Influence of mountains on Arctic tropospheric ozone

Seabrook, J. A.; Whiteway, J.

doi:10.1002/2015jd024114

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…While this and previous work point towards ODEs being a surface-related process through the generation of reactive halogen species from sea-ice and snowpack mechanisms, the activation of halogen species on aerosol particles aloft has also been demonstrated (Bognar et al, 2020;Peterson et al, 2017;Seabrook and Whiteway, 2016;Solberg et al, 1996). A general feature of the distributions for ODEs and Non-ODEs when progressing from March to May is that trajectories spend increasingly less time above the mixed layer (Fig.…”

Section: Dynamics Of Odes In Relation To Meteorological Variables And...mentioning

confidence: 53%

On the dynamics of ozone depletion events at Villum Research Station in the High Arctic

Pernov,

Hjorth,

Sørensen

et al. 2024

Preprint

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Abstract. Ozone depletion events (ODEs) occur every spring in the Arctic and have implications for the atmospheric oxidizing capacity, radiative balance, and mercury oxidation. Here we comprehensively analyze ozone, ODEs, and their connection to meteorological and air mass history variables through statistical analyses, back-trajectories, and machine learning (ML) from observations at Villum Research Station, Station Nord, Greenland. We show that the ODE frequency and duration peak in May followed by April and March, which is likely related to air masses spending more time over sea ice and increases in radiation from March to May. Back-trajectories indicate that, as spring progresses, ODE air masses spend more time within the mixed layer and the geographic origins move closer to Villum. ODE frequency and duration are increasing during May (low confidence) and April (high confidence), respectively. Our analysis revealed that ODEs are favorable under sunny, calm conditions with air masses arriving from northerly wind directions with sea ice contact. The ML model was able to reproduce the ODE occurrence and illuminated that radiation, time over sea ice, and temperature were the most important variables for modeling ODEs during March, April, and May, respectively. Several variables displayed threshold ranges for contributing to the positive prediction of ODEs vs Non-ODEs, notably temperature, radiation, wind direction, time spent over sea ice, and snow. Our ML methodology provides a framework for investigating and comparing the environmental drivers of ODEs between different Arctic sites and can be applied to other atmospheric phenomena (e.g., atmospheric mercury depletion events).

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Section: Dynamics Of Odes In Relation To Meteorological Variables And...mentioning

confidence: 53%

On the dynamics of ozone depletion events at Villum Research Station in the High Arctic

Pernov,

Hjorth,

Sørensen

et al. 2024

Preprint

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“…Figure 2 shows the vertical extent of low O 3 episodes observed by lidar at Eureka in northern Canada. On 7 May, low O 3 concentrations were observed, and back trajectories showed that air masses came in from the ice-covered Arctic Ocean and had been in contact with the surface multiple times during the previous 6 d, whereas the concentrations were high on 9 May, when air came down from the mountains located to the south (Seabrook and Whiteway, 2016). Peterson et al (2018) showed that active halogen chemistry and related O 3 depletion can also occur up to 200 km inland over snow-covered tundra in Alaska.…”

