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Evaluating impacts of the Arctic sea ice loss and variation on the northern hemisphere climate

Koenigk, Torben; Gao, Yongqi; Gastineau, Guillaume; Keenlyside, Noel; Nakamura, Tetsu; Ogawa, Fumiaki; Orsolini, Yvan; Semenov, Vladimir; Suo, Lingling; Tian, Tian; Wang, Tao; Wettstein, Jonathan J.; Yang, Shuting

2018

Relationships between thyroid hormones and organohalogenated contaminants in White-tailed eagle nestlings

Løseth, Mari Engvig; Eggen, Grethe Stavik; Briels, Nathalie; Nygård, Torgeir; Johnsen, Trond Vidar; Bustnes, Jan Ove; Herzke, Dorte; Poma, Giulia; Malarvannan, Govindan; Covaci, Adrian; Jenssen, Bjørn Munro; Jaspers, Veerle

2018

Long term observations of carbonaceous aerosol at Birkenes

Yttri, Karl Espen; Platt, Stephen Matthew; Eckhardt, Sabine; Solberg, Sverre; Aas, Wenche

2018

The operational system for forecasting of volcanic ash in Norwegian air space

Fagerli, Hilde; Klein, Heiko; Nyiri, Agnes; Steensen, Birthe Marie Rødssæteren; Schulz, Michael; Mortier, Augustin; Borg, Anette Lauen; Bustamante, Alvaro Moises Valdebenito; Kristiansen, Nina Iren; Kylling, Arve; Sollum, Espen; Eckhardt, Sabine; Stohl, Andreas; Tørseth, Kjetil

2018

History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)

Prinn, Ronald G.; Weiss, Ray F.; Arduini, Jgor; Arnold, Tim; DeWitt, H. Langley; Fraser, Paul J.; Ganesan, Anita L.; Gasore, Jimmy; Harth, Christina M.; Hermansen, Ove; Kim, Jooil; Krummel, Paul B.; Li, Shanlan; Loh, Zöe M.; Lunder, Chris Rene; Maione, Michela; Manning, Alistair J.; Miller, Ben R.; Mitrevski, Blagoj; Muhle, Jens; O'Doherty, Simon; Park, Sunyoung; Reimann, Stefan; Rigby, Matt; Saito, Takuya; Salameh, Peter K.; Schmidt, Roland; Simmonds, Peter G.; Steele, L. Paul; Vollmer, Martin K.; Wang, Ray H.; Yao, Bo; Yokouchi, Yoko; Young, Dickon; Zhou, Lingxi

We present the organization, instrumentation, datasets, data interpretation, modeling, and accomplishments of the multinational global atmospheric measurement program AGAGE (Advanced Global Atmospheric Gases Experiment). AGAGE is distinguished by its capability to measure globally, at high frequency, and at multiple sites all the important species in the Montreal Protocol and all the important non-carbon-dioxide (non-CO2) gases assessed by the Intergovernmental Panel on Climate Change (CO2 is also measured at several sites). The scientific objectives of AGAGE are important in furthering our understanding of global chemical and climatic phenomena. They are the following: (1) to accurately measure the temporal and spatial distributions of anthropogenic gases that contribute the majority of reactive halogen to the stratosphere and/or are strong infrared absorbers (chlorocarbons, chlorofluorocarbons – CFCs, bromocarbons, hydrochlorofluorocarbons – HCFCs, hydrofluorocarbons – HFCs and polyfluorinated compounds (perfluorocarbons – PFCs), nitrogen trifluoride – NF3, sulfuryl fluoride – SO2F2, and sulfur hexafluoride – SF6) and use these measurements to determine the global rates of their emission and/or destruction (i.e., lifetimes); (2) to accurately measure the global distributions and temporal behaviors and determine the sources and sinks of non-CO2 biogenic–anthropogenic gases important to climate change and/or ozone depletion (methane – CH4, nitrous oxide – N2O, carbon monoxide – CO, molecular hydrogen – H2, methyl chloride – CH3Cl, and methyl bromide – CH3Br); (3) to identify new long-lived greenhouse and ozone-depleting gases (e.g., SO2F2, NF3, heavy PFCs (C4F10, C5F12, C6F14, C7F16, and C8F18) and hydrofluoroolefins (HFOs; e.g., CH2 = CFCF3) have been identified in AGAGE), initiate the real-time monitoring of these new gases, and reconstruct their past histories from AGAGE, air archive, and firn air measurements; (4) to determine the average concentrations and trends of tropospheric hydroxyl radicals (OH) from the rates of destruction of atmospheric trichloroethane (CH3CCl3), HFCs, and HCFCs and estimates of their emissions; (5) to determine from atmospheric observations and estimates of their destruction rates the magnitudes and distributions by region of surface sources and sinks of all measured gases; (6) to provide accurate data on the global accumulation of many of these trace gases that are used to test the synoptic-, regional-, and global-scale circulations predicted by three-dimensional models; and (7) to provide global and regional measurements of methane, carbon monoxide, and molecular hydrogen and estimates of hydroxyl levels to test primary atmospheric oxidation pathways at midlatitudes and the tropics. Network Information and Data Repository: http://agage.mit.edu/data or http://cdiac.ess-dive.lbl.gov/ndps/alegage.html (https://doi.org/10.3334/CDIAC/atg.db1001).

