the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?
Abstract. Over the past few decades, ozone risk assessments for vegetation have been developed based on stomatal O3 flux since this metric is more biologically meaningful than the traditional concentration-based approaches. However, uncertainty remains in the ability to simulate stomatal O3 fluxes accurately. Here, we investigate stomatal O3 fluxes simulated by six common air pollution deposition models across various land cover types worldwide. The Tropospheric Ozone Assessment Report (TOAR) database, a large collection of measurements worldwide, provides hourly O3 concentration and meteorological data which are used to drive the models at 9 sites. The models estimated summertime O3 deposition velocities of between 0.5–0.8 cm s-1, mostly in agreement with the literature. Simulations of canopy conductance (Gst) showed differences between models that varied by land cover type with correlation coefficients of 0.75, 0.80 and 0.85 for forests, crops and grasslands. The model differences were determined by especially soil moisture and VPD depending upon the model constructs. Finally, the range of PODy simulations at each site across models was most in agreement for crops (3 to 11 mmol O3 m-2) < forests (10 to 23 mmol O3 m-2) < grasslands (24 to 26 mmol O3 m-2). Nevertheless, ensemble model median response estimates gave results consistent with the literature in terms of those sites where O3 damage is most likely to occur. Overall, this study is an important first step in developing and evaluating tools for broad-scale assessment of O3 impact on vegetation within the framework of TOAR phase II.
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Status: closed
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RC1: 'Comment on egusphere-2025-429', Anonymous Referee #1, 20 Mar 2025
Dear authors,
all the comments about your paper are in the attached pdf file.
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AC1: 'Reply on RC1', Tamara Emmerichs, 02 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-429/egusphere-2025-429-AC1-supplement.pdf
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AC1: 'Reply on RC1', Tamara Emmerichs, 02 Jun 2025
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RC2: 'Comment on egusphere-2025-429', Anonymous Referee #2, 12 May 2025
General assessment:
This well-written and timely study evaluates the capacity of six widely used ozone deposition models to simulate stomatal O₃/fluxes across various global land cover types. The manuscript contributes to the Tropospheric Ozone Assessment Report (TOAR-II) community effort by assessing model behaviour under standardised conditions. It also explores both inter-model variability and sensitivity to key drivers. The study is particularly relevant for improving global ozone risk assessments and advancing vegetation impact modelling. The integration of FLUXNET and SynFlux observational constraints is commendable, and the structured multi-experiment framework is a strong point of the manuscript. That said, several aspects require clarification, particularly around the interpretation of model differences, treatment of uncertainties, and consistency in terminology and figures.
Major comments:
Clarity on Model-Observation Agreement:
The evaluation of modelled Gst against SynFlux-derived values is informative, but the conclusions could be more precise. It's difficult to assess which model(s) perform best consistently across sites. A summary table with performance metrics for each site and model would strengthen this section.
Consider providing a visual summary (e.g. radar plot or heatmap) comparing model agreement with observations across all evaluated metrics.
Treatment of Uncertainty:
While uncertainty is addressed via sensitivity experiments and ensemble medians, explicit ranges or confidence intervals for key outputs (e.g., PODy estimates) across models would be useful.
Given this variability, how robust are the conclusions regarding PODy differences across land cover types?
PODy Thresholds and Flux-Response Relationships:
The thresholds used for PODy calculation (e.g., 1 nmol m²s¹ for forests) are stated clearly, but are any species-specific or site-specific adaptations made? The text could benefit from a brief reflection on the limitations of using fixed thresholds across diverse vegetation.
Figures and Data Presentation:
Figures 3–6 are central to the conclusions, but they are visually dense due to the number of sites and models. Consider moving some detailed seasonal panels to the Supplement and simplifying the main figures.
Minor Comments:
Ensure consistent use of chemical notation: Use subscript formatting (e.g., O₃, CO₂) where possible. Standardize units throughout the text and figures (e.g., "mmol O₃ m⁻²" vs "mmol O3 m-2", "cm s⁻¹" vs "cm/s").
In multiple places, “sunlit” is referred to (e.g., Fst, sun, Gsun). Define these variables clearly in the main text, not just in figure captions or formulas.
Figures 3, 4: Increase font size in legends and axes for readability.
