Detecting regional patterns of changing CO 2 flux in Alaska

© 2016, National Academy of Sciences. All rights reserved. With rapid changes in climate and the seasonal amplitude of carbon dioxide (CO 2 ) in the Arctic, it is critical that we detect and quantify the underlying processes controlling the changing amplitude of CO 2 to better predict carbon cycle f...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences
Main Authors: Parazoo, NC, Commane, R, Wofsy, SC, Koven, CD, Sweeney, C, Lawrence, DM, Lindaas, J, Chang, RYW, Miller, CE
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2016
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Online Access:http://www.escholarship.org/uc/item/00812195
Description
Summary:© 2016, National Academy of Sciences. All rights reserved. With rapid changes in climate and the seasonal amplitude of carbon dioxide (CO 2 ) in the Arctic, it is critical that we detect and quantify the underlying processes controlling the changing amplitude of CO 2 to better predict carbon cycle feedbacks in the Arctic climate system. We use satellite and airborne observations of atmospheric CO 2 with climatically forced CO 2 flux simulations to assess the detectability of Alaskan carbon cycle signals as future warming evolves. We find that current satellite remote sensing technologies can detect changing uptake accurately during the growing season but lack sufficient cold season coverage and near-surface sensitivity to constrain annual carbon balance changes at regional scale. Airborne strategies that target regular vertical profile measurements within continental interiors are more sensitive to regional flux deeper into the cold season but currently lack sufficient spatial coverage throughout the entire cold season. Thus, the current CO 2 observing network is unlikely to detect potentially large CO 2 sources associated with deep permafrost thaw and cold season respiration expected over the next 50 y. Although continuity of current observations is vital, strategies and technologies focused on cold season measurements (active remote sensing, aircraft, and tall towers) and systematic sampling of vertical profiles across continental interiors over the full annual cycle are required to detect the onset of carbon release from thawing permafrost.