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Introducing a Nested Exposure Model for organic contaminants (NEM): Part 1. The physical environment.

Breivik, Knut; Eckhardt, Sabine; Krogseth, Ingjerd Sunde; MacLeod, M.; Wania, F.

2019

Top-down estimates of N2O emissions over the past two decades

Thompson, Rona Louise; Lassaletta, Luis; Patra, Prabir; Wilson, C.; Wells, Kelley C.; Gressent, Alicia; Koffi, Ernest; Chipperfield, M. P; Winiwarter, Wilfried; Davidson, E. A.; Tian, H.; Canadell, P.

2019

Low-cost air quality sensors and their use for urban-scale modelling

Schneider, Philipp; Liu, Hai-Ying; Castell, Nuria; Hamer, Paul David; Vogt, Matthias; Dauge, Franck Rene; Bartonova, Alena

2019

HepG2 liver spheroids: promising advanced in vitro model for toxicity testing

Elje, Elisabeth; Dusinska, Maria; Mariussen, Espen; Hesler, M.; Kohl, Y.; Wagner, Sylvia; Moriones, Oscar H.; Bastus, Neus G.; Puntes, Victor; Rundén-Pran, Elise

2019

Neurotoxicology

Mariussen, Espen

2019

Correction to Negligible Impact of ingested microplastics on tissueconcentrations of persistent organic pollutants in Northern Fulmars of coastal Norway

Herzke, Dorte; Anker-Nilssen, Tycho; Nøst, Therese Haugdahl; Götsch, Arntraut; Christensen-Dalsgaard, Signe; Langset, Magdalene; Fangel, Kirstin; Koelmans, Albert A.

2019

Sandra skal ta fluorjukserne på skistadion

Schlabach, Martin (intervjuobjekt); Krokfjord, Torgeir; Rasmussen, John; Oksnes, Bernt Jakob; Gedde-Dahl, Siri; Langsem, Bjørn (journalister)

2019

Toxic effects and characterization of gunshot fumes from different ammunitions for small arms.

Mariussen, Espen; Fjellbø, Lise Marie; Frømyr, Tomas Roll; Johnsen, Ida Vaa; Voie, Øyvind Albert

2019

Quality assurance and quality control procedure for national and Union GHG projections 2019

Schmid, Carmen; Rodrigo, Paula Ruiz; Dauwe, Tom; Brook, Rosie; Forster, Hannah; Gores, Sabine; Bouman, Evert; Abbasi, Golnoush; Sporer, Melanie; Jozwicka, Magdalena

The quality assurance and quality control (QA/QC) procedure is an element of the QA/QC programme of the Union system for policies and measures and projections to be established in 2019 according to Article 12 of the MMR. The European Environment Agency (EEA) is responsible for the annual implementation of the QA/QC procedures and is assisted by the European Topic Centre on Climate change mitigation and energy (ETC/CME). The QA/QC procedure document describes QA/QC checks carried out at EU level on the national reported projections from Member States and on the compiled Union GHG projections. QA/QC procedures are performed at several different stages during the preparation of the national and Union GHG projections in order to aim to ensure the timeliness, transparency, accuracy, consistency, comparability and completeness of the reported information. The results of the 2019 QA/QC procedure are presented in the related paper ETC/CME Eionet Report 2019/6.

ETC/CME

2019

Analysis of Member States’ 2019 GHG projections

Schmid, Carmen; Rodrigo, Paula Ruiz; Abbasi, Golnoush; Bouman, Evert; Brook, Rosie; Capizzi, Filippo; Dauwe, Tom; Jozwicka, Magdalena

This report provides a summary of the quality analysis of the EU Member States’ submission under Article 14 of the Monitoring Mechanism Regulation (MMR) in 2019. Under this obligation EU Member States have to submit updated GHG projections and related information biennially. The reported information undergoes several phases of QA/QC checks consisting of checks on timeliness, accuracy, completeness, consistency and comparability. In addition this report shows the results of a screening of the model factsheets as reported by the Member States. Details on the underlying QA/QC procedure are described in ETC/CME Eionet Report 2019/7.

