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What is the status of the Mediterranean Sea and its atmosphere? What has been learned from over-water intensive mercury measurements along 6000 km cruise path.

Pirrone, N.; Ammiraglia, L.; Breg, T.; Ceccarini, C.; Cipriani, F.; Costa, P.; Fajon, V.; Ferrara, Gardfeldt, K.; Gensini, M.; Horvat, M.; Kotnik, J.; Logar, M.; Mamane, Y.; Melamed, E.; Yossef, O.; Pesenti, E.; Sommar, J.; Sekkesæter, S.; Sprovieri, F.; Valdal, A.K.

2001

What makes a good OSSE? NILU F

Lahoz, W.A.

2012

What should we do while waiting for environmental pollutants to be banned?

Solbakken, Christine Forsetlund; Heimstad, Eldbjørg Sofie; Hanssen, Linda

2023

What we have learned in validating Aerosol_cci pixel level uncertainties?

Stebel, K.; Povey, A.; Popp, T.; Capelle, V.; Clarisse, L.; Heckel, A.; Kinne, S.; Klueser, L.; Kolmonen, P.; Kosmale, M.; de Leeuw, G.; North, P. R. J.; Pinnock, S.; Sogacheva, L.; Thomas, G.; Vandenbussche, S.

2017

Where are we in the definition of the optimal satellite instrument to measure ozone for air quality?

Attie, J.-L.; El Amraoui, L.; Lahoz, W.; Quesada, S.; Ricaud, P.; Zbinden, R.

2016

Where do contaminants in the Arctic come from? Meet the Nested Exposure Model.

Krogseth, Ingjerd Sunde; Breivik, Knut; Eckhardt, Sabine; Solbakken, Christine Forsetlund

2024

Where does mercury in the Arctic environment come from, and how does it get there?

Munthe, J.; Goodsite, M.; Berg, T.; Chételat, J.; Dastoor, A.; Douglas, T.; Durnford, D.; Goodsite, M.; Macdonald, R.; Muir, D.; Outridge, P.; Pacyna, J.; Ryzhkov, A.; Skov, H.; Steffen, A.; Sundseth, K.; Travnikov, O.; Wängberg, I.; Wilson, S.

2011

Where does the optically detectable aerosol in the European Arctic come from?

Stock, M.; Ritter, C.; Aaltonen, V.; Aas, W.; Handorff, D.; Herber, A.; Treffeisen, R.; Dethloff, K.

2014

White-Tailed Eagle (Haliaeetus albicilla) Body Feathers Document Spatiotemporal Trends of Perfluoroalkyl Substances in the Northern Environment

Sun, Jiachen; Bossi, Rossana; Bustnes, Jan Ove; Helander, Björn; Boertmann, David; Dietz, Rune; Herzke, Dorte; Jaspers, Veerle; Labansen, Aili Lage; Lepoint, Gilles; Schulz, Ralf; Sonne, Christian; Thorup, Kasper; Tøttrup, Anders; Zubrod, Jochen P.; Eens, Marcel; Eulaers, Igor

2019

White-tailed eagle (Haliaeetus albicilla) feathers from Norway are suitable for monitoring of legacy, but not emerging contaminants

Løseth, Mari Engvig; Briels, Nathalie; Flo, Jørgen; Malarvannan, Govindan; Poma, Giulia; Covaci, Adrian; Herzke, Dorte; Nygård, Torgeir; Bustnes, Jan Ove; Jenssen, Bjørn Munro; Jaspers, Veerle

