Global modelling of soil carbonyl sulfide exchanges

Camille Abadie; Fabienne Maignan; Marine Remaud; Jerome Ogee; J. Elliott Campbell; Mary E. Whelan; Florian Kitz; Felix M. Spielmann; Georg Wohlfahrt; Richard Wehr; Wu Sun; Nina Raoult; Ulli Seibt; Didier Hauglustaine; Sinikka T. Lennartz; Sauveur Belviso; David Montagne; Philippe Peylin

doi:10.5194/bg-19-2427-2022

Global modelling of soil carbonyl sulfide exchanges

Camille Abadie, Fabienne Maignan, Marine Remaud, Jerome Ogee, J. Elliott Campbell, Mary E. Whelan, Florian Kitz, Felix M. Spielmann, Georg Wohlfahrt, Richard Wehr, Wu Sun, Nina Raoult, Ulli Seibt, Didier Hauglustaine, Sinikka T. Lennartz, Sauveur Belviso, David Montagne, Philippe Peylin

Research output: Contribution to journal › Article › peer-review

Abstract

Carbonyl sulfide (COS) is an atmospheric trace gas of interest for C cycle research because COS uptake by continental vegetation is strongly related to terrestrial gross primary productivity (GPP), the largest and most uncertain flux in atmospheric CO2 budgets. However, to use atmospheric COS as an additional tracer of GPP, an accurate quantification of COS exchange by soils is also needed. At present, the atmospheric COS budget is unbalanced globally, with total COS flux estimates from oxic and anoxic soils that vary between -409 and -89gGgSgyr-1. This uncertainty hampers the use of atmospheric COS concentrations to constrain GPP estimates through atmospheric transport inversions. In this study we implemented a mechanistic soil COS model in the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) land surface model to simulate COS fluxes in oxic and anoxic soils. Evaluation of the model against flux measurements at seven sites yields a mean root mean square deviation of 1.6gpmolgm-2gs-1, instead of 2gpmolgm-2gs-1 when using a previous empirical approach that links soil COS uptake to soil heterotrophic respiration. However, soil COS model evaluation is still limited by the scarcity of observation sites and long-term measurement periods, with all sites located in a latitudinal band between 39 and 62g gN and no observations during wintertime in this study. The new model predicts that, globally and over the 2009-2016 period, oxic soils act as a net uptake of -126gGgSgyr-1 and anoxic soils are a source of +96gGgSgyr-1, leading to a global net soil sink of only -30gGgSgyr-1, i.e. much smaller than previous estimates. The small magnitude of the soil fluxes suggests that the error in the COS budget is dominated by the much larger fluxes from plants, oceans, and industrial activities. The predicted spatial distribution of soil COS fluxes, with large emissions from oxic (up to 68.2gpmol COSgm-2gs-1) and anoxic (up to 36.8gpmol COSgm-2gs-1) soils in the tropics, especially in India and in the Sahel region, marginally improves the latitudinal gradient of atmospheric COS concentrations, after transport by the LMDZ (Laboratoire de Meteorologie Dynamique) atmospheric transport model. The impact of different soil COS flux representations on the latitudinal gradient of the atmospheric COS concentrations is strongest in the Northern Hemisphere. We also implemented spatiotemporal variations in near-ground atmospheric COS concentrations in the modelling of biospheric COS fluxes, which helped reduce the imbalance of the atmospheric COS budget by lowering soil COS uptake by 10g% and plant COS uptake by 8g% globally (with a revised mean vegetation budget of -576gGgSgyr-1 over 2009-2016). Sensitivity analyses highlighted the different parameters to which each soil COS flux model is the most responsive, selected in a parameter optimization framework. Having both vegetation and soil COS fluxes modelled within ORCHIDEE opens the way for using observed ecosystem COS fluxes and larger-scale atmospheric COS mixing ratios to improve the simulated GPP, through data assimilation techniques.

Original language	American English
Pages (from-to)	2427-2463
Number of pages	37
Journal	Biogeosciences
Volume	19
Issue number	9
DOIs	https://doi.org/10.5194/bg-19-2427-2022
State	Published - May 11 2022
Externally published	Yes

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Earth-Surface Processes

Access to Document

10.5194/bg-19-2427-2022

Cite this

Abadie, C., Maignan, F., Remaud, M., Ogee, J., Campbell, J. E., Whelan, M. E., Kitz, F., Spielmann, F. M., Wohlfahrt, G., Wehr, R., Sun, W., Raoult, N., Seibt, U., Hauglustaine, D., Lennartz, S. T., Belviso, S., Montagne, D., & Peylin, P. (2022). Global modelling of soil carbonyl sulfide exchanges. Biogeosciences, 19(9), 2427-2463. https://doi.org/10.5194/bg-19-2427-2022

