Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter

Chen, Bin; Wang, Pengyuan; Wang, Shaoqiang; Ju, Weimin; Liu, Zhenhai; Zhang, Yinghui

doi:10.1016/j.ecolmodel.2022.110212

Cited by 9 publications

(9 citation statements)

References 47 publications

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“…Indeed, multiyear observations of ecosystem COS fluxes are only available at two sites, Harvard Forest in the United States with 2 years (2012–2013) of measurements and Hyytiälä Forest in Finland with 5 years (2013–2017) of measurements. So far, two studies have used COS flux measurements to directly constrain parameters related to COS and GPP in LSMs (Chen et al., 2023; Cho et al., 2023). Chen et al.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al. (2023) focused on optimizing two parameters in the Boreal Ecosystem Productivity Simulator (BEPS) LSM at these two sites, one parameter related to the carboxylation rate of the Rubisco enzyme, which is also involved in vegetation COS uptake representation, and another parameter specific to the vegetation COS model. The impacts of other physiological parameters on the simulated ecosystem COS flux and GPP remain largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, multiyear observations of ecosystem COS fluxes are only available at two sites, Harvard Forest in the United States with 2 years (2012)(2013) of measurements and Hyytiälä Forest in Finland with 5 years (2013)(2014)(2015)(2016)(2017) of measurements. So far, two studies have used COS flux measurements to directly constrain parameters related to COS and GPP in LSMs (Chen et al, 2023;Cho et al, 2023). Chen et al (2023) focused on optimizing two parameters in the Boreal Ecosystem Productivity Simulator (BEPS) LSM at these two sites, one parameter related to the carboxylation rate While vegetation uptake is the largest COS sink, several sinks and sources also contribute to the global COS budget (Whelan et al, 2018).…”

mentioning

confidence: 99%

“…So far, two studies have used COS flux measurements to directly constrain parameters related to COS and GPP in LSMs (Chen et al, 2023;Cho et al, 2023). Chen et al (2023) focused on optimizing two parameters in the Boreal Ecosystem Productivity Simulator (BEPS) LSM at these two sites, one parameter related to the carboxylation rate While vegetation uptake is the largest COS sink, several sinks and sources also contribute to the global COS budget (Whelan et al, 2018). Soils can absorb COS because soil microorganisms contain CA and other COS hydrolases (Masaki et al, 2021), or emit COS due to microbial or abiotic COS production (Whelan et al, 2018).…”

mentioning

confidence: 99%

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Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations

et al. 2023

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Gross primary production (GPP) by boreal forests is highly sensitive to environmental changes. However, GPP simulated by land surface models (LSMs) remains highly uncertain due to the lack of direct photosynthesis observations at large scales. Carbonyl sulfide (COS) has emerged as a promising proxy to improve the representation of GPP in LSMs. Because COS is absorbed by vegetation following the same diffusion pathway as CO2 during photosynthesis and not emitted back to the atmosphere, incorporating a mechanistic representation of vegetation COS uptake in LSMs allows using COS observations to refine GPP representation. Here, we perform ecosystem COS flux and GPP data assimilations to constrain the COS‐ and GPP‐related parameters in the ORCHIDEE LSM for boreal evergreen needleleaf forests (BorENF). Assimilating ecosystem COS fluxes at Hyytiälä forest increases the simulated net ecosystem COS uptake by 14%. This increase largely results from changes in the internal conductance to COS, highlighting the need to improve the representation of COS internal diffusion and consumption. Moreover, joint assimilation of ecosystem COS flux and GPP at Hyytiälä improves the simulated latent heat flux, contrary to the GPP‐only data assimilation, which fails to do so. Finally, we scaled this assimilation framework up to the boreal region and find that the joint assimilation of COS at Hyytiälä and GPP fluxes at 10 BorENF sites increases the modeled vegetation COS uptake up to 18%, but not GPP. Therefore, this study encourages the use of COS flux observations to inform GPP and latent heat flux representations in LSMs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations

et al. 2023

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“…Indeed, multiyear observations of ecosystem COS fluxes are only available at two sites, Harvard Forest in the United States with 2 years (2012)(2013) of measurements and Hyytiälä Forest in Finland with 5 years (2013)(2014)(2015)(2016)(2017) of measurements. So far, two studies have used COS flux measurements to directly constrain parameters related to COS and GPP in LSMs (Chen et al, 2023;Cho et al, 2023). Chen et al (2023) focused on optimizing two parameters in the Boreal Ecosystem Productivity Simulator (BEPS) LSM at these two sites, one parameter related to the carboxylation rate of the Rubisco enzyme, which is also involved in vegetation COS uptake representation, and another parameter specific to the vegetation COS model.…”

Section: Introductionmentioning

confidence: 99%

Carbon and water fluxes of the boreal evergreen needleleaf forest biome constrained by assimilating ecosystem carbonyl sulfide flux observations

Abadie

Maignan

Remaud

et al. 2023

Preprint

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Boreal forests absorb a significant amount of atmospheric CO2 through gross primary production (GPP), representing about 20% of the global GPP. However, direct observations of GPP over the whole boreal region are not available as plant photosynthetic rate cannot be measured at scales larger than the leaf scale. At large scales, Land Surface Models (LSMs) can simulate GPP but the lack of direct GPP measurements makes it challenging to evaluate and improve the GPP representation in LSMs. In addition, boreal forests are highly sensitive to environmental changes, impacting gas exchanges and leading to high uncertainties in GPP estimates simulated by LSMs or obtained from data driven methods. Carbonyl sulfide (COS) has emerged as a promising proxy to infer GPP estimates or to better constrain GPP representation in LSMs. Because COS is absorbed by vegetation following the same diffusion pathway as CO2 during photosynthesis and not emitted back to the atmosphere, implementing a mechanistic representation of vegetation COS uptake in LSMs allows using COS data to constrain GPP representation. In this study, we performed ecosystem COS flux and GPP assimilations to constrain the COS and GPP related parameters in the ORCHIDEE LSM. We focused on Hyyti&#228;l&#228; forest, where the longest time-series of ecosystem COS flux measurements was reported. We found that assimilating ecosystem COS fluxes increases the estimated net ecosystem COS uptake by 14%. However, a persistent underestimation of the ecosystem COS flux seasonal amplitude after data assimilation points towards structural errors in the COS model, possibly related to COS internal conductance representation. In comparison with an assimilation of GPP only, adding ecosystem COS flux assimilation leads to a stronger reduction in the stomatal conductance, highlighting the potential of COS to inform stomatal diffusion. Consequently, including COS data in the assimilations also impacts the resulting latent heat flux and water use efficiency. Finally, we scaled up this assimilation framework to the boreal region and found that the joint assimilation of COS and GPP fluxes increased the modeled vegetation COS uptake up to 18%, but not the GPP budget. This contrasts with previous inversion studies that simultaneously increase vegetation COS uptake and GPP budgets based on a linear relationship relating the two.&#160;

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Joint identification of contaminant source and dispersion coefficients based on multi-observed reconstruction and ensemble Kalman filtering

Jing,

Kong,

Pan

et al. 2024

Stoch Environ Res Risk Assess

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Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter

Cited by 9 publications

References 47 publications

Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations

Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations

Carbon and water fluxes of the boreal evergreen needleleaf forest biome constrained by assimilating ecosystem carbonyl sulfide flux observations

Joint identification of contaminant source and dispersion coefficients based on multi-observed reconstruction and ensemble Kalman filtering

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