Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit

Xi, X.; Natraj, V.; Shia, R. L.; Luo, M.; Zhang, Q.; Newman, S.; Sander, S. P.; Yung, Y. L.

doi:https://doi.org/10.5194/amt-8-4817-2015

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.

https://doi.org/10.5194/amt-8-4817-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 11

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, V. Natraj, R. L. Shia, M. Luo, Q. Zhang, S. Newman, S. P. Sander, and Y. L. Yung

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Final revised paper (published on 18 Nov 2015)
Preprint (discussion started on 12 Jun 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C1580: 'review of Xi et al.', Chris Sioris, 17 Jun 2015
- AC C1690: 'Reply to Dr. Sioris' Review', Xi Xi, 25 Jun 2015
  - AC C1901: 'Reply to Dr. Sioris' Review with Reference to Revised Manuscript', Xi Xi, 07 Jul 2015
SC C1675: 'Reply to Dr. Sioris' Review', Xi Xi, 24 Jun 2015
RC C1883: 'Reviewer#2 comments', Anonymous Referee #2, 04 Jul 2015
- AC C1903: 'Reply to Reviewer #2's Comments with Reference to Revised Manuscript', Xi Xi, 07 Jul 2015
AC C1902: 'Manuscript Revised According to Reviewers' Comments/Suggestions', Xi Xi, 07 Jul 2015

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.