Tropospheric ozone retrieval from thermal infrared nadir satellite measurements: Towards more adaptability of the constraint using a self-adapting regularization

Year: 2019

Authors: Eremenko M., Sgheri L., Ridolfi M., Cuesta J., Costantino L., Sellitto P., Dufour G.

Autors Affiliation: Laboratoire Inter-universitaire des Systémes Atmosphériques (LISA), UMR7583, CNRS, Universit éParis-Est Créteil, Universitéde Paris, Institut Pierre Simon Laplace, Créteil, France; Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche, Firenze, Italy; Dipartimento di Fisica e Astronomia, Universitádi Bologna, Italy; Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche, Firenze, Italy

Abstract: We developed a Self-Adapting Constraint Retrieval Scheme (SACRS) to retrieve ozone profiles from nadir infrared satellite measurements. In this algorithm, the constraint is variable in altitude and adapted automatically for each individual measurement. The algorithm is tested on synthetic observations representing the future IASI-NG satellite observations and considering either ozonesonde measurements or chemistry-transport model ozone simulations to represent the true ozone (pseudo-reality). The ozone retrievals are evaluated mainly for the troposphere with a specific focus on the lower troposphere between the surface and 6 km. Compared to a previous algorithm based on a fixed constraint retrieval scheme (FCRS), the biases, correlation and error estimates are improved with the SACRS. The bias is reduced by 40% and the correlation coefficient increases from 0.72 to 0.80. The SACRS algorithm also leads to an enhanced sensitivity in the lower troposphere with degrees of freedom for signal up to 0.83, increased by 11% compared to the FCRS. The SACRS performs especially well where current algorithms usually fail, namely for polar and tropical air masses. The bias is reduced from 8.6% to 0.5% in the troposphere (surface-9 km) when considering polar cases and from 24.4% to 10.1% in the upper troposphere – lower troposphere column (12-18 km) in the tropics. (C) 2019 Elsevier Ltd. All rights reserved.

Journal/Review: JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER

Volume: 238      Pages from: 106577-1  to: 106577-13

More Information: This study was supported by the French Space Agency CNES (project IASI-NG-TOSCA). Financial support of the GDRI (Groupement de Recherche International) HiResMir of the CNRS is gratefully acknowledged. The HiResMir GDRI is for High resolution microwave, infrared and Raman molecular spectroscopy for atmospheric, planetological and astrophysical applications. We thank also Agnes Perrin(agnes.perrin@lmd.polytechnique.fr) for valuable scientific discussions during the course of this work. The ozonesonde data used in this study were provided by the World Ozone and Ultraviolet Data Centre (WOUDC), the Southern Hemisphere Additional Ozonesondes (SHADOZ), and the Global Monitoring Division (GMD) of NOAA’s Earth System Research Laboratory and are publicly available (see http://www.woudc.org, http://croc.gsfc.nasa.gov/shadoz, http://www.esrl.noaa.gov/gmd).The authors thank all those responsible for the WOUDC, SHADOZ, and GMD measurements and archives for making the ozonesonde data available.
KeyWords: Atmospheric composition; Degrees of freedom (mechanics); Inverse problems; Meteorological instruments; Ozone; Remote sensing; Satellites; Tropics; Troposphere, Air pollution monitoring; Chemistry transport model; Correlation coefficient; Enhanced sensitivity; Ozonesonde measurements; Passive remote sensing; Satellite measurements; Satellite observations, Air pollution, algorithm; atmospheric pollution; inverse problem; nadir; ozone; pollution monitoring; remote sensing; troposphere
DOI: 10.1016/j.jqsrt.2019.106577

Citations: 4
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