While feathers have been successfully validated for monitoring of internal concentrations of heavy metals and legacy persistent organic pollutants (POPs), less is known about their suitability for monitoring ofemerging con- taminants (ECs). Our study presents a broad investigation ofboth legacy POPs and ECs in non-destructivematri- ces from a bird of prey. Plasma and feathers were sampled in 2015 and 2016 from 70 whitetailed eagle (Haliaeetus albicilla) nestlings from two archipelagos in Norway. Preen oil was also sampled in 2016. Samples were analysed for POPs (polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs) and organochlorinated pesticides (OCPs)) and ECs (per- and polyfluoroalkyl substances (PFASs), dechlorane plus (DPs), phosphate and novel brominated flame retardants (PFRs and NBFRs)). A total of nine PCBs, three OCPs, one PBDE and one PFAS were detected in over 50% of the plasma and feather samples within each sampling year and location. Significant and positive correlationswere found between plasma, feathers and preen oil concentrations of legacy POPs and confirm the findings ofprevious research on the usefulness of these matrices for non-destructive mon- itoring. In contrast, the suitability of feathers for ECs seems to be limited. Detection frequencies (DF) of PFASs were higher in plasma (mean DF: 78%) than in feathers (mean DF: 38%). Only perfluoroundecanoic acid could be quantified in over 50% ofboth plasma and feather samples, yet their correlation was poor and not significant. The detection frequencies of PFRs, NBFRs and DPs were very low in plasma (mean DF: 1–13%), compared to feathers (meanDF: 10–57%). Thismay suggest external atmospheric deposition, rapid internal biotransformation or excretion of these compounds. Accordingly, we suggest prioritising plasma for PFASs analyses, while the sources of PFRs, NBFRs and DPs in feathers and plasma need further investigation.

Elsevier

2018

Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5

Thunis, Philippe; Clappier, Alain; de Meij, Alexander; Pisoni, Enrico; Bessagnet, Bertrand; Tarrasón, Leonor

While the burden caused by air pollution in urban areas is well documented, the origin of this pollution and therefore the responsibility of the urban areas in generating this pollution are still a subject of scientific discussion. Source apportionment represents a useful technique to quantify the city's responsibility, but the approaches and applications are not harmonized and therefore not comparable, resulting in confusing and sometimes contradicting interpretations. In this work, we analyse how different source apportionment approaches apply to the urban scale and how their building elements and parameters are defined and set. We discuss in particular the options available in terms of indicator, receptor, source, and methodology. We show that different choices for these options lead to very large differences in terms of outcome. For the 150 large EU cities selected in our study, different choices made for the indicator, the receptor, and the source each lead to an average difference of a factor of 2 in terms of city contribution. We also show that temporal- and spatial-averaging processes applied to the air quality indicator, especially when diverging source apportionments are aggregated into a single number, lead to the favouring of strategies that target background sources while occulting actions that would be efficient in the city centre. We stress that methodological choices and assumptions most often lead to a systematic and important underestimation of the city's responsibility, with important implications. Indeed, if cities are seen as a minor actor, plans will target the background as a priority at the expense of potentially effective local actions.

2021

Why unprecedented ozone loss in the Arctic in 2011? Is it related to climate change?

Pommereau, J.-P.; Goutail, F.; Lefèvre, F.; Pazmino, A.; Adams, C.; Dorokhov, V.; Eriksen, P.; Kivi, R.; Stebel, K.; Zhao, X.; van Roozendael, M.

2013

Wide-scope Target and Nontarget Profiling of the Airborne Chemical Exposome using Polydimethylsiloxane (PDMS) Passive Samplers

Sunyer-Caldú, Adrià; Bonnefille, Bénilde; Fornaroli, Camille; Raptopoulou, Foteini; Pesquet, Edouard; Xie, Hongyu; Rian, May Britt; Lee, J. E.; Jeon, Y.; Kim, B.; Lee, S.-B.; Froment, Jean Francois; Papazian, Stefano; Martin, Jonathan W.

