Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4689-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-4689-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jun 2021
Research article |
| 24 Jun 2021
| 24 Jun 2021
The Adaptable 4A Inversion (5AI): description and first XCO2 retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations
Matthieu Dogniaux
CORRESPONDING AUTHOR
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Cyril Crevoisier
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Raymond Armante
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Virginie Capelle
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Thibault Delahaye
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Vincent Cassé
Laboratoire de Météorologie Dynamique/IPSL, CNRS, École polytechnique, Institut Polytechnique de Paris, Sorbonne Université, École Normale Supérieure, PSL Research University, 91120 Palaiseau, France
Martine De Mazière
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
University of Bremen, Bremen, Germany
Dietrich G. Feist
Max Planck Institute for Biogeochemistry, Jena, Germany
Lehrstuhl für Physik der Atmosphäre, Ludwig-Maximilians-Universität München, Munich, Germany
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Omaira E. Garcia
Izaña Atmospheric Research Center (IARC), State Meteorological Agency of Spain (AEMET), Tenerife, Spain
David W. T. Griffith
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Frank Hase
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Laura T. Iraci
NASA Ames Research Center, Moffett Field, CA, USA
Rigel Kivi
Finnish Meteorological Institute, Sodankylä, Finland
Isamu Morino
National Institute for Environmental Studies (NIES), Tsukuba, Japan
Justus Notholt
University of Bremen, Bremen, Germany
David F. Pollard
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Coleen M. Roehl
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Kei Shiomi
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Canada
Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA-IPSL), Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
Voltaire A. Velazco
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
Thorsten Warneke
University of Bremen, Bremen, Germany
Data sets
AERONET Version 3: AOD Level 2.0 J. Stutz, B. Holben, T. Takemura, R. Kivi, V. Aaltonen, F. Ravetta, and J. Pelon https://aeronet.gsfc.nasa.gov/new_web/download_all_v3_aod.html
Short summary
We present the Adaptable 4A Inversion (5AI), an implementation of the optimal estimation (OE) algorithm, relying on the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer model, that enables the retrieval of greenhouse gas atmospheric weighted columns from infrared measurements. It is tested on a sample of Orbiting Carbon Observatory-2 observations, and its results satisfactorily compare to several reference products, thus showing the reliability of 5AI OE implementation.
We present the Adaptable 4A Inversion (5AI), an implementation of the optimal estimation (OE)...