2018

Comparison of a new emission inventory for the Nordic countries and global inventories

Paunu, V.-V.; Karvosenoja, N.; Segersson, D.; Lopez-Aparicio, Susana; Nielsen, O. K.; Plejdrup, M. S.; Vo, Dam Thanh; Thorsteinsson, T.; Johansson, L.; Kupiainen, K.; Gon, H. Denier van der; Brandt, J.; Geels, C.

2018

Four years of NewRaptor: results from in ovo exposure in model species and field sampling in raptors

Briels, Nathalie; Ciesielski, Tomasz Maciej; Løseth, Mari Engvig; Jenssen, Bjørn Munro; Eulaers, I.; Sonne, C.; Nygård, Torgeir; Johnsen, Trond Vidar; Gómez-Ramírez, P.; Garcia-Fernandez, A.; Martinez, J.; Bustnes, Jan Ove; Poma, G.; Malarvannan, G.; Covaci, A.; Herzke, Dorte; Styrishave, B.; Jaspers, Veerle

2018

Luften vi puster

Grossberndt, Sonja; Liu, Hai-Ying

2018

Monitoring of the indoor environment of ESB laboratories with selected target and non-target screening methods

Bohlin-Nizzetto, Pernilla; Schlabach, Martin; Halse, Anne Karine; Rostkowski, Pawel Marian

2018

Temporal trends and spatial distribution of traace metals in mosses in Norway

Uggerud, Hilde Thelle; Steinnes, Eiliv; Pfaffhuber, Katrine Aspmo

2018

Global inter-comparison of polyurethane foam passive air samplers evaluating variability due to sampler design and analysis

Melymuk, L.; Bohlin-Nizzetto, Pernilla; Harner, T.; Klanova, J.; Arnador-Munoz, O.; Zuluaga, B. A.; Tominaga, M. Y.; Sweetman, Andrew J.; Jimenez, B.; Dreyer, A.; Odabasi, M.; He, J.; Ma, W.; Ma, J.; Zhang, G.; Mueller, J.; Paxman, C.; Wang, X.

2018

Environmental fate and bioaccumulation of cVMS in a subarctic freshwater lake

Krogseth, Ingjerd Sunde; Undeman, E.; Evenset, Anita; Christensen, G. N.; Whelan, M. J.; Breivik, Knut; Warner, Nicholas Alexander

2018

Chemical impacts of energetic particle precipitation in the middle atmosphere

Orsolini, Yvan; Smith-Johnsen, Christine; Marsh, Dan; Stordal, Frode

2018

Discrepancy between simulated and observed ethane and propane levels explained by underestimated fossil emissions

Dalsøren, Stig Bjørløw; Myhre, Gunnar; Hodnebrog, Øivind; Myhre, Cathrine Lund; Stohl, Andreas; Pisso, Ignacio; Schwietzke, Stefan; Höglund-Isaksson, Lena; Helmig, Detlev; Reimann, Stefan; Sauvage, Stéphane; Schmidbauer, Norbert; Read, Katie A.; Carpenter, Lucy J.; Lewis, Alastair C.; Punjabi, Shalini; Wallasch, Markus

2018

Recent Arctic ozone depletion: Is there an impact of climate change?