Section: Ozone Sinksmentioning

confidence: 99%

Arctic tropospheric ozone: assessment of current knowledge and model performance

et al. 2023

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Abstract. As the third most important greenhouse gas (GHG) after carbon dioxide (CO2) and methane (CH4), tropospheric ozone (O3) is also an air pollutant causing damage to human health and ecosystems. This study brings together recent research on observations and modeling of tropospheric O3 in the Arctic, a rapidly warming and sensitive environment. At different locations in the Arctic, the observed surface O3 seasonal cycles are quite different. Coastal Arctic locations, for example, have a minimum in the springtime due to O3 depletion events resulting from surface bromine chemistry. In contrast, other Arctic locations have a maximum in the spring. The 12 state-of-the-art models used in this study lack the surface halogen chemistry needed to simulate coastal Arctic surface O3 depletion in the springtime; however, the multi-model median (MMM) has accurate seasonal cycles at non-coastal Arctic locations. There is a large amount of variability among models, which has been previously reported, and we show that there continues to be no convergence among models or improved accuracy in simulating tropospheric O3 and its precursor species. The MMM underestimates Arctic surface O3 by 5 % to 15 % depending on the location. The vertical distribution of tropospheric O3 is studied from recent ozonesonde measurements and the models. The models are highly variable, simulating free-tropospheric O3 within a range of ±50 % depending on the model and the altitude. The MMM performs best, within ±8 % for most locations and seasons. However, nearly all models overestimate O3 near the tropopause (∼300 hPa or ∼8 km), likely due to ongoing issues with underestimating the altitude of the tropopause and excessive downward transport of stratospheric O3 at high latitudes. For example, the MMM is biased high by about 20 % at Eureka. Observed and simulated O3 precursors (CO, NOx, and reservoir PAN) are evaluated throughout the troposphere. Models underestimate wintertime CO everywhere, likely due to a combination of underestimating CO emissions and possibly overestimating OH. Throughout the vertical profile (compared to aircraft measurements), the MMM underestimates both CO and NOx but overestimates PAN. Perhaps as a result of competing deficiencies, the MMM O3 matches the observed O3 reasonably well. Our findings suggest that despite model updates over the last decade, model results are as highly variable as ever and have not increased in accuracy for representing Arctic tropospheric O3.

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“…Currently, there are lidar stations operating worldwide that cover both the stratosphere-troposphere and the near-surface layer. Here, we will list a small number of lidars that are located in different parts of the globe: the Arctic Stratospheric Observatory (AS-trO), Canada [8]; Athens, Greece [9]; Beijing, China [10,11]; Eureka, Canada [12]; Goddard Space Flight Center (GSFC), United States [13,14]; Héféi, China [15,16]; Lauder, New Zealand [17]; Mauna-Loa (MLO), Hawaii, United States [18]; Maïdo Observatory, Reunion Island, France [19,20]; Observatoire de Haute Provence (OHP), France [21,22]; Tsukuba, Japan [23,24]; Troitsk, Russia [25]; the Table Mountain Facility (TMF), United States [26,27]; SLS or Tomsk, Russia [5,28]; Vladivostok, Russia [29]; and the Yangbajing Observatory, China [30]. All of these lidar systems, presented in Table 1, use stimulated Raman scattering (SRS) cells to obtain information-bearing wavelengths for ozone sensing.…”

Section: Introductionmentioning

confidence: 99%

Lidar Complex for Control of the Ozonosphere over Tomsk, Russia

Nevzorov,

Kharchenko

et al. 2024

Atmosphere

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We present a union of three measurement systems on the basis of the Siberian lidar station and mobile ozone lidar. The lidars are designed for studying the ozonosphere using the method of differential absorption and scattering, as well as for studying aerosol fields using elastic single scattering. The systems are constructed on the basis of Nd:YAG lasers (SOLAR) and an Nd:YAG laser (LOTIS TII), a XeCl laser (Lambda Physik) and receiving telescopes assembled using the Kassegrain system with a diameter 0.35 m and the Newtonian 0.5 m system. Lidars operate in photon-counting mode and record lidar signals with a spatial resolution from 1.5 m to 160 m at sensing wavelengths of 299/341 nm in the altitude range of ~0.1–12 km and ~5–20, and at 308/353 nm in the altitude range of ~15–45 km. The union of these three measurement systems was used to carry out field experiments of atmospheric lidar sensing in Tomsk and to present the results of retrieving the vertical profile of the ozone concentration. In this study, coverage of the entire ozonosphere by the lidars was carried out for the first time in Russia.

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Influence of mountains on Arctic tropospheric ozone

Cited by 8 publications

References 17 publications

On the dynamics of ozone depletion events at Villum Research Station in the High Arctic

On the dynamics of ozone depletion events at Villum Research Station in the High Arctic

Arctic tropospheric ozone: assessment of current knowledge and model performance

Lidar Complex for Control of the Ozonosphere over Tomsk, Russia

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