Publications

Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling.

Bingen, C.; Robert, C. E.; Stebel, K.; Brühl, C.; Schallock, J.; Vanhellemont, F.; Mateshvili, N.; Höpfner, M.; Trickl, T.; Barnes, J. E.; Jumelet, J.; Vernier, J.-P.; Popp, T.; de Leeuw, G.; Pinnock, S.

Impact of dust deposition on the albedo of Vatnajokull ice cap, Iceland.

Wittmann, M.; Zwaaftink, C. D. G.; Steffensen Schmidt, L.; Guðmundsson, S.; Pálsson, F.; Arnalds, O.; Björnsson, H.; Thorsteinsson, T.; Stohl, A.

Atmospheric pollution in city centres and urban environments. The impact of scientific, regulatory and industrial progress.

Cincinelli, A.; Katsoyiannis, A.

Long term air quality trends in Europe. Contribution of meteorological variability, natural factors and emissions. ETC/ACM Technical Paper, 2016/7

Colette, A.; Solberg, S.; Beauchamp, M.; Bessagnet, B.; Malherbe, L.; Guerreiro, C.; The Eurodelta-Trends Modelling Team: Colette, A.; Couvidat, F.; Pay, M. T.; Tsyro, S.; Fagerli, H.; Wind, P.; Cuvelier, C.; Manders, A.; Andersson, A.; Bergström, R.; Mircea, M.; Briganti, G.; Cappelletti, A.; Adani, M.; D'Isidoro, M.; Raffort, V.; Mar, K. A.; Otero, N.; Ojha, N.

Johan Castberg oil field - Assessment of emissions to air. NILU rapport

Berglen, T. F.; Tønnesen, D.; Solberg, S.

The environmental impact of future emissions from activities at the Johan Castberg oil field has been investigated. Concerning emissions of CO2, CH4 og NMVOC, the total emissions rank Johan Castberg as a medium size field in Norway. For NOX and SOX, the environmental impact from deposition is considered to be small. Concerning formation of ozone from NOX emissions, the model estimates give an increase of N120 (number of days with 8-hrs running mean value higher than 120 µg/m3 ), up from 10 to 11. Effects of Black Carbon emissions from Johan Castberg is also estimated, and the climate impact is considered to be small.

Earth Observation in a climate perspective.

Fjæraa, A. M.

Duration and decay of extreme vortex events in the polar stratosphere: comparison of the ECMWF seasonal forecast model with re-analyses.

Orsolini, Y.

Direct and indirect electron precipitation effect on nitric oxide, using a full range energy spectrum.

Smith-Johnsen, C.; Tyssøy, H. N.; Hendrickx, K.; Orsolini, Y.; Kishore Kumar, G.; Ødegaaard, L.-K. G.; Stordal, F.; Megner, L.

Detection flying aircraft from Landsat 8 OLI data

Zhao, F.; Xia, L.; Kylling, Arve; Li, R. Q.; Shang, H.; Xu, Ming

Corticosterone and thyroid hormone status in White-tailed eagle nestlings in relation to organohalogenated contaminants

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

Monitor air quality yourself

Liu, Hai-Ying; Haugen, Rolf; Grossberndt, Sonja

Grouping approaches for nanomaterials based on oxidative stress responses

Giusti, Anna; Tsekovska, Rositsa; Ionita, Gabriela; Pietraforte, Donatella; Baron, Flavia; Mariussen, Espen; Rundén-Pran, Elise; Dusinska, Maria; Jacobsen, Nicklas Raun; Bahl, Aileen; Tanasescu, Speranta; Puzyn, Tomasz; Apostolova, Margarita; Haase, Andrea

Model development for high-resolution emissions from residential wood combustion

Lopez-Aparicio, Susana; Grythe, Henrik; Vogt, Matthias

In this report, we describe the MetVed model developed to estimate emissions from residential wood combustion (RWC) at high spatial-temporal resolution. The model uses a downscaling method approach, which builds on bottom-up principles and derive a wood burning potential for each grid based on the housing type, size and heating technology, energy demand and outdoor temperature of each grid. The model builds on the combination of several databases with information at high level of detail. The databases contain geo-localised information about dwelling number and type, energy consumption statistics, fireplace and stove locations, and the available technology for residential heating. The datasets are combined and the dependencies between the different variables are analysed. MetVed includes the time variation for RWC based on the heating degree concept combined with time-variation from consumer statistics, and the vertical distribution based on the RWC shared in apartment buildings versus houses. The results from the MetVed-model have shown to improve the accuracy of dispersion modelling results when compared with predictions based on previous emission inventories.

NILU