Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements

In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (<i>X</i><sub>CO<sub>2</sub></sub>) from the Orbiting Carbon Observatory-2 (OCO-2) satellite observations using the RemoTeC algorithm, previously successfully...

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Main Authors: L. Wu, O. Hasekamp, H. Hu, J. Landgraf, A. Butz, J. aan de Brugh, I. Aben, D. F. Pollard, D. W. T. Griffith, D. G. Feist, D. Koshelev, F. Hase, G. C. Toon, H. Ohyama, I. Morino, J. Notholt, K. Shiomi, L. Iraci, M. Schneider, M. de Mazière, R. Sussmann, R. Kivi, T. Warneke, T.-Y. Goo, Y. Té
Format: Article
Language:English
Published: Copernicus Publications 2018-05-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/11/3111/2018/amt-11-3111-2018.pdf
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spelling doaj-2d57eacee61d4884bb656605ae9647972020-11-24T21:00:25ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-05-01113111313010.5194/amt-11-3111-2018Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurementsL. Wu0O. Hasekamp1H. Hu2J. Landgraf3A. Butz4A. Butz5J. aan de Brugh6I. Aben7D. F. Pollard8D. W. T. Griffith9D. G. Feist10D. Koshelev11F. Hase12G. C. Toon13H. Ohyama14I. Morino15J. Notholt16K. Shiomi17L. Iraci18M. Schneider19M. de Mazière20R. Sussmann21R. Kivi22T. Warneke23T.-Y. Goo24Y. Té25SRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsInstitute of Atmospheric Physics, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), Wessling-Oberpfaffenhofen, GermanyMeteorologisches Institut, Ludwig-Maximilians-Universität (LMU), Munich, GermanySRON Netherlands Institute for Space Research, Utrecht, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the NetherlandsNational Institute of Water and Atmospheric Research (NIWA), Lauder, New ZealandUniversity of Wollongong, Wollongong, AustraliaMax Planck Institute for Biogeochemistry, Jena, GermanyLERMA-IPSL, Sorbonne Universités, UPMC Univ Paris 06, CNRS, Observatoire de Paris, PSL Research University, 75005, Paris, FranceKarlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, GermanyJet Propulsion Laboratory, California Institute of Technology, Pasadena, USANational Institute for Environmental Studies (NIES), Tsukuba, JapanNational Institute for Environmental Studies (NIES), Tsukuba, JapanUniversity of Bremen, Bremen, GermanyJapan Aerospace Exploration Agency, Tsukuba, JapanNASA Ames Research Center, Moffett Field, USAKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Garmisch Partenkirchen, GermanyRoyal Belgian Institute for Space Aeronomy, Brussels, BelgiumKarlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU), Garmisch Partenkirchen, GermanyFinnish Meteorological Institute, Sodankylä, FinlandUniversity of Bremen, Bremen, GermanyNational Institute of Meteorological Research, Seoul, Republic of KoreaLERMA-IPSL, Sorbonne Universités, UPMC Univ Paris 06, CNRS, Observatoire de Paris, PSL Research University, 75005, Paris, FranceIn this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (<i>X</i><sub>CO<sub>2</sub></sub>) from the Orbiting Carbon Observatory-2 (OCO-2) satellite observations using the RemoTeC algorithm, previously successfully applied to retrieval of greenhouse gas concentration from the Greenhouse Gases Observing Satellite (GOSAT). The <i>X</i><sub>CO<sub>2</sub></sub> product has been validated with collocated ground-based measurements from the Total Carbon Column Observing Network (TCCON) for almost 2 years of OCO-2 data from September 2014 to July 2016. We found that fitting an additive radiometric offset in all three spectral bands of OCO-2 significantly improved the retrieval. Based on a small correlation of the <i>X</i><sub>CO<sub>2</sub></sub> error over land with goodness of fit, we applied an a posteriori bias correction to our OCO-2 retrievals. In overpass averaged results, <i>X</i><sub>CO<sub>2</sub></sub> retrievals have an SD of  ∼ 1.30 ppm and a station-to-station variability of  ∼ 0.40 ppm among collocated TCCON sites. The seasonal relative accuracy (SRA) has a value of 0.52 ppm. The validation shows relatively larger difference with TCCON over high-latitude areas and some specific regions like Japan.https://www.atmos-meas-tech.net/11/3111/2018/amt-11-3111-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author L. Wu
O. Hasekamp
H. Hu
J. Landgraf
A. Butz
A. Butz
J. aan de Brugh
I. Aben
D. F. Pollard
D. W. T. Griffith
D. G. Feist
D. Koshelev
F. Hase
G. C. Toon
H. Ohyama
I. Morino
J. Notholt
K. Shiomi
L. Iraci
M. Schneider
M. de Mazière
R. Sussmann
R. Kivi
T. Warneke
T.-Y. Goo
Y. Té
spellingShingle L. Wu
O. Hasekamp
H. Hu
J. Landgraf
A. Butz
A. Butz
J. aan de Brugh
I. Aben
D. F. Pollard
D. W. T. Griffith
D. G. Feist
D. Koshelev
F. Hase
G. C. Toon
H. Ohyama
I. Morino
J. Notholt
K. Shiomi
L. Iraci
M. Schneider
M. de Mazière
R. Sussmann
R. Kivi
T. Warneke
T.-Y. Goo
Y. Té
Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
Atmospheric Measurement Techniques
author_facet L. Wu
O. Hasekamp
H. Hu
J. Landgraf
A. Butz
A. Butz
J. aan de Brugh
I. Aben
D. F. Pollard
D. W. T. Griffith
D. G. Feist
D. Koshelev
F. Hase
G. C. Toon
H. Ohyama
I. Morino
J. Notholt
K. Shiomi
L. Iraci
M. Schneider
M. de Mazière
R. Sussmann
R. Kivi
T. Warneke
T.-Y. Goo
Y. Té
author_sort L. Wu
title Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
title_short Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
title_full Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
title_fullStr Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
title_full_unstemmed Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements
title_sort carbon dioxide retrieval from oco-2 satellite observations using the remotec algorithm and validation with tccon measurements
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2018-05-01
description In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (<i>X</i><sub>CO<sub>2</sub></sub>) from the Orbiting Carbon Observatory-2 (OCO-2) satellite observations using the RemoTeC algorithm, previously successfully applied to retrieval of greenhouse gas concentration from the Greenhouse Gases Observing Satellite (GOSAT). The <i>X</i><sub>CO<sub>2</sub></sub> product has been validated with collocated ground-based measurements from the Total Carbon Column Observing Network (TCCON) for almost 2 years of OCO-2 data from September 2014 to July 2016. We found that fitting an additive radiometric offset in all three spectral bands of OCO-2 significantly improved the retrieval. Based on a small correlation of the <i>X</i><sub>CO<sub>2</sub></sub> error over land with goodness of fit, we applied an a posteriori bias correction to our OCO-2 retrievals. In overpass averaged results, <i>X</i><sub>CO<sub>2</sub></sub> retrievals have an SD of  ∼ 1.30 ppm and a station-to-station variability of  ∼ 0.40 ppm among collocated TCCON sites. The seasonal relative accuracy (SRA) has a value of 0.52 ppm. The validation shows relatively larger difference with TCCON over high-latitude areas and some specific regions like Japan.
url https://www.atmos-meas-tech.net/11/3111/2018/amt-11-3111-2018.pdf
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