Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4817-2015
© Author(s) 2015. 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-8-4817-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Nov 2015
Research article |
| 18 Nov 2015
Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit
X. Xi
CORRESPONDING AUTHOR
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
V. Natraj
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
R. L. Shia
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
M. Luo
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Q. Zhang
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
S. Newman
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
S. P. Sander
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Y. L. Yung
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
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- Detecting high-emitting methane sources in oil/gas fields using satellite observations D. Cusworth et al. 10.5194/acp-18-16885-2018
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- Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
- Reevaluating the Use of O2 a1Δg Band in Spaceborne Remote Sensing of Greenhouse Gases K. Sun et al. 10.1029/2018GL077823
- Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space D. Cusworth et al. 10.5194/amt-12-5655-2019
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- The Atmospheric Imaging Mission for Northern Regions: AIM-North R. Nassar et al. 10.1080/07038992.2019.1643707
- Tracking the atmospheric pulse of a North American megacity from a mountaintop remote sensing observatory Z. Zeng et al. 10.1016/j.rse.2020.112000
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin Z. Zeng et al. 10.5194/acp-17-2495-2017
- Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
- Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder V. Natraj et al. 10.5194/amt-15-1251-2022
- Quantifying the impact of aerosol scattering on the retrieval of methane from airborne remote sensing measurements Y. Huang et al. 10.5194/amt-13-6755-2020
- Earth as a Proxy Exoplanet: Simulating DSCOVR/EPIC Observations Using the Earth Spectrum Simulator L. Gu et al. 10.3847/1538-3881/ac5e2e
- Detecting high-emitting methane sources in oil/gas fields using satellite observations D. Cusworth et al. 10.5194/acp-18-16885-2018
- XCO2 retrieval error over deserts near critical surface albedo Q. Zhang et al. 10.1002/2015EA000143
- Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. 10.1016/j.rse.2020.111760
- The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty G. McGarragh et al. 10.5194/amt-17-1091-2024
1 citations as recorded by crossref.
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Short summary
The Geostationary Fourier Transform Spectrometer (GeoFTS) is designed to measure high-resolution spectra of reflected sunlight in near-infrared bands and to deliver simultaneous retrievals of column-averaged dry air mole fractions of CO2, CH4, CO, and H2O at different times of day. We perform radiative transfer simulations over both clear-sky and all-sky scenes and estimate the prospective performance of retrievals based on results from Bayesian error analysis and characterization.
The Geostationary Fourier Transform Spectrometer (GeoFTS) is designed to measure high-resolution...
