Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4909-2018
© Author(s) 2018. 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-11-4909-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements
Anand K. Ramanathan
CORRESPONDING AUTHOR
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740,
USA
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
Hai M. Nguyen
NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Xiaoli Sun
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
Jianping Mao
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740,
USA
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
James B. Abshire
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
Jonathan M. Hobbs
NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Amy J. Braverman
NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
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Cited
13 citations as recorded by crossref.
- Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. 10.5194/amt-18-1609-2025
- Retrieval algorithm for the column CO2 mixing ratio from pulsed multi-wavelength lidar measurements X. Sun et al. 10.5194/amt-14-3909-2021
- Measurement of Atmospheric CO2 Column Concentrations Based on Open-Path TDLAS F. Xin et al. 10.3390/s21051722
- Airborne lidar measurements of atmospheric CO2 column concentrations to cloud tops made during the 2017 ASCENDS/ABoVE campaign J. Mao et al. 10.5194/amt-17-1061-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- 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
- Measuring Atmospheric CO2 Enhancements From the 2017 British Columbia Wildfires Using a Lidar J. Mao et al. 10.1029/2021GL093805
- Improving CO₂ Concentration Profile Measurements From a Ground-Based CO₂-DIAL Through Conditional Adjustment T. Shi et al. 10.1109/LGRS.2020.3024230
- Spectral Energy Model-Driven Inversion of XCO2 in IPDA Lidar Remote Sensing H. Zhang et al. 10.1109/TGRS.2023.3238117
- Wavelength optimization of space-borne electro-optic dual-comb lidar for CO2 detection at 1572 nm Z. Liu et al. 10.1007/s00340-024-08286-x
- Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. 10.3390/rs11232770
- Performance analysis on the feasibility and accuracy of triple-wavelength integrated path absorption lidar for atmospheric CO2 measurement C. Chen et al. 10.1364/AO.560607
- High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar X. Ma et al. 10.3390/s20205887
13 citations as recorded by crossref.
- Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. 10.5194/amt-18-1609-2025
- Retrieval algorithm for the column CO2 mixing ratio from pulsed multi-wavelength lidar measurements X. Sun et al. 10.5194/amt-14-3909-2021
- Measurement of Atmospheric CO2 Column Concentrations Based on Open-Path TDLAS F. Xin et al. 10.3390/s21051722
- Airborne lidar measurements of atmospheric CO2 column concentrations to cloud tops made during the 2017 ASCENDS/ABoVE campaign J. Mao et al. 10.5194/amt-17-1061-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- 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
- Measuring Atmospheric CO2 Enhancements From the 2017 British Columbia Wildfires Using a Lidar J. Mao et al. 10.1029/2021GL093805
- Improving CO₂ Concentration Profile Measurements From a Ground-Based CO₂-DIAL Through Conditional Adjustment T. Shi et al. 10.1109/LGRS.2020.3024230
- Spectral Energy Model-Driven Inversion of XCO2 in IPDA Lidar Remote Sensing H. Zhang et al. 10.1109/TGRS.2023.3238117
- Wavelength optimization of space-borne electro-optic dual-comb lidar for CO2 detection at 1572 nm Z. Liu et al. 10.1007/s00340-024-08286-x
- Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. 10.3390/rs11232770
- Performance analysis on the feasibility and accuracy of triple-wavelength integrated path absorption lidar for atmospheric CO2 measurement C. Chen et al. 10.1364/AO.560607
- High-Precision CO2 Column Length Analysis on the Basis of a 1.57-μm Dual-Wavelength IPDA Lidar X. Ma et al. 10.3390/s20205887
Latest update: 31 May 2025
Short summary
Remote sensing of greenhouse gases (GHG) such as CO2 and CH4 in the atmosphere from space is important for studying emissions and the carbon cycle. Present-day techniques measure the absorption of light passing through the atmosphere and determine the column-averaged gas concentration in the atmosphere. Here, we draw from a well-known singular value decomposition (SVD) framework to develop a technique of extracting information about the GHG concentration profile from the column absorption.
Remote sensing of greenhouse gases (GHG) such as CO2 and CH4 in the atmosphere from space is...