversion tests, and the results show that almucantar retrievals, in general, are more reliable than principal plane retrieevals in presence of the analyzed error sources.

Algorithm and software for the retrieval of vertical aerosol properties using combined lidar/radiometer data: dissemination in EARLINET

TL;DR: In this paper, the authors present a program package and preliminary results of testing measurements at some stations in the European Aerosol Research Lidar Network (EARLINET) for retrieving aerosol microstructure parameters from coordinated lidar and sun-radiometer data.
Journal ArticleDOI

Sensitivity of aerosol retrieval to geometrical configuration of ground-based sun/sky radiometer observations

TL;DR: In this article, a sensitivity study of aerosol retrieval to the geometrical configuration of the ground-based sky radiometer observations is carried out through inversion tests, and the results show that almucantar retrievals, in general, are more reliable than principal plane retrieevals in presence of the analyzed error sources.