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...
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ftdatacite:10.5445/ir/1000099372 2023-05-15T18:20:18+02:00 Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 Koren, Gerbrand Schneider, Linda Velde, Ivar R. Van Der Schaik, Erik Van Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E. G. Liang, Mao-Chang Mahata, Sasadhar Bergamaschi, Peter Laan-Luijkx, Ingrid T. Van Der Krol, Maarten C. Röckmann, Thomas Peters, Wouter 2019 PDF https://dx.doi.org/10.5445/ir/1000099372 https://publikationen.bibliothek.kit.edu/1000099372 en eng Karlsruhe Creative Commons Namensnennung – Nicht kommerziell – Keine Bearbeitungen 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/deed.de CC-BY-NC-ND Text article-journal Journal Article ScholarlyArticle 2019 ftdatacite https://doi.org/10.5445/ir/1000099372 2021-11-05T12:55:41Z 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(???? ¹⁷O + 1) − ????RL · ln(???? ¹⁸O + 1) with ????RL = 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 . Text Sodankylä South pole DataCite Metadata Store (German National Library of Science and Technology) Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) South Pole |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
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(???? ¹⁷O + 1) − ????RL · ln(???? ¹⁸O + 1) with ????RL = 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 |
Text |
author |
Koren, Gerbrand Schneider, Linda Velde, Ivar R. Van Der Schaik, Erik Van Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E. G. Liang, Mao-Chang Mahata, Sasadhar Bergamaschi, Peter Laan-Luijkx, Ingrid T. Van Der Krol, Maarten C. Röckmann, Thomas Peters, Wouter |
spellingShingle |
Koren, Gerbrand Schneider, Linda Velde, Ivar R. Van Der Schaik, Erik Van Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E. G. Liang, Mao-Chang Mahata, Sasadhar Bergamaschi, Peter Laan-Luijkx, Ingrid T. Van Der Krol, Maarten C. Röckmann, Thomas Peters, Wouter Global 3-D Simulations of the Triple Oxygen Isotope Signature Δ17O in Atmospheric CO2 |
author_facet |
Koren, Gerbrand Schneider, Linda Velde, Ivar R. Van Der Schaik, Erik Van Gromov, Sergey S. Adnew, Getachew A. Mrozek Martino, Dorota J. Hofmann, Magdalena E. G. Liang, Mao-Chang Mahata, Sasadhar Bergamaschi, Peter Laan-Luijkx, Ingrid T. Van Der 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 |
publisher |
Karlsruhe |
publishDate |
2019 |
url |
https://dx.doi.org/10.5445/ir/1000099372 https://publikationen.bibliothek.kit.edu/1000099372 |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Sodankylä South Pole |
geographic_facet |
Sodankylä South Pole |
genre |
Sodankylä South pole |
genre_facet |
Sodankylä South pole |
op_rights |
Creative Commons Namensnennung – Nicht kommerziell – Keine Bearbeitungen 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/deed.de |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.5445/ir/1000099372 |
_version_ |
1766197814284517376 |