Articles | Volume 12, issue 5
https://doi.org/10.5194/amt-12-2611-2019
https://doi.org/10.5194/amt-12-2611-2019
Research article
 | 
07 May 2019
Research article |  | 07 May 2019

A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias

Leonardo Calle, Benjamin Poulter, and Prabir K. Patra

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Latest update: 28 Mar 2024
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Short summary
Satellite observations of atmospheric carbon dioxide offer extraordinary insights into terrestrial ecosystem activity on Earth. The algorithm we present provides researchers with a great deal more information from these satellite data than has been available in the past. We hope the application of this algorithm and analyses tools provides insight into atmospheric dynamics of carbon dioxide and helps inform the development of global ecosystem models in the future.