Ozone production in a maritime pine forest in water-stressed conditions

Kammer, Julien; Lamaud, Éric; Bonnefond, Jean-Marc; Garrigou, Didier; Flaud, Pierre‐Marie; Villenave, Éric

doi:10.1016/j.atmosenv.2018.10.021

Cited by 6 publications

(4 citation statements)

References 72 publications

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“…Another possibility is that NPF was initiated earlier in the air mass and had been transported to the FR-Gri-ICOS site later, meaning that the initial steps of NPF were missed. The sharp increase in the lowest particle mode was also reported for night-time events in a previous study, but this cannot be generalised to all NPF nighttime events, as only a few are reported in the literature (Kammer et al, 2018a).…”

Section: Npf Eventssupporting

confidence: 51%

“…deposition) or chemical sinks. As ozone surface deposition is mostly driven by turbulence (Kammer et al, 2018a;Potier et al, 2015), it cannot explain the lower O3 concentrations observed during NPF nights, as there was no difference in wind speed during these nights. We finally assume that lower O3, during NPF nights, implies a higher consumption by chemical reactions, potentially with NO2 that would support the importance of NO3 in NPF.…”

Section: Parameters Driving Night-time Npfmentioning

confidence: 93%

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New particle formation at a peri-urban agricultural site

Kammer

Simon

Ciuraru

et al. 2023

Science of The Total Environment

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Section: Npf Eventssupporting

confidence: 51%

Section: Parameters Driving Night-time Npfmentioning

confidence: 93%

New particle formation at a peri-urban agricultural site

Kammer

Simon

Ciuraru

et al. 2023

Science of The Total Environment

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“…This makes a strong case for additional measurements (e.g. Kammer et al, 2019;Li et al, 2018;Stella et al, 2011a), empirical studies (e.g. Ducker et al, 2018) and model-observation integrations (e.g.…”

Section: Discussionmentioning

confidence: 99%

Importance of Dry Deposition Parameterization Choice in Global Simulations of Surface Ozone

Wong¹,

Geddes²,

Tai³

et al. 2019

Preprint

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Abstract. Dry deposition is the second largest sink of tropospheric ozone. Increasing evidence has shown that ozone dry deposition actively links meteorology and hydrology with ozone air quality. However, there is little systematic investigation on the performance of different ozone dry deposition parameterizations at the global scale, and how parameterization choice can impact surface ozone simulations. Here we present the results of the first global, multi-decade modelling and evaluation of ozone dry deposition velocity (vd) using multiple ozone dry deposition parameterizations. We use consistent assimilated meteorology and satellite-derived leaf area index (LAI) to simulate vd over 1982&#8211;2011 driven by four sets of ozone dry deposition parametrization that are representative of the current approaches of global ozone dry deposition modelling, such that the differences in simulated vd are entirely due to differences in deposition model structures. In addition, we use the surface ozone sensitivity to vd predicted by a chemical transport model to estimate the impact of mean and variability of ozone dry deposition velocity on surface ozone. Our estimated vd from four different parameterizations are evaluated against field observations, and while performance varies considerably by land cover types, our results suggest that none of the parameterizations are universally better than the others. Discrepancy in simulated mean vd among the parameterizations is estimated to cause 2 to 5&#8201;ppbv of discrepancy in surface ozone in the Northern Hemisphere (NH) and up to 8&#8201;ppbv in tropical rainforest in July, and up to 8&#8201;ppbv in tropical rainforests and seasonally dry tropical forests in Indochina in December. Parameterization-specific biases based on individual land cover type and hydroclimate are found to be the two main drivers of such discrepancies. We find statistically significant trends in the multiannual time series of simulated July daytime vd in all parameterizations, driven by warming and drying (southern Amazonia, southern African savannah and Mongolia) or greening (high latitudes). The trends in July daytime vd is estimated to be 1&#8201;%&#8201;yr&#8722;1 and leads to up to 3&#8201;ppbv of surface ozone changes over 1982&#8211;2011. The interannual coefficient of variation (CV) of July daytime mean vd in NH is found to be 5&#8201;%&#8211;15&#8201;%, with spatial distribution that varies with the dry deposition parameterization. Our sensitivity simulations suggest this can contribute between 0.5 to 2&#8201;ppbv to interannual variability (IAV) in surface ozone, but all models tend to underestimate interannual CV when compared to long-term ozone flux observations. We also find that IAV in some dry deposition parameterizations are more sensitive to LAI while others are more sensitive to climate. Comparisons with other published estimates of the IAV of background ozone confirm that ozone dry deposition can be an important part of natural surface ozone variability. Our results demonstrate the importance of ozone dry deposition parameterization choice on surface ozone modelling, and the impact of IAV of vd on surface ozone, thus making a strong case for further measurement, evaluation and model-data integration of ozone dry deposition on different spatiotemporal scales.

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“…Considering terrestrial vegetation is one the largest sources of volatile organic compounds to the atmosphere (Misztal et al, 2015), there is a need to assess tree chemical responses to these environmental changes, and the connection between organism-level stress responses and broader atmosphere-scale studies. These responses are an instrumental gap between atmospheric chemistry and ecosystem studies (Kravitz et al, 2016), and can further the understanding of air pollution and ozone pollution that are linked to biogenic VOC emission (Kammer et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Great Basin Bristlecone Pine Volatiles as a Climate Change Signal Across Environmental Gradients

Gray

Runyon

Jenkins

2019

Front. For. Glob. Change

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Alpine treeline species, like Great Basin bristlecone pine (GBBP) (Pinus longaeva Bailey), have received attention for their potential as indicators of climate change. Most studies have focused on climate-induced changes to treeline position, but climate effects on the physiology and stress of treeline plants remain poorly understood. Volatile organic compounds (VOCs) could provide insights into plant responses to climate change since the quantity and blends of VOCs released by plants exhibit variation in response to the environment, and can convey detailed information about the status of the emitting plant. We collected and analyzed GBBP VOCs and within-needle chemistry along elevational gradients (lower treeline, upper treeline, and midway in between) near the northern and southern geographic limits of GBBP. Random Forest analysis distinguished elevation classes using VOCs with 83% accuracy and identified the compounds most important for classification. Ordination revealed that elevation, temperature, heat load index, and relative humidity were significantly correlated with VOCs. Within-needle chemistry provided less predictive value in classifying elevation class (73% accuracy) and was correlated only with elevation and heat load index. These findings suggest that GBBP VOCs are highly sensitive to the environment and could be used to assess and predict tree status and responses to environmental change. The potential effects of climate-and elevation-induced changes in GBBP chemistry on abiotic and biotic interactions are discussed.

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Ozone production in a maritime pine forest in water-stressed conditions

Cited by 6 publications

References 72 publications

New particle formation at a peri-urban agricultural site

New particle formation at a peri-urban agricultural site

Importance of Dry Deposition Parameterization Choice in Global Simulations of Surface Ozone

Great Basin Bristlecone Pine Volatiles as a Climate Change Signal Across Environmental Gradients

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