Publications

Black Carbon Observations in the Arctic

Tørseth, Kjetil

Black carbon sources constrained by observations in the Russian high Arctic.

Popovicheva, O. B.; Evangeliou, N.; Eleftheriadis, K.; Kalogridis, A. C.; Sitnikov, N.; Eckhardt, S.; Stohl, A.

Bladder cancer, a review of the environmental risk factors.

Letasiova, S.; Medvedova, A.; Sovcikova, A.; Dusinska, M.; Volkovova, K.; Mosoiu, C.; Bartonova, A.

Blockings and upward planetary-wave propagation into the stratosphere. NILU F

Nishii, K.; Nakamura, H.; Orsolini, Y.J.

Blood lead concentrations in the population of Tbilisi, Georgia. Results of model estimates. NILU OR

Clench-Aas, J.; Juruli, M.; Arnesen, K.

Blårøyk ved Sokna. Prøvetaking, analyse og vurdering av blårøyk ved Moelven Soknabruket AS.

Berglen, Tore Flatlandsmo; Schmidbauer, Norbert

NILU

Both sides of the story: electrifying mobility in Oslo, Effects on the air quality in Oslo

Høiskar, Britt Ann Kåstad

Boundary layer aerosol chemistry during TexAQS/GoMACCS 2006: Insights into aerosol sources and transformation processes.

Bates, T.S.; Quinn, P.K.; Coffman, D.; Schulz, K.; Covert, D.S.; Johnson, J.E.; Williams, E.J.; Lerner, B.M.; Angevine, W.M.; Tucker, S.C.; Brewer, W.A.; Stohl, A.

Boundary layer aerosol size distribution data from Birkenes, Norway. NILU PP

Lunder, C.; Tunved, P.; Ström, J.

Brannskum i fisk og mennesker.

Hanssen, L.; Herzke, D.; Nikiforov, V.

Bridge to Copernicus. Final project report. NILU OR

Stebel, K.; Fjæraa, A.M.; Schneider, P.; Svendby, T.

NILU has a mandate to monitor air quality and particularly its changes over time, both nationally through Miljødirektoratet (MD) and internationally through the European Monitoring and Evaluation Programme (EMEP). Satellite data related to atmospheric composition are increasingly used for monitoring as they provide long time series of spatially continuous observations. It is therefore essential for NILU to begin preparing for the upcoming Copernicus missions. Here, we evaluate methane products from AIRS, TES, TANSO-FTS and SCIAMACHY as added value for GHG monitoring in Norway and Svalbard. As expected, due to the low sensitivity of the sensors to ground-level Artic large deviations are seen when comparing to in situ data from Birkenes and Ny-Ålesund. Higher level products (L4), combining satellite and ground-based information, seem more appropriate for future reporting purposes. Further, we investigated the usability of the current set of long-term operational ground-based MAX-DOAS stations worldwide for inter-comparing their NO2 observations to those of satellite-based instruments, in particular OMI and GOME-2A. The two data sources agree very well for sites located in rural, non-polluted regions. For sites located in polluted areas we found strong systematic biases, large random errors, or slightly shifting systematic biases. The systematic biases can be explained primarily by the strong spatial gradients in NO2 levels in urban areas in conjunction with the large differences in the spatial representativity of the measurements. We evaluated the possibility to use the now relatively long time series of MAX-DOAS observations to fit a statistical trend model and to directly compare the resulting trends to those obtained for the satellite-based time series for the same area and time period. It was found that the sites with approximately 50 months of valid data for both data sources showed quite similar long-term trends and that sites with fewer than 30 months of valid data exhibited significant discrepancies in the resulting trends.

Briefly on ACTRIS’ preliminary recommendation of use of denuder for sampling of organic carbon

Yttri, Karl Espen