Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-683-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-683-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON
Susan Kulawik
CORRESPONDING AUTHOR
Bay Area Environm. Res. Inst., Sonoma, CA 95476, USA
Debra Wunch
California Institute of Technology, Pasadena, CA, USA
Christopher O'Dell
Colorado State University, Fort Collins, CO, USA
Christian Frankenberg
California Institute of Technology, Pasadena, CA, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
Maximilian Reuter
University of Bremen, Institute of Environmental Physics, Bremen,
Germany
Tomohiro Oda
Goddard Earth Sciences Technology and Research, Universities Space
Research Association, Columbia, MD, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Frederic Chevallier
Laboratoire de Meteorologie Dynamique, Palaiseau, France
Vanessa Sherlock
The National Institute of Water and Atmospheric Research, Wellington and
Lauder, New Zealand
Laboratoire de Meteorologie Dynamique, Palaiseau, France
Michael Buchwitz
University of Bremen, Institute of Environmental Physics, Bremen,
Germany
Greg Osterman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
Paul O. Wennberg
California Institute of Technology, Pasadena, CA, USA
David Griffith
University of Wollongong, Wollongong, New South Wales, Australia
Isamu Morino
Center for Global Environmental Research, National Institute for
Environmental Studies (NIES), Tsukuba, Ibaraki, Japan
Manvendra K. Dubey
Earth and Environmental Science, Los Alamos National Laboratory, Los
Alamos, NM 87545, USA
Nicholas M. Deutscher
University of Bremen, Institute of Environmental Physics, Bremen,
Germany
University of Wollongong, Wollongong, New South Wales, Australia
Justus Notholt
University of Bremen, Institute of Environmental Physics, Bremen,
Germany
Frank Hase
Karlsruhe Institute of Technology, Institute for Meteorology and
Climate Research (IMK-ASF), Karlsruhe, Germany
Thorsten Warneke
University of Bremen, Institute of Environmental Physics, Bremen,
Germany
Ralf Sussmann
Karlsruhe Institute of Technology, Institute for Meteorology and
Climate Research (IMK-ASF), Karlsruhe, Germany
John Robinson
The National Institute of Water and Atmospheric Research, Wellington and
Lauder, New Zealand
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Matthias Schneider
Earth and Environmental Science, Los Alamos National Laboratory, Los
Alamos, NM 87545, USA
Martine De Mazière
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Kei Shiomi
Earth Observation Research Center, Japan Aerospace Exploration Agency,
Tsukuba, Ibaraki, Japan
Dietrich G. Feist
Max Planck Institute for Biogeochemistry, Jena, Germany
Laura T. Iraci
NASA Ames Research Center, Atmospheric Science Branch, Moffett Field,
CA, USA
Joyce Wolf
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
retired
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- Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China F. Mustafa et al. 10.3390/rs13050899
- Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. 10.5194/acp-23-5355-2023
- Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON J. Hedelius et al. 10.5194/amt-12-5547-2019
- Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
- Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019 M. Zhang & G. Liu 10.1016/j.scitotenv.2022.159588
- Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface J. Tian et al. 10.1080/17538947.2021.1937352
- On the performance of satellite-based observations of <i>X</i>CO<sub>2</sub> in capturing the NOAA Carbon Tracker model and ground-based flask observations over Africa's land mass A. Mengistu & G. Mengistu Tsidu 10.5194/amt-13-4009-2020
- Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data Q. Wang et al. 10.5194/amt-14-6601-2021
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
- The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2 F. Kataoka et al. 10.3390/rs9111158
- Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals P. Patil et al. 10.1137/20M1356403
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
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- Assessing accuracy and precision for space‐based measurements of carbon dioxide: An associated statistical methodology revisited Z. Su et al. 10.1002/2016EA000228
- Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
- Validation of TANSO-FTS/GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
- Specific patterns of XCO2 observed by GOSAT during 2009–2016 and assessed with model simulations over China N. Bie et al. 10.1007/s11430-018-9377-7
- Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
- A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. 10.3390/rs9030251
- Potential improvement of XCO 2 retrieval of the OCO-2 by having aerosol information from the A-train satellites J. Hong et al. 10.1080/15481603.2023.2209968
- The recent increase of atmospheric methane from 10 years of ground-based NDACC FTIR observations since 2005 W. Bader et al. 10.5194/acp-17-2255-2017
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- Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
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Saved (preprint)
Latest update: 13 Dec 2024
Short summary
To accurately estimate source and sink locations of carbon dioxide, systematic errors in satellite measurements and models must be characterized. This paper examines two satellite data sets (GOSAT, launched 2009, and SCIAMACHY, launched 2002), and two models (CarbonTracker and MACC) vs. the TCCON CO2 validation data set. We assess biases and errors by season and latitude, satellite performance under averaging, and diurnal variability. Our findings are useful for assimilation of satellite data.
To accurately estimate source and sink locations of carbon dioxide, systematic errors in...