Articles | Volume 6, issue 10
https://doi.org/10.5194/amt-6-2851-2013
© Author(s) 2013. 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-6-2851-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Oct 2013
Research article |
| 25 Oct 2013
Semi-autonomous sounding selection for OCO-2
L. Mandrake
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
C. Frankenberg
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
C. W. O'Dell
Colorado State University, Fort Collins, CO, USA
G. Osterman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
P. Wennberg
California Institute of Technology, Pasadena, CA, USA
California Institute of Technology, Pasadena, CA, USA
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Cited
28 citations as recorded by crossref.
- Evaluation of MOPITT Version 7 joint TIR–NIR XCO retrievals with TCCON J. Hedelius et al. https://doi.org/10.5194/amt-12-5547-2019
- High‐accuracy measurements of total column water vapor from the Orbiting Carbon Observatory‐2 R. Nelson et al. https://doi.org/10.1002/2016GL071200
- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. https://doi.org/10.5194/amt-11-6539-2018
- Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan S. Chen et al. https://doi.org/10.1007/s00376-020-9160-4
- Predictions of failed satellite retrieval of air quality using machine learning E. Malina et al. https://doi.org/10.5194/amt-18-1689-2025
- A comparison of satellite observations with the XCO 2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs L. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.06.018
- Spatial distribution of XCO2 using OCO-2 data in growing seasons Z. Siabi et al. https://doi.org/10.1016/j.jenvman.2019.05.049
- OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals T. Taylor et al. https://doi.org/10.1016/j.rse.2020.112032
- Spaceborne detection of localized carbon dioxide sources F. Schwandner et al. https://doi.org/10.1126/science.aam5782
- Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China L. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120636
- XCO2 retrieval error over deserts near critical surface albedo Q. Zhang et al. https://doi.org/10.1002/2015EA000143
- Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. https://doi.org/10.1109/JSTARS.2024.3378229
- The Orbiting Carbon Observatory (OCO-2) tracks 2–3 peta-gram increase in carbon release to the atmosphere during the 2014–2016 El Niño P. Patra et al. https://doi.org/10.1038/s41598-017-13459-0
- Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. https://doi.org/10.3390/atmos10100581
- Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. https://doi.org/10.5194/amt-8-1641-2015
- The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. https://doi.org/10.5194/amt-10-549-2017
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. https://doi.org/10.1029/2020JD032794
- Mapping CH4 : CO2 ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. https://doi.org/10.5194/acp-15-241-2015
- Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON D. Wunch et al. https://doi.org/10.5194/amt-10-2209-2017
- XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
- Evaluation and attribution of OCO-2 XCO2 uncertainties J. Worden et al. https://doi.org/10.5194/amt-10-2759-2017
- Substantial Discrepancies Across Global Satellite XCO2 Products: A Systematic Evaluation J. Yang et al. https://doi.org/10.3390/rs18020371
- 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. https://doi.org/10.5194/amt-14-7511-2021
- Observational evidence of 3‐D cloud effects in OCO‐2 CO2 retrievals S. Massie et al. https://doi.org/10.1002/2016JD026111
- A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. https://doi.org/10.5194/gmd-11-4843-2018
- Cloud Detection of SuperView-1 Remote Sensing Images Based on Genetic Reinforcement Learning X. Li et al. https://doi.org/10.3390/rs12193190
- The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. https://doi.org/10.3390/atmos11111219
- The potential of clear-sky carbon dioxide satellite retrievals R. Nelson et al. https://doi.org/10.5194/amt-9-1671-2016
28 citations as recorded by crossref.
- Evaluation of MOPITT Version 7 joint TIR–NIR XCO retrievals with TCCON J. Hedelius et al. https://doi.org/10.5194/amt-12-5547-2019
- High‐accuracy measurements of total column water vapor from the Orbiting Carbon Observatory‐2 R. Nelson et al. https://doi.org/10.1002/2016GL071200
- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. https://doi.org/10.5194/amt-11-6539-2018
- Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan S. Chen et al. https://doi.org/10.1007/s00376-020-9160-4
- Predictions of failed satellite retrieval of air quality using machine learning E. Malina et al. https://doi.org/10.5194/amt-18-1689-2025
- A comparison of satellite observations with the XCO 2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs L. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.06.018
- Spatial distribution of XCO2 using OCO-2 data in growing seasons Z. Siabi et al. https://doi.org/10.1016/j.jenvman.2019.05.049
- OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals T. Taylor et al. https://doi.org/10.1016/j.rse.2020.112032
- Spaceborne detection of localized carbon dioxide sources F. Schwandner et al. https://doi.org/10.1126/science.aam5782
- Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China L. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120636
- XCO2 retrieval error over deserts near critical surface albedo Q. Zhang et al. https://doi.org/10.1002/2015EA000143
- Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. https://doi.org/10.1109/JSTARS.2024.3378229
- The Orbiting Carbon Observatory (OCO-2) tracks 2–3 peta-gram increase in carbon release to the atmosphere during the 2014–2016 El Niño P. Patra et al. https://doi.org/10.1038/s41598-017-13459-0
- Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. https://doi.org/10.3390/atmos10100581
- Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. https://doi.org/10.5194/amt-8-1641-2015
- The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. https://doi.org/10.5194/amt-10-549-2017
- Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. https://doi.org/10.1029/2020JD032794
- Mapping CH4 : CO2 ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. https://doi.org/10.5194/acp-15-241-2015
- Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON D. Wunch et al. https://doi.org/10.5194/amt-10-2209-2017
- XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
- Evaluation and attribution of OCO-2 XCO2 uncertainties J. Worden et al. https://doi.org/10.5194/amt-10-2759-2017
- Substantial Discrepancies Across Global Satellite XCO2 Products: A Systematic Evaluation J. Yang et al. https://doi.org/10.3390/rs18020371
- 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. https://doi.org/10.5194/amt-14-7511-2021
- Observational evidence of 3‐D cloud effects in OCO‐2 CO2 retrievals S. Massie et al. https://doi.org/10.1002/2016JD026111
- A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. https://doi.org/10.5194/gmd-11-4843-2018
- Cloud Detection of SuperView-1 Remote Sensing Images Based on Genetic Reinforcement Learning X. Li et al. https://doi.org/10.3390/rs12193190
- The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. https://doi.org/10.3390/atmos11111219
- The potential of clear-sky carbon dioxide satellite retrievals R. Nelson et al. https://doi.org/10.5194/amt-9-1671-2016
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