Retrieval of nitric oxide in the mesosphere from SCIAMACHY nominal limb spectra
Stefan Bender, Miriam Sinnhuber, Martin Langowski, and John P. Burrows

TL;DR
This paper develops a retrieval algorithm to measure nitric oxide densities in the mesosphere using SCIAMACHY limb spectra, providing a decade-long dataset crucial for atmospheric chemistry modeling.
Contribution
The paper introduces a novel retrieval method for NO in the mesosphere from SCIAMACHY data, incorporating a priori models to extend measurements up to 85 km altitude.
Findings
Successfully retrieved NO densities between 60-85 km altitude.
Provided nearly 10 years of daily NO measurements from 2002 to 2012.
Enhanced understanding of NO distribution for climate model validation.
Abstract
We present a retrieval algorithm for nitric oxide (NO) number densities from measurements from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY, on Envisat) nominal limb mode (0--91 km). The NO number densities are derived from atmospheric emissions in the gamma bands in the range 230--300 nm, measured by the SCIAMACHY ultra-violet (UV) channel 1. The retrieval is adapted from the mesosphere and lower thermosphere mode (MLT, 50--150 km) NO retrieval (Bender et al., 2013, arXiv:1808.02388), including the same 3-D ray tracing, 2-D retrieval grid, and regularisations with respect to altitude and latitude. Since the nominal mode limb scans extend only to about 91 km, we use NO densities in the lower thermosphere (above 92 km), derived from empirical models, as a priori input. The priors are the Nitric Oxide Empirical Model (NOEM; Marsh et al., 2004) and…
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