Numerical study of a sensitivity operator-based emission sources identification algorithm with nonlinear measurement operator

A. V. Penenko; E. V. Rusin

doi:10.1117/12.2690857

17 October 2023 Numerical study of a sensitivity operator-based emission sources identification algorithm with nonlinear measurement operator

A. V. Penenko, E. V. Rusin

Author Affiliations +

Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 127806A (2023) https://doi.org/10.1117/12.2690857
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

When solving inverse modeling problems (including emission sources identification problems), measurement operators link variables of the mathematical model of the considered processes with the measured values. Along with linear measurement operators (e.g. in situ point measurements of concentrations, integral measurements in time, total column measurements, etc.), nonlinear measurement operators are also used in air quality assessment and forecasting problems. In particular, such operators arise in remote sensing data processing. The objective of the work is to demonstrate the extension of the approach based on sensitivity operators and adjoint ensembles to the inverse problems with nonlinear measurement operators.

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A. V. Penenko and E. V. Rusin "Numerical study of a sensitivity operator-based emission sources identification algorithm with nonlinear measurement operator", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 127806A (17 October 2023); https://doi.org/10.1117/12.2690857

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