ETC/CME

2019

Technical note: Reanalysis of Aura MLS chemical observations

Errera, Quentin; Chabrillat, Simon; Christophe, Yves; Debosscher, Jonas; Hubert, Daan; Lahoz, William A.; Santee, Michelle L.; Shiotani, Masato; Skachko, Sergey; von Clarmann, Thomas; Walker, Kaley A.

This paper presents a reanalysis of the atmospheric chemical composition from the upper troposphere to the lower mesosphere from August 2004 to December 2017. This reanalysis is produced by the Belgian Assimilation System for Chemical ObsErvations (BASCOE) constrained by the chemical observations from the Microwave Limb Sounder (MLS) on board the Aura satellite. BASCOE is based on the ensemble Kalman filter (EnKF) method and includes a chemical transport model driven by the winds and temperature from the ERA-Interim meteorological reanalysis. The model resolution is 3.75∘ in longitude, 2.5∘ in latitude and 37 vertical levels from the surface to 0.1 hPa with 25 levels above 100 hPa. The outputs are provided every 6 h. This reanalysis is called BRAM2 for BASCOE Reanalysis of Aura MLS, version 2.

Vertical profiles of eight species from MLS version 4 are assimilated and are evaluated in this paper: ozone (O3), water vapour (H2O), nitrous oxide (N2O), nitric acid (HNO3), hydrogen chloride (HCl), chlorine oxide (ClO), methyl chloride (CH3Cl) and carbon monoxide (CO). They are evaluated using independent observations from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS), the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), the Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) and N2O observations from a different MLS radiometer than the one used to deliver the standard product and ozonesondes. The evaluation is carried out in four regions of interest where only selected species are evaluated. These regions are (1) the lower-stratospheric polar vortex where O3, H2O, N2O, HNO3, HCl and ClO are evaluated; (2) the upper-stratospheric–lower-mesospheric polar vortex where H2O, N2O, HNO3 and CO are evaluated; (3) the upper troposphere–lower stratosphere (UTLS) where O3, H2O, CO and CH3Cl are evaluated; and (4) the middle stratosphere where O3, H2O, N2O, HNO3, HCl, ClO and CH3Cl are evaluated.

In general BRAM2 reproduces MLS observations within their uncertainties and agrees well with independent observations, with several limitations discussed in this paper (see the summary in Sect. 5.5). In particular, ozone is not assimilated at altitudes above (i.e. pressures lower than) 4 hPa due to a model bias that cannot be corrected by the assimilation. MLS ozone profiles display unphysical oscillations in the tropical UTLS, which are corrected by the assimilation, allowing a good agreement with ozonesondes. Moreover, in the upper troposphere, comparison of BRAM2 with MLS and independent observations suggests a positive bias in MLS O3 and a negative bias in MLS H2O. The reanalysis also reveals a drift in MLS N2O against independent observations, which highlights the potential use of BRAM2 to estimate biases between instruments. BRAM2 is publicly available and will be extended to assimilate MLS observations after 2017.

2019

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

Seabirds as indicators of distribution, trends and population level effects of plastics in the Arctic marine environment. Workshop Report

Dehnhard, Nina; Herzke, Dorte; Gabrielsen, Geir W.; Anker-Nilssen, Tycho; Ask, Amalie; Christensen-Dalsgaard, Signe; Descamps, Sebastien; Hallanger, Ingeborg G.; Hanssen, Sveinn Are; Langset, Magdalene; Monclús, Laura; O'Hanlon, Nina; Reiertsen, Tone Kristin; Strøm, Hallvard

Plastic pollution is a global and increasing threat to ecosystems. Plastics in the oceans are unevenly distributed, are transported by currents and can now be found in the most remote environments, including Arctic sea ice. The entanglement of wildlife by large plastic debris such as ropes is an obvious and well documented threat. However, the risks associated with the ingestion of smaller plastic particles, including microplastics (< 5mm) have been largely overlooked. Recent studies show that microplastic accumulates in the food web. Even in the Arctic and the deep sea, fish frequently contain microplastics in their guts. This, together with the fact that small microplastic particles can pass from the gut into blood and organs and also leach associated toxic additives raises health concerns for wildlife that ingest microplastic.

