Publications

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

Model calculations to estimate urban levels of particulate matter in Oslo, with respect to the requirements of the EU directives.

Laupsa, H.; Denby, B.; Slørdal, L.H.; Tønnesen, D.

Model applications in the European Air Quality Directive. FAIRMODE. NILU F

Guerreiro, C.

MOCA - CAGE: Atmospheric measurements and interpretations. Report from the 1st year of work and collaboration. NILU F

Myhre, C.L.; Hermansen, O.; Platt, S.M.; Schmidbauer, N.; Fjæraa, A.M.; Silyakova, A.; Ferré, B.; Iversen, S.; Mienert, J.

Mobility particle size spectrometers: harmonization of technical standards and data structure to facilitate high quality long-term observations of atmospheric particle number size distributions.

Wiedensohler, A.; Birmili, W.; Nowak, A.; Sonntag, A.; Weinhold, K.; Merkel, M.; Wehner, B.; Tuch, T.; Pfeifer, S.; Fiebig, M.; Fjæraa, A. M.; Asmi, E.; Sellegri, K.; Depuy, R.; Venzac, H.; Villani, P.; Laj, P.; Aalto, P.; Ogren, J. A.; Swietlicki, E.; Williams, P.; Roldin, P.; Quincey, P.; Hüglin, C.; Fierz-Schmidhauser, R.; Gysel, M.; Weingartner, E.; Riccobono, F.; Santos, S.; Grüning, C.; Faloon, K.; Beddows, D.; Harrison, R. M.; Monahan, C.; Jennings, S. G.; O'Dowd, C. D.; Marinoni, A.; Horn, H.-G.; Keck, L.; Jiang, J.; Scheckman, J.; McMurry, P. H.; Deng, Z.; Zhao, C. S.; Moerman, M.; Henzing, B.; de Leeuw, G.; Löschau, G.; Bastian, S.

Mobile technologies and services for supporting green mobility in Oslo: the Citi-Sense-MOB approach. NILU F

Liu, H.-Y.; Kobernus, M.; Berre, A.J.; Noll, J.; Castell, N.

Mobile technologies and personalized environmental information for supporting sustainable mobility in Oslo: The Citi-Sense-MOB approach.

Castell, N.; Liu, H.-Y.; Kobernus, M.; Berre, A.J.; Noll, J.; Cagatay, E.; Gangdal, R.

Mobile phone tracking and traffic maps: in support of modelling traffic air pollution, exposure and health effects. NILU F

Liu, H.-Y.; Skjetne, E.

Mobile Peer-to-Peer Technology used to Promote Spontaneous Collaboration.

Wang, A.I.; Sørensen, C.-F.; Fossum, T.

MLT dynamics related to major sudden stratospheric warming events. NILU F

Limpasuvan, V.; Orsolini, Y.; Chandran, A.; Garcia, R.; Kinnison, D.

Mixing between a stratospheric intrusion and a biomass burning plume.

Brioude, J.; Cooper, O.R.; Trainer, M.; Ryerson, T.B.; Holloway, J.S.; Baynard, T.; Peischl, J.; Warneke, C.; Neuman, J.A.; De Gouw, J.; Stohl, A.; Eckhardt, S.; Frost, G.J.; McKeen, S.A.; Hsie, E.-Y.; Fehsenfeld, F.C.; Nédélec, P.

Mission report: Planning meeting in Burgas, Bulgaria 9-10 June, 2009. NILU OR

Hak, C.; Sivertsen, B.

Mission report. Air quality management feasibility study for Yerevan, Armenia. NILU OR

Liu, L.; Tønnesen, D.