Pommereau, Jean-Pierre; Goutail, Florence; Pazmino, Andrea; Lefèvre, Franck; Chipperfield, Martyn P.; Feng, Wuhu; Roozendael, Michel van; Jepsen, Nis; Hansen, Georg; Kivi, Rigel; Bognar, Kristof; Strong, Kimberly; Walker, Kaley; Kuzmichev, Alexandr; Khattatov, Slava; Sitnikova, Vera

After the well-reported record loss of Arctic stratospheric ozone of up to 38% in the winter 2010–2011, further large depletion of 27% occurred in the winter 2015–2016. Record low winter polar vortex temperatures, below the threshold for ice polar stratospheric cloud (PSC) formation, persisted for one month in January 2016. This is the first observation of such an event and resulted in unprecedented dehydration/denitrification of the polar vortex. Although chemistry–climate models (CCMs) generally predict further cooling of the lower stratosphere with the increasing atmospheric concentrations of greenhouse gases (GHGs), significant differences are found between model results indicating relatively large uncertainties in the predictions. The link between stratospheric temperature and ozone loss is well understood and the observed relationship is well captured by chemical transport models (CTMs). However, the strong dynamical variability in the Arctic means that large ozone depletion events like those of 2010–2011 and 2015–2016 may still occur until the concentrations of ozone-depleting substances return to their 1960 values. It is thus likely that the stratospheric ozone recovery, currently anticipated for the mid-2030s, might be significantly delayed. Most important in order to predict the future evolution of Arctic ozone and to reduce the uncertainty of the timing for its recovery is to ensure continuation of high-quality ground-based and satellite ozone observations with special focus on monitoring the annual ozone loss during the Arctic winter.

2018

Atlantic multidecadal oscillation modulates the impacts of Arctic sea ice decline

Li, Fei; Orsolini, Yvan; Wang, Huijun; Gao, Yongqi; He, Shengping

2018

COST Action CA16109 COLOSSAL Chemical On-Line cOmpoSition and Source Apportionment of fine aerosoL

Minguillón, Maria Cruz; Prévôt, André; Riffault, Véronique; Favez, Olivier; Gilardoni, Stefania; Močnik, Griša; Platt, Stephen Matthew; Green, David; Ovadnevaite, Jurgita; Kasper-Giebl, Anne; Alastuey, Andrés; Marmureanu, Luminita; Eriksson, Axel; Sokolovic, Dunja; Team, The COLOSSAL

2018

Variability in Atmospheric Methane From Fossil Fuel and Microbial Sources Over the Last Three Decades

Thompson, Rona Louise; Nisbet, E. G.; Pisso, Ignacio; Stohl, Andreas; Blake, D.; Dlugokencky, E. J.; Helmig, D.; White, J. W. C.

Atmospheric measurements show an increase in CH4 from the 1980s to 1998 followed by a period of near‐zero growth until 2007. However, from 2007, CH4 has increased again. Understanding the variability in CH4 is critical for climate prediction and climate change mitigation. We examine the role of CH4 sources and the dominant CH4 sink, oxidation by the hydroxyl radical (OH), in atmospheric CH4 variability over the past three decades using observations of CH4, C2H6, and δ13CCH4 in an inversion. From 2006 to 2014, microbial and fossil fuel emissions increased by 36 ± 12 and 15 ± 8 Tg y−1, respectively. Emission increases were partially offset by a decrease in biomass burning of 3 ± 2 Tg y−1 and increase in soil oxidation of 5 ± 6 Tg y−1. A change in the atmospheric sink did not appear to be a significant factor in the recent growth of CH4.

2018

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