@article{7babbb211db64951a52ec2280b742f34,

title = "Global modelling of soil carbonyl sulfide exchanges",

abstract = "Carbonyl sulfide (COS) is an atmospheric trace gas of interest for C cycle research because COS uptake by continental vegetation is strongly related to terrestrial gross primary productivity (GPP), the largest and most uncertain flux in atmospheric CO2 budgets. However, to use atmospheric COS as an additional tracer of GPP, an accurate quantification of COS exchange by soils is also needed. At present, the atmospheric COS budget is unbalanced globally, with total COS flux estimates from oxic and anoxic soils that vary between -409 and -89gGgSgyr-1. This uncertainty hampers the use of atmospheric COS concentrations to constrain GPP estimates through atmospheric transport inversions. In this study we implemented a mechanistic soil COS model in the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) land surface model to simulate COS fluxes in oxic and anoxic soils. Evaluation of the model against flux measurements at seven sites yields a mean root mean square deviation of 1.6gpmolgm-2gs-1, instead of 2gpmolgm-2gs-1 when using a previous empirical approach that links soil COS uptake to soil heterotrophic respiration. However, soil COS model evaluation is still limited by the scarcity of observation sites and long-term measurement periods, with all sites located in a latitudinal band between 39 and 62g gN and no observations during wintertime in this study. The new model predicts that, globally and over the 2009-2016 period, oxic soils act as a net uptake of -126gGgSgyr-1 and anoxic soils are a source of +96gGgSgyr-1, leading to a global net soil sink of only -30gGgSgyr-1, i.e. much smaller than previous estimates. The small magnitude of the soil fluxes suggests that the error in the COS budget is dominated by the much larger fluxes from plants, oceans, and industrial activities. The predicted spatial distribution of soil COS fluxes, with large emissions from oxic (up to 68.2gpmol COSgm-2gs-1) and anoxic (up to 36.8gpmol COSgm-2gs-1) soils in the tropics, especially in India and in the Sahel region, marginally improves the latitudinal gradient of atmospheric COS concentrations, after transport by the LMDZ (Laboratoire de Meteorologie Dynamique) atmospheric transport model. The impact of different soil COS flux representations on the latitudinal gradient of the atmospheric COS concentrations is strongest in the Northern Hemisphere. We also implemented spatiotemporal variations in near-ground atmospheric COS concentrations in the modelling of biospheric COS fluxes, which helped reduce the imbalance of the atmospheric COS budget by lowering soil COS uptake by 10g% and plant COS uptake by 8g% globally (with a revised mean vegetation budget of -576gGgSgyr-1 over 2009-2016). Sensitivity analyses highlighted the different parameters to which each soil COS flux model is the most responsive, selected in a parameter optimization framework. Having both vegetation and soil COS fluxes modelled within ORCHIDEE opens the way for using observed ecosystem COS fluxes and larger-scale atmospheric COS mixing ratios to improve the simulated GPP, through data assimilation techniques.",

author = "Camille Abadie and Fabienne Maignan and Marine Remaud and Jerome Ogee and Campbell, {J. Elliott} and Whelan, {Mary E.} and Florian Kitz and Spielmann, {Felix M.} and Georg Wohlfahrt and Richard Wehr and Wu Sun and Nina Raoult and Ulli Seibt and Didier Hauglustaine and Lennartz, {Sinikka T.} and Sauveur Belviso and David Montagne and Philippe Peylin",

year = "2022",

month = may,

day = "11",

doi = "10.5194/bg-19-2427-2022",

language = "American English",

volume = "19",

pages = "2427--2463",

journal = "Biogeosciences",

issn = "1726-4170",

publisher = "European Geosciences Union",

number = "9",

}

TY - JOUR

T1 - Global modelling of soil carbonyl sulfide exchanges

AU - Abadie, Camille

AU - Maignan, Fabienne

AU - Remaud, Marine

AU - Ogee, Jerome

AU - Campbell, J. Elliott

AU - Whelan, Mary E.

AU - Kitz, Florian

AU - Spielmann, Felix M.

AU - Wohlfahrt, Georg

AU - Wehr, Richard

AU - Sun, Wu

AU - Raoult, Nina

AU - Seibt, Ulli

AU - Hauglustaine, Didier

AU - Lennartz, Sinikka T.

