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

Data sets

MCD43C3 MODIS/Terra+Aqua BRDF/Albedo Albedo Daily L3 Global 0.05Deg CMG V006 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43C3.006

Video supplement

An SNR-optimized Scanning Strategy for GeoCarb - Autumn Equinox J. Nivitanont https://doi.org/10.5446/41781

An SNR-optimized Scanning Strategy for GeoCarb - Summer Solstice J. Nivitanont https://doi.org/10.5446/41780

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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 %.