Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties

Bossioli, E.; Sotiropoulou, Georgia; Methymaki, Georgia; Tombrou, M.

doi:10.1029/2020jd033291

Cited by 11 publications

(5 citation statements)

References 121 publications

(223 reference statements)

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“…On the contrary, studies of summer events are limited, although the presence of sunlight in this season makes climate implications even more complex (Tjernström et al, 2019;You et al, 2021). Recently, a few studies reported a correlation between pollution transport to the Arctic with warm-air intrusion based on the analysis of single events in summer and late spring (Bossioli et al, 2021;Dada et al, 2022). Our results verified the consistency of such pattern with longer time series and highlighted the need to further investigate the implications of warm-air intrusion in the warm periods, when background aerosol concentration is lower and these events can alter substantially aerosol population climate-relevant properties (Dada et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Drivers controlling black carbon temporal variability in the Arctic lower troposphere

Gilardoni

Heslin-Rees

Mazzola

et al. 2023

Preprint

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Abstract. Black carbon (BC) is a short-lived climate forcer affecting Arctic climate through multiple mechanisms, which vary substantially from winter to summer. Several models still fail in reproducing BC seasonal variability, limiting the ability to fully describe BC climate implications. This study aims at gaining insights into the mechanisms controlling BC transport from lower latitudes to the Arctic lower troposphere. Here we investigate the drivers controlling black carbon daily and seasonal variability in the Arctic using Generalized Additive Models (GAM). We analysed equivalent black carbon (eBC) concentration measured at the Gruvebadet Atmospheric Laboratory (GAL - Svalbard archipelago) from March 2018 to December 2021. The eBC showed a marked seasonality with higher values in winter and early spring. The eBC concentration averaged 22 ± 20 ng m-3 in the cold season (November–April) and 11 ± 11 ng m-3 in the warm season (May–October). The seasonal and interannual variability was mainly modulated by the efficiency of wet scavenging removal during transport towards the higher latitudes. Conversely, the short-term variability was controlled by boundary layer dynamics, local-scale, and synoptic-scale circulation patterns. During both the cold and the warm season, the transport of air masses from western Europe and northern Russia was an effective pathway for the convey of pollution to the European Arctic. Finally, in the warm season we observed a link between the intrusion of warm air from lower latitudes and the increase in eBC concentration. Changes in synoptic scale circulation system and precipitation rate in the northern hemisphere, linked to climate change, are expected to modify BC burden in the Arctic.

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Section: Discussionmentioning

confidence: 99%

Drivers controlling black carbon temporal variability in the Arctic lower troposphere

Gilardoni

Heslin-Rees

Mazzola

et al. 2023

Preprint

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“…Biogenic emissions are calculated online with the MEGAN module (Guenther et al 2006) while the initial and boundary conditions for gases and aerosols come from simulation of CAM-chem in CESM2.0 (Emmons et al 2020). For the other physical parameterizations and information on natural and fire emissions, the reader is referred to the setup of Bossioli et al (2021).…”

Section: Wrf-chem Operated By Nkuamentioning

confidence: 99%

Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies

Bessagnet,

Cuvelier,

de Meij

et al. 2023

Air Qual Atmos Health

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The sensitivity of air quality model responses to modifications in input data (e.g. emissions, meteorology and boundary conditions) or model configurations is recognized as an important issue for air quality modelling applications in support of air quality plans. In the framework of FAIRMODE (Forum of Air Quality Modelling in Europe, https://fairmode.jrc.ec.europa.eu/) a dedicated air quality modelling exercise has been designed to address this issue. The main goal was to evaluate the magnitude and variability of air quality model responses when studying emission scenarios/projections by assessing the changes of model output in response to emission changes. This work is based on several air quality models that are used to support model users and developers, and, consequently, policy makers. We present the FAIRMODE exercise and the participating models, and provide an analysis of the variability of O3 and PM concentrations due to emission reduction scenarios. The key novel feature, in comparison with other exercises, is that emission reduction strategies in the present work are applied and evaluated at urban scale over a large number of cities using new indicators such as the absolute potential, the relative potential and the absolute potency. The results show that there is a larger variability of concentration changes between models, when the emission reduction scenarios are applied, than for their respective baseline absolute concentrations. For ozone, the variability between models of absolute baseline concentrations is below 10%, while the variability of concentration changes (when emissions are similarly perturbed) exceeds, in some instances 100% or higher during episodes. Combined emission reductions are usually more efficient than the sum of single precursor emission reductions both for O3 and PM. In particular for ozone, model responses, in terms of linearity and additivity, show a clear impact of non-linear chemistry processes. This analysis gives an insight into the impact of model’ sensitivity to emission reductions that may be considered when designing air quality plans and paves the way of more in-depth analysis to disentangle the role of emissions from model formulation for present and future air quality assessments.

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“…Such observations indicate both the long‐range transport and local supply of aerosol over the Arctic. The combination of natural and anthropogenic BB sources can have a strong effect on cloud properties and the radiation budget (Bossioli et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses

Yamagami,

Kajino,

Maki

et al. 2023

JGR Atmospheres

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Atmospheric aerosol affects the radiation budget, cloud cover and properties, and surface albedo of sea ice and snow over the Arctic with obvious climatological significance. However, observations are scarce and have large uncertainties. Aerosol optical depth (AOD) variability in the Arctic and its relationship with atmospheric disturbances on synoptic timescales were investigated on the basis of the JRAero, CAMSRA, and MERRA2 reanalyses. Total AODs of the three reanalyses were spatiotemporally consistent in summer, although contributions of individual aerosol species differed. Summertime AOD variability was strongly correlated with observations in all reanalyses. The predominance of organic carbon aerosol indicates that aerosols are derived mainly from biomass burning over northern Eurasia and northern North America. Differences in composites of atmospheric fields between high‐ and low‐loading days indicate that locations of synoptic disturbances are related to high‐AOD events in the Arctic. Furthermore, empirical orthogonal function analysis indicates that the first‐ and second‐largest AOD variabilities in synoptic timescales occur over northern Eurasia. This AOD variability is related to two different types of Arctic cyclone, the development of which is important in aerosol transport, aging, and deposition in summer.

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Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties

Cited by 11 publications

References 121 publications

Drivers controlling black carbon temporal variability in the Arctic lower troposphere

Drivers controlling black carbon temporal variability in the Arctic lower troposphere

Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies

Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses

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