Mesopause Temperature Retrieval from SATI Measured Spectra with a Linear Background Component. Results from the Numerical Simulation

TL;DR

This paper introduces a new method for retrieving mesopause temperatures from SATI spectra using a linear background component, demonstrating improved stability through numerical simulations.

Contribution

It generalizes the temperature retrieval regression to include a linear background, enhancing stability over traditional methods.

Findings

Linear background improves retrieval stability

Numerical simulations confirm method robustness

Enhanced temperature estimation accuracy

Abstract

The Spectral Airglow Temperature Imager is a ground-based spectral instrument for spatial registration of airglow emissions. The basic aim of the instrument development is the investigation of gravity waves based on the spatial characteristics of the temperature field at the altitude of mesopause and its evolution in the time. The temperature retrieval is based on matching measured and preliminary calculated synthetic spectra. Possibilities are presented for generalization of the basic regression equation which connects the measured and the synthetic spectra. A linear change of the background for the entire filter transmittance interval was presumed. Numerical experiments by Monte-Karlo simulation were conducted. The presented results show a bigger stability of the proposed approach in comparison with the traditional one, without considering the linear background.