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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-359
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-359
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Nov 2018

Research article | 09 Nov 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

An SNR-Optimized Scanning Strategy for Geostationary Carbon Cycle Observatory (GeoCarb) Instrument

Jeffrey Nivitanont and Sean Crowell Jeffrey Nivitanont and Sean Crowell
  • GeoCarb, University of Oklahoma, 301 David L. Boren Blvd., 4 Partners Place, Suite 1120, Norman, OK 73072

Abstract. The Geostationary Carbon Observatory (GeoCarb) will make measurements of greenhouse gases over the land mass in the western hemisphere. The extreme flexibility of observing from geostationary orbit induces an optimization problem, as operators must choose what to observe and when. We express this problem in terms of an optimal subcovering problem, and use an Incremental Optimization (IO) algorithm to create a scanning strategy that minimizes expected error as a function of the signal-to-noise ratio (SNR), and show that this method outperforms the human selected strategy in terms of global error distributions.

Jeffrey Nivitanont and Sean Crowell
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Status: open (until 22 Jan 2019)
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Jeffrey Nivitanont and Sean Crowell
Jeffrey Nivitanont and Sean Crowell
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Latest update: 18 Dec 2018
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Short summary
A scanning strategy is proposed for the upcoming Geostationary Carbon Cycle Observatory (GeoCarb) instrument that utilizes an incremental optimization technique to minimize predicted retrieval errors of CO2 by optimizing signal to noise ratio. Our goal was to find a daily scanning strategy that minimizes predicted error globally. By optimizing for predicted errors incrementally in time, the number of soundings with predicted retrieval error less than 2 parts per million increased 18–41 %.
A scanning strategy is proposed for the upcoming Geostationary Carbon Cycle Observatory...
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