Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-5033-2020
© Author(s) 2020. 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-13-5033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quality controls, bias, and seasonality of CO2 columns in the boreal forest with Orbiting Carbon Observatory-2, Total Carbon Column Observing Network, and EM27/SUN measurements
Nicole Jacobs
Department of Chemistry and the Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA
Department of Chemistry and the Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA
Debra Wunch
Department of Physics, University of Toronto, Toronto, Canada
Christopher W. O'Dell
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Gregory B. Osterman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Frank Hase
Karlsruhe Institute of Technology, Institute of Meteorology
and Climate Research, Karlsruhe, Germany
Thomas Blumenstock
Karlsruhe Institute of Technology, Institute of Meteorology
and Climate Research, Karlsruhe, Germany
Qiansi Tu
Karlsruhe Institute of Technology, Institute of Meteorology
and Climate Research, Karlsruhe, Germany
Matthias Frey
Karlsruhe Institute of Technology, Institute of Meteorology
and Climate Research, Karlsruhe, Germany
National Institute for Environmental Studies, Tsukuba, Japan
Manvendra K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Harrison A. Parker
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
California Institute of Technology, Pasadena, CA, USA
Rigel Kivi
Finnish Meteorological Institute, Sodankylä, Finland
Pauli Heikkinen
Finnish Meteorological Institute, Sodankylä, Finland
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- Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
- Assessing the feasibility of using a neural network to filter Orbiting Carbon Observatory 2 (OCO-2) retrievals at northern high latitudes J. Mendonca et al. 10.5194/amt-14-7511-2021
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2) S. Mauceri et al. 10.5194/amt-16-1461-2023
- 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
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- Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space? M. Rißmann et al. 10.5194/amt-15-6605-2022
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. 10.5194/bg-19-4779-2022
- A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
- Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
- Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
- Intercomparison of atmospheric CO<sub>2</sub> and CH<sub>4</sub> abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations Q. Tu et al. 10.5194/amt-13-4751-2020
21 citations as recorded by crossref.
- Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites H. Shi et al. 10.3390/rs15061671
- Non-Lambertian snow surface reflection models for simulated top-of-the-atmosphere radiances in the NIR and SWIR wavelengths A. Mikkonen et al. 10.1016/j.jqsrt.2023.108892
- Was Australia a sink or source of CO<sub>2</sub> in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
- Intercomparison of arctic XH<sub>2</sub>O observations from three ground-based Fourier transform infrared networks and application for satellite validation Q. Tu et al. 10.5194/amt-14-1993-2021
- Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
- Assessing the feasibility of using a neural network to filter Orbiting Carbon Observatory 2 (OCO-2) retrievals at northern high latitudes J. Mendonca et al. 10.5194/amt-14-7511-2021
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2) S. Mauceri et al. 10.5194/amt-16-1461-2023
- 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
- Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
- Using portable low-resolution spectrometers to evaluate Total Carbon Column Observing Network (TCCON) biases in North America N. Mostafavi Pak et al. 10.5194/amt-16-1239-2023
- 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
- Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
- Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space? M. Rißmann et al. 10.5194/amt-15-6605-2022
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia B. Byrne et al. 10.5194/bg-19-4779-2022
- A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
- Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
- Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
Latest update: 02 Nov 2024
Short summary
The boreal forest is the largest seasonally varying biospheric CO2-exchange region on Earth. This region is also undergoing amplified climate warming, leading to concerns about the potential for altered regional carbon exchange. Satellite missions, such as the Orbiting Carbon Observatory-2 (OCO-2) project, can measure CO2 abundance over the boreal forest but need validation for the assurance of accuracy. Therefore, we carried out a ground-based validation of OCO-2 CO2 data at three locations.
The boreal forest is the largest seasonally varying biospheric CO2-exchange region on Earth....