Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3317-2019
https://doi.org/10.5194/amt-12-3317-2019
Research article
 | 
21 Jun 2019
Research article |  | 21 Jun 2019

A scanning strategy optimized for signal-to-noise ratio for the Geostationary Carbon Cycle Observatory (GeoCarb) instrument

Jeffrey Nivitanont, Sean M. R. Crowell, and Berrien Moore III

Viewed

Total article views: 2,496 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,614 815 67 2,496 70 64
  • HTML: 1,614
  • PDF: 815
  • XML: 67
  • Total: 2,496
  • BibTeX: 70
  • EndNote: 64
Views and downloads (calculated since 09 Nov 2018)
Cumulative views and downloads (calculated since 09 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,496 (including HTML, PDF, and XML) Thereof 2,370 with geography defined and 126 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
A scanning strategy is proposed for the upcoming GeoCarb instrument that minimizes predicted retrieval errors of CO2 by optimizing signal-to-noise ratio with respect to air mass factor and solar zenith angle. The strategy is generated using a modified greedy algorithm that optimizes over these stationary processes while also considering operational constraints. This method increases the number of soundings with predicted CO2 retrieval error less than 2 ppm by 18–41 %.