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EVDC.

Fjæraa, A.M.; Boyd, I.; Espe, T.

2016

Evidence for a recurring eastern North America upper tropospheric ozone maximum during summer.

Cooper, O. R.; Trainer, M.; Thompson, A.M.; Oltmans, S.J.; Tarasick, D.W.; Witte, J.C.; Stohl, A.; Eckhardt, S.; Lelieveld, J.; Portmann, R.; Johnson, B.J.; Kalnajs, L.; Newchurch, M.J.; Dubey, M.K.; Meagher, J.; Leblanc, T.; McDermid, I.S.; Forbes, G.; Carey-Smith, T.; Wolfe, D.; Carey-Smith, T.; Wolfe, D.; Fehsenfeld, F.C.; Morris, G.A.; Lefer, B.; Rappenglück, B.; Keating, T.J.; Joseph, E.; Minschwaner, K.; Schmidlin, F.; Van Curen, R.A.

2007

Evidence for a recurring eastern North America upper tropospheric ozone maximum during summer.

Cooper, O. R.; Trainer, M.; Thompson, A.M.; Oltmans, S.J.; Tarasick, D.W.; Witte, J.C.; Stohl, A.; Eckhardt, S.; Lelieveld, J.; Newchurch, M.J.; Johnson, B.J.; Kalnajs, L.; Dubey, M.K.; Leblanc, T.; McDermid, I.S.; Forbes, G.; Wolfe, D.; Carey-Smith, T.; Morris, G.A.; Lefer, B.; Rappenglück, B.; Joseph, E.; Schmidlin, F.; Meagher, J.; Fehsenfeld, F.C.; Keating, T.J.; Van Curen, R.A.; Minschwaner, K.

2007

Evidence for large average concentrations of the nitrate radical (NO3) in Western Europe from the HANSA hydrocarbon database.

Penkett, S.A.; Burgess, R.A.; Coe, H.; Coll, I.; Hov, Ø.; Lindskog, A.; Schmidbauer, N.; Solberg, S.; Roemer, M.; Thijsse, T.; Beck, J.; Reeves, C.E.

2007

Evidence for long-range transport of North American anthropogenic and wildfire emissions to Europe from airborne and ground based lidar measurements during European ITOP (IGAC Lagrangian 2K4, ICARTT.

Law, K.; Schlager, H.; Real, E.; Ancellet, G.; Huntrieser, H.; Petzold, A.; Haeffelin, M.; Pietras, C.; Nedelec, P.; Stohl, A.; Methven, J.; Arnold, S.; Parrish, D.; Ryerson, T.; Lewis, A.; Avery, M.; Sachse, G.; Arnold, F.; Spidel, M.; Fischer, H.; Gurck, C.; Mihalopoulos, N.

2005

Evidence for major emissions of PCBs in the West African region.

Gioia, L.; Eckhardt, S.; Breivik, K.; Jaward, F.; Prieto, A.; Nizzetto, L.; Jones, K.C.

2011

Evidence for the uptake of atmospheric acetone and methanol by the Arctic Ocean during late summer DMS-Emission plumes.

Sjostedt, S.J.; Leaitch, W.R.; Levasseur, M.; Scarratt, M.; Michaud, S.; Motard-Côté, J.; Burkhart, J.H.; Abbatt, J.P.D.

2012

Evidence from firn air for recent decreases in non-methane hydrocarbons and a 20th century increase in nitrogen oxides in the northern hemisphere.

Worton, D.R.; Sturges, W.T.; Reeves, C.E.; Newland, M.J.; Penkett, S.A.; Atlas, E.; Stroud, V.; Johnson, K.; Schmidbauer, N.; Solberg, S.; Schwander, J.; Barnola, J.-M.

2012

Evidence of major emissions of polychlorinated biphenyls (PCBs) and polynuclear aromatic hydrocarbons (PAHs) in the West African region. NILU F

Gioia, R.; Nizzetto, L.; Jaward, F.; Prieto, A.; Breivik, K.; Eckhardt, S.; Jones, K.C.

