Articles | Volume 7, issue 8
https://doi.org/10.5194/amt-7-2631-2014
© Author(s) 2014. 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-7-2631-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A method for colocating satellite XCO2 data to ground-based data and its application to ACOS-GOSAT and TCCON
H. Nguyen
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
G. Osterman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
California Institute of Technology, Pasadena, CA, USA
C. O'Dell
Colorado State University, Fort Collins, CO, USA
L. Mandrake
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
P. Wennberg
California Institute of Technology, Pasadena, CA, USA
B. Fisher
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
R. Castano
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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Cited
30 citations as recorded by crossref.
- Study of the footprints of short-term variation in XCO<sub>2</sub> observed by TCCON sites using NIES and FLEXPART atmospheric transport models D. Belikov et al. 10.5194/acp-17-143-2017
- High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites H. Shi et al. 10.3390/rs15061671
- Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
- Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Temporal variability of atmospheric columnar CO2, CH4, CO and N2O concentrations using ground-based remote sensing FTIR Spectrometer M. Pathakoti et al. 10.1016/j.asr.2024.02.028
- CO2 annual and semiannual cycles from multiple satellite retrievals and models X. Jiang et al. 10.1002/2014EA000045
- 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
- Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) <i>X</i><sub>CO<sub>2</sub></sub> measurements with TCCON D. Wunch et al. 10.5194/amt-10-2209-2017
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
- Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- 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
- Intercomparability of X<sub>CO<sub>2</sub></sub> and X<sub>CH<sub>4</sub></sub> from the United States TCCON sites J. Hedelius et al. 10.5194/amt-10-1481-2017
- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. 10.5194/amt-11-6539-2018
- Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
- Global Patterns of Carbon Dioxide Variability from Satellite Observations X. Jiang & Y. Yung 10.1146/annurev-earth-053018-060447
- 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
- The Influence of Validation Colocation on XCO2 Satellite–Terrestrial Joint Observations R. Li et al. 10.3390/rs15225270
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
- Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. 10.5194/amt-9-3491-2016
- Observations of XCO<sub>2</sub> and XCH<sub>4</sub> with ground-based high-resolution FTS at Saga, Japan, and comparisons with GOSAT products H. Ohyama et al. 10.5194/amt-8-5263-2015
- On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. 10.3390/rs10010155
- 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
30 citations as recorded by crossref.
- Study of the footprints of short-term variation in XCO<sub>2</sub> observed by TCCON sites using NIES and FLEXPART atmospheric transport models D. Belikov et al. 10.5194/acp-17-143-2017
- High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites H. Shi et al. 10.3390/rs15061671
- Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
- Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Temporal variability of atmospheric columnar CO2, CH4, CO and N2O concentrations using ground-based remote sensing FTIR Spectrometer M. Pathakoti et al. 10.1016/j.asr.2024.02.028
- CO2 annual and semiannual cycles from multiple satellite retrievals and models X. Jiang et al. 10.1002/2014EA000045
- 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
- Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) <i>X</i><sub>CO<sub>2</sub></sub> measurements with TCCON D. Wunch et al. 10.5194/amt-10-2209-2017
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
- Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- 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
- Intercomparability of X<sub>CO<sub>2</sub></sub> and X<sub>CH<sub>4</sub></sub> from the United States TCCON sites J. Hedelius et al. 10.5194/amt-10-1481-2017
- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. 10.5194/amt-11-6539-2018
- Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
- Global Patterns of Carbon Dioxide Variability from Satellite Observations X. Jiang & Y. Yung 10.1146/annurev-earth-053018-060447
- 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
- The Influence of Validation Colocation on XCO2 Satellite–Terrestrial Joint Observations R. Li et al. 10.3390/rs15225270
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
- Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. 10.5194/amt-9-3491-2016
- Observations of XCO<sub>2</sub> and XCH<sub>4</sub> with ground-based high-resolution FTS at Saga, Japan, and comparisons with GOSAT products H. Ohyama et al. 10.5194/amt-8-5263-2015
- On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. 10.3390/rs10010155
- 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
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