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

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

doi:https://doi.org/10.5194/amt-12-3317-2019

Articles | Volume 12, issue 6

https://doi.org/10.5194/amt-12-3317-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-3317-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 6

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

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 %.