AU - Belviso, Sauveur

AU - Montagne, David

AU - Peylin, Philippe

PY - 2022/5/11

Y1 - 2022/5/11

N2 - Carbonyl sulfide (COS) is an atmospheric trace gas of interest for C cycle research because COS uptake by continental vegetation is strongly related to terrestrial gross primary productivity (GPP), the largest and most uncertain flux in atmospheric CO2 budgets. However, to use atmospheric COS as an additional tracer of GPP, an accurate quantification of COS exchange by soils is also needed. At present, the atmospheric COS budget is unbalanced globally, with total COS flux estimates from oxic and anoxic soils that vary between -409 and -89gGgSgyr-1. This uncertainty hampers the use of atmospheric COS concentrations to constrain GPP estimates through atmospheric transport inversions. In this study we implemented a mechanistic soil COS model in the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) land surface model to simulate COS fluxes in oxic and anoxic soils. Evaluation of the model against flux measurements at seven sites yields a mean root mean square deviation of 1.6gpmolgm-2gs-1, instead of 2gpmolgm-2gs-1 when using a previous empirical approach that links soil COS uptake to soil heterotrophic respiration. However, soil COS model evaluation is still limited by the scarcity of observation sites and long-term measurement periods, with all sites located in a latitudinal band between 39 and 62g gN and no observations during wintertime in this study. The new model predicts that, globally and over the 2009-2016 period, oxic soils act as a net uptake of -126gGgSgyr-1 and anoxic soils are a source of +96gGgSgyr-1, leading to a global net soil sink of only -30gGgSgyr-1, i.e. much smaller than previous estimates. The small magnitude of the soil fluxes suggests that the error in the COS budget is dominated by the much larger fluxes from plants, oceans, and industrial activities. The predicted spatial distribution of soil COS fluxes, with large emissions from oxic (up to 68.2gpmol COSgm-2gs-1) and anoxic (up to 36.8gpmol COSgm-2gs-1) soils in the tropics, especially in India and in the Sahel region, marginally improves the latitudinal gradient of atmospheric COS concentrations, after transport by the LMDZ (Laboratoire de Meteorologie Dynamique) atmospheric transport model. The impact of different soil COS flux representations on the latitudinal gradient of the atmospheric COS concentrations is strongest in the Northern Hemisphere. We also implemented spatiotemporal variations in near-ground atmospheric COS concentrations in the modelling of biospheric COS fluxes, which helped reduce the imbalance of the atmospheric COS budget by lowering soil COS uptake by 10g% and plant COS uptake by 8g% globally (with a revised mean vegetation budget of -576gGgSgyr-1 over 2009-2016). Sensitivity analyses highlighted the different parameters to which each soil COS flux model is the most responsive, selected in a parameter optimization framework. Having both vegetation and soil COS fluxes modelled within ORCHIDEE opens the way for using observed ecosystem COS fluxes and larger-scale atmospheric COS mixing ratios to improve the simulated GPP, through data assimilation techniques.

AB - Carbonyl sulfide (COS) is an atmospheric trace gas of interest for C cycle research because COS uptake by continental vegetation is strongly related to terrestrial gross primary productivity (GPP), the largest and most uncertain flux in atmospheric CO2 budgets. However, to use atmospheric COS as an additional tracer of GPP, an accurate quantification of COS exchange by soils is also needed. At present, the atmospheric COS budget is unbalanced globally, with total COS flux estimates from oxic and anoxic soils that vary between -409 and -89gGgSgyr-1. This uncertainty hampers the use of atmospheric COS concentrations to constrain GPP estimates through atmospheric transport inversions. In this study we implemented a mechanistic soil COS model in the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) land surface model to simulate COS fluxes in oxic and anoxic soils. Evaluation of the model against flux measurements at seven sites yields a mean root mean square deviation of 1.6gpmolgm-2gs-1, instead of 2gpmolgm-2gs-1 when using a previous empirical approach that links soil COS uptake to soil heterotrophic respiration. However, soil COS model evaluation is still limited by the scarcity of observation sites and long-term measurement periods, with all sites located in a latitudinal band between 39 and 62g gN and no observations during wintertime in this study. The new model predicts that, globally and over the 2009-2016 period, oxic soils act as a net uptake of -126gGgSgyr-1 and anoxic soils are a source of +96gGgSgyr-1, leading to a global net soil sink of only -30gGgSgyr-1, i.e. much smaller than previous estimates. The small magnitude of the soil fluxes suggests that the error in the COS budget is dominated by the much larger fluxes from plants, oceans, and industrial activities. The predicted spatial distribution of soil COS fluxes, with large emissions from oxic (up to 68.2gpmol COSgm-2gs-1) and anoxic (up to 36.8gpmol COSgm-2gs-1) soils in the tropics, especially in India and in the Sahel region, marginally improves the latitudinal gradient of atmospheric COS concentrations, after transport by the LMDZ (Laboratoire de Meteorologie Dynamique) atmospheric transport model. The impact of different soil COS flux representations on the latitudinal gradient of the atmospheric COS concentrations is strongest in the Northern Hemisphere. We also implemented spatiotemporal variations in near-ground atmospheric COS concentrations in the modelling of biospheric COS fluxes, which helped reduce the imbalance of the atmospheric COS budget by lowering soil COS uptake by 10g% and plant COS uptake by 8g% globally (with a revised mean vegetation budget of -576gGgSgyr-1 over 2009-2016). Sensitivity analyses highlighted the different parameters to which each soil COS flux model is the most responsive, selected in a parameter optimization framework. Having both vegetation and soil COS fluxes modelled within ORCHIDEE opens the way for using observed ecosystem COS fluxes and larger-scale atmospheric COS mixing ratios to improve the simulated GPP, through data assimilation techniques.

UR - http://www.scopus.com/inward/record.url?scp=85130248114&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85130248114&partnerID=8YFLogxK

U2 - 10.5194/bg-19-2427-2022

DO - 10.5194/bg-19-2427-2022

M3 - Article

SN - 1726-4170

VL - 19

SP - 2427

EP - 2463

JO - Biogeosciences

JF - Biogeosciences

IS - 9

ER -

Global modelling of soil carbonyl sulfide exchanges

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this