Figure 7–9: Consider sorting or grouping sites by land cover or latitude for more straightforward interpretation.
Table 4: Clarify whether VCmax values refer to standardised temperature conditions (25°C). Also, state if values are per sunlit leaf area or total canopy.
Avoid overly long sentences, e.g. lines 66–68, which span several embedded clauses. Break these into two sentences for readability.
Citation: https://doi.org/10.5194/egusphere-2025-429-RC2 -
AC2: 'Reply on RC2', Tamara Emmerichs, 02 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-429/egusphere-2025-429-AC2-supplement.pdf
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AC2: 'Reply on RC2', Tamara Emmerichs, 02 Jun 2025
Status: closed
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RC1: 'Comment on egusphere-2025-429', Anonymous Referee #1, 20 Mar 2025
Dear authors,
all the comments about your paper are in the attached pdf file.
-
AC1: 'Reply on RC1', Tamara Emmerichs, 02 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-429/egusphere-2025-429-AC1-supplement.pdf
-
AC1: 'Reply on RC1', Tamara Emmerichs, 02 Jun 2025
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RC2: 'Comment on egusphere-2025-429', Anonymous Referee #2, 12 May 2025
General assessment:
This well-written and timely study evaluates the capacity of six widely used ozone deposition models to simulate stomatal O₃/fluxes across various global land cover types. The manuscript contributes to the Tropospheric Ozone Assessment Report (TOAR-II) community effort by assessing model behaviour under standardised conditions. It also explores both inter-model variability and sensitivity to key drivers. The study is particularly relevant for improving global ozone risk assessments and advancing vegetation impact modelling. The integration of FLUXNET and SynFlux observational constraints is commendable, and the structured multi-experiment framework is a strong point of the manuscript. That said, several aspects require clarification, particularly around the interpretation of model differences, treatment of uncertainties, and consistency in terminology and figures.
Major comments:
Clarity on Model-Observation Agreement:
The evaluation of modelled Gst against SynFlux-derived values is informative, but the conclusions could be more precise. It's difficult to assess which model(s) perform best consistently across sites. A summary table with performance metrics for each site and model would strengthen this section.
Consider providing a visual summary (e.g. radar plot or heatmap) comparing model agreement with observations across all evaluated metrics.
Treatment of Uncertainty:
While uncertainty is addressed via sensitivity experiments and ensemble medians, explicit ranges or confidence intervals for key outputs (e.g., PODy estimates) across models would be useful.
Given this variability, how robust are the conclusions regarding PODy differences across land cover types?
PODy Thresholds and Flux-Response Relationships:
The thresholds used for PODy calculation (e.g., 1 nmol m²s¹ for forests) are stated clearly, but are any species-specific or site-specific adaptations made? The text could benefit from a brief reflection on the limitations of using fixed thresholds across diverse vegetation.
Figures and Data Presentation:
Figures 3–6 are central to the conclusions, but they are visually dense due to the number of sites and models. Consider moving some detailed seasonal panels to the Supplement and simplifying the main figures.
Minor Comments:
Ensure consistent use of chemical notation: Use subscript formatting (e.g., O₃, CO₂) where possible. Standardize units throughout the text and figures (e.g., "mmol O₃ m⁻²" vs "mmol O3 m-2", "cm s⁻¹" vs "cm/s").
In multiple places, “sunlit” is referred to (e.g., Fst, sun, Gsun). Define these variables clearly in the main text, not just in figure captions or formulas.
Figures 3, 4: Increase font size in legends and axes for readability.
Figure 7–9: Consider sorting or grouping sites by land cover or latitude for more straightforward interpretation.
Table 4: Clarify whether VCmax values refer to standardised temperature conditions (25°C). Also, state if values are per sunlit leaf area or total canopy.
Avoid overly long sentences, e.g. lines 66–68, which span several embedded clauses. Break these into two sentences for readability.
Citation: https://doi.org/10.5194/egusphere-2025-429-RC2 -
AC2: 'Reply on RC2', Tamara Emmerichs, 02 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2025/egusphere-2025-429/egusphere-2025-429-AC2-supplement.pdf
-
AC2: 'Reply on RC2', Tamara Emmerichs, 02 Jun 2025
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