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Title: Detecting regional patterns of changing CO 2 flux in Alaska

Abstract

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 systematicmore » sampling of vertical profiles across continental interiors over the full annual cycle are required to detect the onset of carbon release from thawing permafrost.« less

Authors:
; ORCiD logo; ; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Aeronautic and Space Administration (NASA)
OSTI Identifier:
1259729
Alternate Identifier(s):
OSTI ID: 1379513
Grant/Contract Number:  
AC02-05CH11231; FC03-97ER62402; PLR-1304220
Resource Type:
Published Article
Journal Name:
Proceedings of the National Academy of Sciences of the United States of America
Additional Journal Information:
Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 113 Journal Issue: 28; Journal ID: ISSN 0027-8424
Publisher:
Proceedings of the National Academy of Sciences
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; carbon cycle; permafrost thaw; climate; Earth system models; remote sensing

Citation Formats

Parazoo, Nicholas C., Commane, Roisin, Wofsy, Steven C., Koven, Charles D., Sweeney, Colm, Lawrence, David M., Lindaas, Jakob, Chang, Rachel Y. -W., and Miller, Charles E. Detecting regional patterns of changing CO 2 flux in Alaska. United States: N. p., 2016. Web. doi:10.1073/pnas.1601085113.
Parazoo, Nicholas C., Commane, Roisin, Wofsy, Steven C., Koven, Charles D., Sweeney, Colm, Lawrence, David M., Lindaas, Jakob, Chang, Rachel Y. -W., & Miller, Charles E. Detecting regional patterns of changing CO 2 flux in Alaska. United States. doi:10.1073/pnas.1601085113.
Parazoo, Nicholas C., Commane, Roisin, Wofsy, Steven C., Koven, Charles D., Sweeney, Colm, Lawrence, David M., Lindaas, Jakob, Chang, Rachel Y. -W., and Miller, Charles E. Mon . "Detecting regional patterns of changing CO 2 flux in Alaska". United States. doi:10.1073/pnas.1601085113.
@article{osti_1259729,
title = {Detecting regional patterns of changing CO 2 flux in Alaska},
author = {Parazoo, Nicholas C. and Commane, Roisin and Wofsy, Steven C. and Koven, Charles D. and Sweeney, Colm and Lawrence, David M. and Lindaas, Jakob and Chang, Rachel Y. -W. and Miller, Charles E.},
abstractNote = {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.},
doi = {10.1073/pnas.1601085113},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 28,
volume = 113,
place = {United States},
year = {2016},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1073/pnas.1601085113

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Cited by: 1 work
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    Works referencing / citing this record:

    A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO 2 to estimate benchmarks and assess model bias
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