2024

Widespread Arctic lead pollution since 1000 BCE documents ancient and medieval European lead-silver smelting, major historical events, and northern-hemisphere Industrialization

Chellman, Nathan J; McConnell, Joseph R.; Wilson, Andrew; Stohl, Andreas; Arienzo, Monica M; Eckhardt, Sabine; Fritzsche, Diedrich; Kipfstuhl, Sepp; Opel, Thomas; Thompson, Elisabeth; Pollard, Mark; Place Jr, Philip; Steffensen, Jørgen Peder

2019

Widespread Pesticide Distribution in the European Atmosphere Questions their Degradability in Air

Mayer, Ludovic; Degrendele, Celine; Senk, Petr; Kohoutek, Jiří; Přibylovác, Petra; Kukučka, Petr; Melymuk, Lisa; Durand, Amandine; Ravier, Sylvain; Alastuey, Andres; Baker, Alex R.; Baltensperger, Urs; Baumann-Stanzer, Kathrin; Biermann, Tobias; Bohlin-Nizzetto, Pernilla; Ceburnis, Darius; Conil, Sébastien; Couret, Cedric; Degorska, Anna; Diapouli, Evangelia; Eckhardt, Sabine; Eleftheriadis, Konstantinos; Forster, Grant L.; Freier, Korbinian; Gheusi, Francois; Gini, Maria; Hellén, Heidi; Henne, Stephan; Hermann, Hartmut; Šmejkalová, Adéla Holubová; Horrak, Urmas; Hüglin, Christoph; Junninen, Heikki; Kristensson, Adam; Langrene, Laurent; Levula, Janne; Lothon, Marie; Ludewig, Elke; Makkonen, Ulla; Matejovičová, Jana; Mihalopoulos, Nikolaos; Mináriková, Veronika; Moche, Wolfgang; Noe, Steffen M.; Perez, Noemi; Petäjä, Tuukka; Pont, Veronique; Poulain, Laurent; Quivet, Etienne; Ratz, Gabriela; Rehm, Till; Reimann, Stefan; Simmons, Ivan; Sonke, Jeroen E.; Sorribas, Mar; Spoor, Ronald; Swart, Daan P.J.; Vasilatou, Vasiliki; Wortham, Henri; Yela, Margarita; Zarmpas, Pavlos; Zellweger-Fäsi, Claudia; Tørseth, Kjetil; Laj, Paolo G.; Klanova, Jana; Lammel, Gerhard

Risk assessment of pesticide impacts on remote ecosystems makes use of model-estimated degradation in air. Recent studies suggest these degradation rates to be overestimated, questioning current pesticide regulation. Here, we investigated the concentrations of 76 pesticides in Europe at 29 rural, coastal, mountain, and polar sites during the agricultural application season. Overall, 58 pesticides were observed in the European atmosphere. Low spatial variation of 7 pesticides suggests continental-scale atmospheric dispersal. Based on concentrations in free tropospheric air and at Arctic sites, 22 pesticides were identified to be prone to long-range atmospheric transport, which included 15 substances approved for agricultural use in Europe and 7 banned ones. Comparison between concentrations at remote sites and those found at pesticide source areas suggests long atmospheric lifetimes of atrazine, cyprodinil, spiroxamine, tebuconazole, terbuthylazine, and thiacloprid. In general, our findings suggest that atmospheric transport and persistence of pesticides have been underestimated and that their risk assessment needs to be improved.

2024

Wildfire smoke in the Siberian Arctic in summer: source characterization and plume evolution from airborne measurements.

Paris, J.-D.; Stohl, A.; Nédélec, P.; Arshinov, M.Y.; Panchenko, M.V.; Shmargunov, V.P.; Law, K.S.; Belan, B.D.; Ciais, P.

2009

Wildfires in northern Eurasia affect the budget of black carbon in the Arctic-a 12-year retrospective synopsis (2002-2013).

Evangeliou, N.; Balkanski, Y.; Hao, W. M.; Petkov, A.; Silverstein, R. P.; Corley, R.; Nordgren, B. L.; Urbanski, S. P.; Eckhardt, S.; Stohl, A.; Tunved, P.; Crepinsek, S.; Jefferson, A.; Sharma, S.; Nøjgaard, J. K.; Skov, H.

2016

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