2010

Evolution of Near‐Term Atmospheric Methane and Associated Temperature Response Under the Global Methane Pledge: Insights From an Earth System Model

Abstract Methane is a powerful greenhouse gas with a shorter lifetime than carbon dioxide (CO 2 ), making it an important target for near‐term climate action. The Global Methane Pledge (GMP) aims to cut anthropogenic methane emissions by 30% from 2020 levels by 2030. Using an Earth system model with interactive CH 4 sources and sinks, we assess the Pledge's impact through 2050. Results show that current GMP commitments deliver only a 10% cut by 2030—well below the target. Only the maximum technically feasible reduction (MTFR) pathway can achieve the 30% goal. By 2050, current GMP commitments lowers methane concentrations by 3% relative to 2025, while MTFR achieves 8%. Both pathways slow warming slightly, avoiding about 0.1°C of global temperature rise, with the Arctic seeing the greatest benefits (up to 2°C less warming). Without wider participation, the GMP with current signatories will fall short of its targets and Paris Agreement goals.

2026

Evolution of NOx emissions in Europe with focus on road transport control measures.

Vestreng, V.; Ntziachristos, L.; Semb, A.; Reis, S.; Isaksen, I.S.A.; Tarrasón, L.

2009

Evolution of semi-volatile organic compounds (SVOCs) in surface snow. Poster presentation. NILU F

Villa, S.V.; Herbert, B.M.J.; Halsall, C.J.; Thomas, G.O.; Jones, K.C.; Kallenborn, R.

2004

Evoluzione della contaminazione da composti organici semivolatili (SVOC) in campioni di neve fresca. NILU F

Villa, S.; Herbert, B.M.J.; Halsall, C.J.; Thomas, G.O.; Jones, K.C.; Kallenborn, R.

2004

Evolving trends in application of low-cost air quality sensor networks: challenges and future directions

Abstract Low-cost air quality sensors (LCS) are increasingly used to complement traditional air quality monitoring yet concerns about their accuracy and fitness-for-purpose persist. This scoping review investigates topics, methods, and technologies in the application of LCS networks in recent years that are gaining momentum, focusing on LCS networks (LCSN) operation, drone-based and mobile monitoring, data fusion/assimilation, and community engagement. We identify several key challenges remaining. A major limitation is the absence of unified performance metrics and cross-validation methods to compare different LCSN calibration and imputation techniques and meta-analyses. LCSN still face challenges in effectively sharing and interpreting data due to a lack of common protocols and standardized definitions, which can hinder collaboration and data integration across different systems. In mobile monitoring, LCS siting, orientation, and platform speed are challenges to data consistency of different LCS types and limit the transferability of static calibration models to mobile settings. For drone-based monitoring, rotor downwash, LCS placement, flight pattern, and environmental variability complicate accurate measurements. In integrating LCS data with air quality models or data assimilation, realistic uncertainty quantification, ideally at the individual measurement level, remains a major obstacle. Finally, citizen science initiatives often encounter motivational, technological, economic, societal, and regulatory barriers that hinder their scalability and long-term impact.

