Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5355-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-5355-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2023
Research article |
| 12 May 2023
| 12 May 2023
Characteristics of interannual variability in space-based XCO2 global observations
Yifan Guan
CORRESPONDING AUTHOR
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48105, USA
Gretchen Keppel-Aleks
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI 48105, USA
Scott C. Doney
Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, USA
Christof Petri
Institute of Environmental Physics, Physics Department, University of Bremen, Bremen, 28359, Germany
Dave Pollard
National Institute of Water and Atmospheric Research, Omakau, 9377, New Zealand
Debra Wunch
Department of Physics, University of Toronto, Toronto, M5S 1A7, Canada
Frank Hase
Institute of Meteorology and Climate Research – Atmospheric Trace Gases and Remote Sensing, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, 76344, Germany
Hirofumi Ohyama
National Institute for Environmental Studies, Tsukuba, Ibaraki, 305-0053, Japan
Isamu Morino
National Institute for Environmental Studies, Tsukuba, Ibaraki, 305-0053, Japan
Justus Notholt
Institute of Environmental Physics, Physics Department, University of Bremen, Bremen, 28359, Germany
Kei Shiomi
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, 305-8505, Japan
Kim Strong
Department of Physics, University of Toronto, Toronto, M5S 1A7, Canada
Rigel Kivi
Space and Earth Observation Centre, Finnish Meteorological Institute, Sodankylä, 99600, Finland
Matthias Buschmann
Institute of Environmental Physics, Physics Department, University of Bremen, Bremen, 28359, Germany
Nicholas Deutscher
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, 2522, Australia
Paul Wennberg
Divisions of Engineering and Applied Science and Geological and Planetary Science, California Institute of Technology, Pasadena, CA 91125, USA
Ralf Sussmann
Institute of Meteorology and Climate Research – Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, 82467, Germany
Voltaire A. Velazco
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, 2522, Australia
Deutscher Wetterdienst, Meteorological Observatory, Hohenpeissenberg, 82383, Germany
Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères, French National Centre for Scientific Research, Paris, 75016, France
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Cited
6 citations as recorded by crossref.
- Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. 10.1007/s13351-024-3160-8
- Ocean-driven interannual variability in atmospheric CO2 quantified using OCO-2 observations and atmospheric transport simulations Y. Guan et al. 10.3389/fmars.2024.1272415
- Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. 10.1016/j.jag.2024.103859
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
- Seamless reconstruction and spatiotemporal analysis of satellite-based XCO2 incorporating temporal characteristics: A case study in China during 2015–2020 J. He et al. 10.1016/j.asr.2024.07.007
- Influence of deep stratosphere-to-troposphere transport on atmospheric carbon dioxide and methane at the Mt. Cimone WMO/GAW global station (2165 m a.s.l., Italy): A multi-year (2015–2022) investigation P. Trisolino et al. 10.1016/j.atmosres.2024.107627
6 citations as recorded by crossref.
- Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. 10.1007/s13351-024-3160-8
- Ocean-driven interannual variability in atmospheric CO2 quantified using OCO-2 observations and atmospheric transport simulations Y. Guan et al. 10.3389/fmars.2024.1272415
- Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. 10.1016/j.jag.2024.103859
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
- Seamless reconstruction and spatiotemporal analysis of satellite-based XCO2 incorporating temporal characteristics: A case study in China during 2015–2020 J. He et al. 10.1016/j.asr.2024.07.007
- Influence of deep stratosphere-to-troposphere transport on atmospheric carbon dioxide and methane at the Mt. Cimone WMO/GAW global station (2165 m a.s.l., Italy): A multi-year (2015–2022) investigation P. Trisolino et al. 10.1016/j.atmosres.2024.107627
Latest update: 23 Nov 2024
Short summary
We characterize spatial–temporal patterns of interannual variability (IAV) in atmospheric CO2 based on NASA’s Orbiting Carbon Observatory-2 (OCO-2). CO2 variation is strongly impacted by climate events, with higher anomalies during El Nino years. We show high correlation in IAV between space-based and ground-based CO2 from long-term sites. Because OCO-2 has near-global coverage, our paper provides a roadmap to study IAV where in situ observation is sparse, such as open oceans and remote lands.
We characterize spatial–temporal patterns of interannual variability (IAV) in atmospheric CO2...
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