Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2
The triple oxygen isotope signature Δ17O in atmospheric CO2, also known as its “17O excess,” has been proposed as a tracer for gross primary production (the gross uptake of CO2 by vegetation through photosynthesis). We present the first global 3-D model simulations for Δ17O in atmospheric CO2 togeth...
Published in: | Journal of Geophysical Research: Atmospheres |
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Online Access: | https://research.wur.nl/en/publications/global-3-d-simulations-of-the-triple-oxygen-isotope-signature-δsu https://doi.org/10.1029/2019JD030387 |
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ftunivwagenin:oai:library.wur.nl:wurpubs/552827 2024-02-11T10:08:35+01:00 Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 Koren, Gerbrand Schneider, Linda van der Velde, Ivar R. van Schaik, Erik Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E.G. Liang, Mao Chang Mahata, Sasadhar Bergamaschi, Peter van der Laan-Luijkx, Ingrid T. Krol, Maarten C. Röckmann, Thomas Peters, Wouter 2019 application/pdf https://research.wur.nl/en/publications/global-3-d-simulations-of-the-triple-oxygen-isotope-signature-δsu https://doi.org/10.1029/2019JD030387 en eng https://edepot.wur.nl/498192 https://research.wur.nl/en/publications/global-3-d-simulations-of-the-triple-oxygen-isotope-signature-δsu doi:10.1029/2019JD030387 https://creativecommons.org/licenses/by-nc-nd/4.0/ Wageningen University & Research Journal of Geophysical Research: Atmospheres 124 (2019) 15 ISSN: 2169-897X O excess (ΔO) carbon cycle carbon dioxide (CO) gross primary production (GPP) mass-independent fractionation (MIF) stable isotopes Article/Letter to editor 2019 ftunivwagenin https://doi.org/10.1029/2019JD030387 2024-01-24T23:16:01Z The triple oxygen isotope signature Δ17O in atmospheric CO2, also known as its “17O excess,” has been proposed as a tracer for gross primary production (the gross uptake of CO2 by vegetation through photosynthesis). We present the first global 3-D model simulations for Δ17O in atmospheric CO2 together with a detailed model description and sensitivity analyses. In our 3-D model framework we include the stratospheric source of Δ17O in CO2 and the surface sinks from vegetation, soils, ocean, biomass burning, and fossil fuel combustion. The effect of oxidation of atmospheric CO on Δ17O in CO2 is also included in our model. We estimate that the global mean Δ17O (defined as Δ17O = ln(δ17O+1)−λRL·ln(δ18O+1) with λRL = 0.5229) of CO2 in the lowest 500 m of the atmosphere is 39.6 per meg, which is ∼20 per meg lower than estimates from existing box models. We compare our model results with a measured stratospheric Δ17O in CO2 profile from Sodankylä (Finland), which shows good agreement. In addition, we compare our model results with tropospheric measurements of Δ17O in CO2 from Göttingen (Germany) and Taipei (Taiwan), which shows some agreement but we also find substantial discrepancies that are subsequently discussed. Finally, we show model results for Zotino (Russia), Mauna Loa (United States), Manaus (Brazil), and South Pole, which we propose as possible locations for future measurements of Δ17O in tropospheric CO2 that can help to further increase our understanding of the global budget of Δ17O in atmospheric CO2. Article in Journal/Newspaper Sodankylä South pole Wageningen UR (University & Research Centre): Digital Library South Pole Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Journal of Geophysical Research: Atmospheres 124 15 8808 8836 |
institution |
Open Polar |
collection |
Wageningen UR (University & Research Centre): Digital Library |
op_collection_id |
ftunivwagenin |
language |
English |
topic |
O excess (ΔO) carbon cycle carbon dioxide (CO) gross primary production (GPP) mass-independent fractionation (MIF) stable isotopes |
spellingShingle |
