More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems

Abstract Surface, aircraft, and satellite measurements indicate pervasive early cold season (Augut–September) CO2 emissions across Arctic regions, consistent with increased ecosystem metabolism in plants and soils. A key remaining question is whether cold season sources will become large enough to p...

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Main Authors: Nicholas C. Parazoo, Gretchen Keppel‐Aleks, Stanley Sander, Brendan Byrne, Vijay Natraj, Ming Luo, Jean‐Francois Blavier, Len Dorsky, Ray Nassar
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Geophysical Research Letters
Subjects:
Online Access:https://doi.org/10.1029/2023GL107158
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author Nicholas C. Parazoo
Gretchen Keppel‐Aleks
Stanley Sander
Brendan Byrne
Vijay Natraj
Ming Luo
Jean‐Francois Blavier
Len Dorsky
Ray Nassar
author_facet Nicholas C. Parazoo
Gretchen Keppel‐Aleks
Stanley Sander
Brendan Byrne
Vijay Natraj
Ming Luo
Jean‐Francois Blavier
Len Dorsky
Ray Nassar
author_sort Nicholas C. Parazoo
collection DOAJ
description Abstract Surface, aircraft, and satellite measurements indicate pervasive early cold season (Augut–September) CO2 emissions across Arctic regions, consistent with increased ecosystem 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. Our simulations demonstrate the potential benefits of increased CO2 sampling for detecting emissions during the early cold season.
format Article
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issn 0094-8276
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publishDate 2024-06-01
publisher Wiley
record_format Article
series Geophysical Research Letters
spelling doaj-art-038fc41c14c7433182f679f7e4a8e1712025-08-20T03:10:21ZengWileyGeophysical Research Letters0094-82761944-80072024-06-015112n/an/a10.1029/2023GL107158More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal EcosystemsNicholas C. Parazoo0Gretchen Keppel‐Aleks1Stanley Sander2Brendan Byrne3Vijay Natraj4Ming Luo5Jean‐Francois Blavier6Len Dorsky7Ray Nassar8Jet Propulsion Laboratory California Institute of Technology Pasadena CA USAUniversity of Michigan Climate and Space Sciences and Engineering Ann MI USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USAEnvironment and Climate Change Canada Toronto ON CanadaAbstract Surface, aircraft, and satellite measurements indicate pervasive early cold season (Augut–September) CO2 emissions across Arctic regions, consistent with increased ecosystem 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. Our simulations demonstrate the potential benefits of increased CO2 sampling for detecting emissions during the early cold season.https://doi.org/10.1029/2023GL107158imaging spectroscopyArcticcarbon cycleclimate changeAURORAArctic observing mission
spellingShingle Nicholas C. Parazoo
Gretchen Keppel‐Aleks
Stanley Sander
Brendan Byrne
Vijay Natraj
Ming Luo
Jean‐Francois Blavier
Len Dorsky
Ray Nassar
More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
Geophysical Research Letters
imaging spectroscopy
Arctic
carbon cycle
climate change
AURORA
Arctic observing mission
title More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
title_full More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
title_fullStr More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
title_full_unstemmed More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
title_short More Frequent Spaceborne Sampling of XCO2 Improves Detectability of Carbon Cycle Seasonal Transitions in Arctic‐Boreal Ecosystems
title_sort more frequent spaceborne sampling of xco2 improves detectability of carbon cycle seasonal transitions in arctic boreal ecosystems
topic imaging spectroscopy
Arctic
carbon cycle
climate change
AURORA
Arctic observing mission
url https://doi.org/10.1029/2023GL107158
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