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More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic-Boreal Ecosystems
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  • Nicholas C Parazoo,
  • Gretchen Keppel-Aleks,
  • Stanley Sander,
  • Brendan Byrne,
  • Vijay Natraj,
  • Mingzhao Luo,
  • Jean-Francois Blavier,
  • Leonard Dorsky,
  • Ray Nassar
Nicholas C Parazoo
Jet Propulsion Laboratory

Corresponding Author:[email protected]

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Gretchen Keppel-Aleks
University of Michigan-Ann Arbor
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Stanley Sander
Jet Propulsion Laboratory
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Brendan Byrne
Jet Propulsion Lab
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Vijay Natraj
Jet Propulsion Laboratory, California Institute of Technology
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Mingzhao Luo
Jet Propulsion Lab (NASA)
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Jean-Francois Blavier
Jet Propulsion Laboratory
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Leonard Dorsky
Jet Propulsion Laboratory
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Ray Nassar
Environment and Climate Change Canada
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Surface, aircraft, and satellite measurements indicate pervasive cold season CO2 emissions across Arctic regions, consistent with a hyperactive biosphere and increased metabolism in plants and soils. A key remaining question is whether cold season sources will become large enough to permanently shift the Arctic into a net carbon source. Polar orbiting GHG satellites provide robust estimation of regional carbon budgets but lack sufficient spatial coverage and repeat frequency to track sink-to-source transitions in the early cold season. Mission concepts such as the Arctic Observing Mission (AOM) advocate for flying imaging spectrometers in highly elliptical orbits (HEO) over the Arctic to address sampling limitations. We perform retrieval and flux inversion simulation experiments using the AURORA mission concept, leveraging a Panchromatic imaging Fourier Transform Spectrometer (PanFTS) in HEO. AURORA simulations demonstrate the benefits of increased CO2 sampling for detecting spatial gradients in cold season efflux and improved monitoring of rapid Arctic change.
09 Nov 2023Submitted to ESS Open Archive
14 Nov 2023Published in ESS Open Archive