2025

Exceptional high AOD over Svalbard in summer 2019: a multi-instrumental approach

In the summer of 2019, the Arctic region registered exceptionally high aerosol optical depth (AOD) values over Svalbard, linked to intense biomass burning (BB) and volcanic activity across the Northern Hemisphere. This study presents a comprehensive, multi-instrumental analysis of the aerosol conditions in and around Ny-Ålesund (Spitsbergen, Norway), combining data from ground-based sun-photometry, in-situ observations, active remote sensing (ground-based and on satellite), and atmospheric dispersion modelling (FLEXPART). Despite high AOD was observed during all the period, three different aerosol events are identified in the atmospheric column (6–10 July, 25–28 July, and 6–17 August). In contrast, in-situ surface stations only recorded significant aerosol load during 5–9 July, 30 August, and 12 September, suggesting that most of the aerosol particles remained above the boundary layer. Lidar and photometric observations revealed the presence of spherical, weakly absorbing Accumulation-mode particles (with effective radii between 0.1 and 0.2 µm) in both the troposphere and stratosphere, with persistent layers extending above 10 km. Simulations carried out with FLEXPART correlate well with the measurements, attributing the observed aerosol events to multiple sources, including Siberian and North American wildfires, the Raikoke (Russia) volcanic eruption, and anthropogenic pollution. While the simulations show a contribution from volcanic aerosols, the contribution from biomass-burning aerosols in the upper troposphere and lower stratosphere were likely more significant under the atmospheric conditions of summer 2019. Overall, the aerosol radiative impact during this long-lasting event was substantial, with a mean reduction in direct solar radiation of approximately −74 W m−2 during July and August. This work shows how the use of dispersion modelling together with multiple observation sources allows to achieve a more complete description of the atmospheric aerosol events and contributes to a better understanding of the overall picture.

2026

Exercises for the VAST demonstration volcanic ash forecast system.

Arnold, D.; Bialek, J.; O'Dowd, C.; Kristiansen, N.I.; Martin, D.; Maurer, C.; Miklos, E.; Prata, F.; Radulescu, R.; Sollum, E.; Sofiev, M.; Stebel, K.; Stohl, A.; Vira, J.; Wotawa, G.

2014

Expanding collaboration in Joint OSSEs.

Masutani, M.; Errico, R.; Schlatter, T.W.; Woollen, J.S.; Xie, Y.; Zhu, T.; Prive, N.; Yang, R.; Riishojgaard, L.P.; Stoffelen, A.; Marseille, G.-J.; Andersson, E.; Weng, F.; Kleespies, T.J.; Reale, O.; Emmitt, G.D.; Greco, S.; Wood, S.A.; Hill, C.; Anantharaj, V.; Fitzpatrick, P.; Fan, X.; Pryor, H.; Salmon, E.; Liu, H.-C.; Sienkiewicz, M.,Silva, A. da, Sun, H.; Song, Y.; Govett, M.; Pu, Z.; Cucurull, L.; Lord, S.J.; Devenyi, D.; Birkenheuer, D.L.; Jung, T.; Thompkins, A.; Groff, D.; Kleist, D.; Treadon, R.; Fielding, K.; Lahoz, W.; Brin, E.; Toth, Z.; Sato, Y.; Hu, M.; Weygandt, S.; McGill, M.J.; Miyosh, T.; Enomoto, T.; Watanabe, M.; Koyama, H.; Rochen, Y.; Seablom, M.; Hauss, B.I.; Burn, R.; Higgins, G.; Atlas, R.; Koch, S.; Wang, H.; Chen, Y.; Huang, X.-Y.

2009

Expectations of Future Natural Hazards in Human Adaptation to Concurrent Extreme Events in the Colorado River Basin

Human adaptation to climate change is the outcome of long-term decisions continuously made and revised by local communities. Adaptation choices can be represented by economic investment models in which the often large upfront cost of adaptation is offset by the future benefits of avoiding losses due to future natural hazards. In this context, we investigate the role that expectations of future natural hazards have on adaptation in the Colorado River basin of the USA. We apply an innovative approach that quantifies the impacts of changes in concurrent climate extremes, with a focus on flooding events. By including the expectation of future natural hazards in adaptation models, we examine how public policies can focus on this component to support local community adaptation efforts. Findings indicate that considering the concurrent distribution of several variables makes quantification and prediction of extremes easier, more realistic, and consequently improves our capability to model human systems adaptation. Hazard expectation is a leading force in adaptation. Even without assuming increases in exposure, the Colorado River basin is expected to face harsh increases in damage from flooding events unless local communities are able to incorporate climate change and expected increases in extremes in their adaptation planning and decision making.

2022

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