O excess (ΔO) carbon cycle carbon dioxide (CO) gross primary production (GPP) mass-independent fractionation (MIF) stable isotopes Koren, Gerbrand Schneider, Linda van der Velde, Ivar R. van Schaik, Erik Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E.G. Liang, Mao Chang Mahata, Sasadhar Bergamaschi, Peter van der Laan-Luijkx, Ingrid T. Krol, Maarten C. Röckmann, Thomas Peters, Wouter Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
topic_facet |
O excess (ΔO) carbon cycle carbon dioxide (CO) gross primary production (GPP) mass-independent fractionation (MIF) stable isotopes |
description |
The triple oxygen isotope signature Δ17O in atmospheric CO2, also known as its “17O excess,” has been proposed as a tracer for gross primary production (the gross uptake of CO2 by vegetation through photosynthesis). We present the first global 3-D model simulations for Δ17O in atmospheric CO2 together with a detailed model description and sensitivity analyses. In our 3-D model framework we include the stratospheric source of Δ17O in CO2 and the surface sinks from vegetation, soils, ocean, biomass burning, and fossil fuel combustion. The effect of oxidation of atmospheric CO on Δ17O in CO2 is also included in our model. We estimate that the global mean Δ17O (defined as Δ17O = ln(δ17O+1)−λRL·ln(δ18O+1) with λRL = 0.5229) of CO2 in the lowest 500 m of the atmosphere is 39.6 per meg, which is ∼20 per meg lower than estimates from existing box models. We compare our model results with a measured stratospheric Δ17O in CO2 profile from Sodankylä (Finland), which shows good agreement. In addition, we compare our model results with tropospheric measurements of Δ17O in CO2 from Göttingen (Germany) and Taipei (Taiwan), which shows some agreement but we also find substantial discrepancies that are subsequently discussed. Finally, we show model results for Zotino (Russia), Mauna Loa (United States), Manaus (Brazil), and South Pole, which we propose as possible locations for future measurements of Δ17O in tropospheric CO2 that can help to further increase our understanding of the global budget of Δ17O in atmospheric CO2. |
format |
Article in Journal/Newspaper |
author |
Koren, Gerbrand Schneider, Linda van der Velde, Ivar R. van Schaik, Erik Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E.G. Liang, Mao Chang Mahata, Sasadhar Bergamaschi, Peter van der Laan-Luijkx, Ingrid T. Krol, Maarten C. Röckmann, Thomas Peters, Wouter |
author_facet |
Koren, Gerbrand Schneider, Linda van der Velde, Ivar R. van Schaik, Erik Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E.G. Liang, Mao Chang Mahata, Sasadhar Bergamaschi, Peter van der Laan-Luijkx, Ingrid T. Krol, Maarten C. Röckmann, Thomas Peters, Wouter |
author_sort |
Koren, Gerbrand |
title |
Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
title_short |
Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
title_full |
Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
title_fullStr |
Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
title_full_unstemmed |
Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
title_sort |
global 3-d simulations of the triple oxygen isotope signature δ17o in atmospheric co2 |
publishDate |
2019 |
url |
https://research.wur.nl/en/publications/global-3-d-simulations-of-the-triple-oxygen-isotope-signature-δsu https://doi.org/10.1029/2019JD030387 |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
South Pole Sodankylä |
geographic_facet |
South Pole Sodankylä |
genre |
Sodankylä South pole |
genre_facet |
Sodankylä South pole |
op_source |
Journal of Geophysical Research: Atmospheres 124 (2019) 15 ISSN: 2169-897X |
op_relation |
https://edepot.wur.nl/498192 https://research.wur.nl/en/publications/global-3-d-simulations-of-the-triple-oxygen-isotope-signature-δsu doi:10.1029/2019JD030387 |
op_rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/ Wageningen University & Research |
op_doi |
https://doi.org/10.1029/2019JD030387 |
container_title |
Journal of Geophysical Research: Atmospheres |
container_volume |
124 |
container_issue |
15 |
container_start_page |
8808 |
op_container_end_page |
8836 |
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1790608006408306688 |