Within the North Atlantic, plastic ingestion in seabirds has been studied systematically only in the northern fulmar (Fulmarus glacialis), for which plastic particles > 1mm found in the stomachs of dead (beached or bycaught) birds are quantified. With the origin of these birds being unknown, it is, however, impossible to assess how plastics affect populations even of this one monitored species, let alone for other seabird species that differ in their foraging behaviour and risk to ingest plastics.

This report sums up the results of a workshop which aimed to identify possibilities for long-term monitoring of (micro-) plastic ingestion by seabirds in the framework of SEAPOP, the basal programme monitoring the performance of Norwegian seabird populations (www.seapop.no). The key conclusions were: 1) There is a need for baseline information on plastic ingestion across all seabird species to identify which species and populations are most suitable for monitoring. To obtain this information, the best approach is to investigate the stomach contents of dead birds (i.e. comparable methodology across all species). For long-term monitoring, not only species with high plastic ingestion are of interest, but also those with low plastic prevalence. 2) In the absence of information from (1), eight species that are complementary in their foraging behaviour and have a wide distribution range were selected as preliminary species of interest to monitor plastic ingestion. 3) For minimally invasive monitoring, regurgitates, fresh prey items and faeces are most suitable; 4) More information on prevalence of plastic ingestion is needed to identify optimal sample sizes for long-term monitoring. We therefore highlight the need for several pilot studies before establishing a plastic monitoring protocol within SEAPOP.

Norsk institutt for naturforskning (NINA)

2019

Turbulent dispersion observed during the COMTESSA artificial release experiments

Dinger, Anna Solvejg; Stebel, Kerstin; Cassiani, Massimo; Ardeshiri, Hamidreza; Bernardo, Cirilo; Kylling, Arve; Park, Soon-Young; Pisso, Ignacio; Schmidbauer, Norbert; Stohl, Andreas

2019

Bruk av fjernmålinger for overvåkning av luft og atmosfære, muligheter og begrensninger

Aas, Wenche; Stebel, Kerstin; Schneider, Philipp; Evangeliou, Nikolaos; Svendby, Tove Marit; Berglen, Tore Flatlandsmo; Myhre, Cathrine Lund; Kylling, Arve; Pisso, Ignacio; Fjæraa, Ann Mari

2019

2019

Effects of grid resolution on Large eddy simulation of plume dispersion in a neutral boundary layer

Ardeshiri, Hamidreza; Park, Soon-Young; Cassiani, Massimo; Stohl, Andreas; Stebel, Kerstin; Pisso, Ignacio; Dinger, Anna Solvejg

2019

Effects of grid resolution, source size and source elevation on large eddy simulation of plume dispersion in an infinite-Re neutral boundary layer

Ardeshiri, Hamidreza; Cassiani, Massimo; Park, Soon-Young; Stohl, Andreas; Stebel, Kerstin; Pisso, Ignacio; Dinger, Anna Solvejg; Kylling, Arve; Schmidbauer, Norbert

2019

On the convergence and capability of large eddy simulation of passive plumes concentration fluctuations in an infinite-Re neutral boundary layer

Ardeshiri, Hamidreza; Cassiani, Massimo; Park, Soon-Young; Stohl, Andreas; Stebel, Kerstin; Pisso, Ignacio; Dinger, Anna Solvejg

2019

Towards a temporally and spatially resolved Nested Exposure Model for organic contaminants in Arctic ecosystems

Krogseth, Ingjerd Sunde; Breivik, Knut; Eckhardt, Sabine; MacLeod, M.; Wania, F.

2019

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