Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3513-2016
© 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-9-3513-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
GFIT2: an experimental algorithm for vertical profile retrieval from near-IR spectra
Brian J. Connor
CORRESPONDING AUTHOR
BC Consulting Limited, Martinborough, New
Zealand
Vanessa Sherlock
National Institute for Water and Atmospheric Research,
Wellington, New Zealand
Geoff Toon
Jet Propulsion Laboratory, California Institute of
Technology, Pasadena, CA, USA
Debra Wunch
California Institute of Technology, Pasadena, CA,
USA
Paul O. Wennberg
California Institute of Technology, Pasadena, CA,
USA
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19 citations as recorded by crossref.
- Inferring the vertical distribution of CO and CO2 from TCCON total column values using the TARDISS algorithm H. Parker et al. 10.5194/amt-16-2601-2023
- High accuracy absorption coefficients for the Orbiting Carbon Observatory-2 (OCO-2) mission: Validation of updated carbon dioxide cross-sections using atmospheric spectra F. Oyafuso et al. 10.1016/j.jqsrt.2017.06.012
- Determining Both Tropospheric and Stratospheric СО2 Contents Using a Ground-Based IR Spectroscopic Method Y. Timofeyev et al. 10.1134/S0001433821020110
- A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. 10.1109/JSTARS.2024.3355549
- High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites H. Shi et al. 10.3390/rs15061671
- Comparison of Stratospheric CO2 Measurements by Ground- and Satellite-Based Methods A. Nikitenko et al. 10.1134/S1024856022040145
- 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
- Retrieval of atmospheric CO<sub>2</sub> vertical profiles from ground-based near-infrared spectra S. Roche et al. 10.5194/amt-14-3087-2021
- GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols Z. Zeng et al. 10.5194/amt-14-6483-2021
- Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
- Information Content of the Ground-Based FTIR Method for Atmospheric HNO3 Vertical Structure Retrieval Y. Virolainen et al. 10.1134/S102485602302015X
- Lower-tropospheric CO<sub>2</sub> from near-infrared ACOS-GOSAT observations S. Kulawik et al. 10.5194/acp-17-5407-2017
- The Total Carbon Column Observing Network site description for Lauder, New Zealand D. Pollard et al. 10.5194/essd-9-977-2017
- The effects of advanced spectral line shapes on atmospheric carbon dioxide retrievals D. Long et al. 10.1016/j.jqsrt.2022.108324
- Validation Method for Spaceborne IPDA LIDAR ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ Products via TCCON H. Zhang et al. 10.1109/JSTARS.2024.3418028
- Resolving nonuniform temperature distributions with single-beam absorption spectroscopy. Part II: Implementation from broadband spectra N. Malarich & G. Rieker 10.1016/j.jqsrt.2021.107805
- Research on a Data Preprocessing Method for a Vehicle-Mounted Solar Occultation Flux–Fourier Transform Infrared Spectrometer Y. Deng et al. 10.3390/photonics11060541
- A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. 10.5194/amt-11-4909-2018
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
2 citations as recorded by crossref.
- Improving atmospheric CO2 retrievals using line mixing and speed-dependence when fitting high-resolution ground-based solar spectra J. Mendonca et al. 10.1016/j.jms.2016.01.007
- Using high-resolution laboratory and ground-based solar spectra to assess CH4 absorption coefficient calculations J. Mendonca et al. 10.1016/j.jqsrt.2016.12.013
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
An algorithm for retrieval of vertical profiles of CO2 from ground-based spectra is described. Retrieval of CO2 vertical profiles from would be very beneficial for carbon cycle studies and the validation of satellite measurements. There are approximately 3 degrees of freedom for the CO2 profile. The accuracy of retrievals of CO2 from the spectral band used is limited by small errors in the calculated spectrum. Ongoing research is needed and described.
An algorithm for retrieval of vertical profiles of CO2 from ground-based spectra is described....