Publications

How well is black carbon in the Arctic atmosphere captured by models?

Eckhardt, S.; Berntsen, T.; Cherian, R.; Daskalakis, N.; Heyes, C.; Hodnebrog, Ø.; Kanakidou, M.; Klimont, Z.; Law, K.; Lund, M.; Myhre, G.; Myriokefalitakis, S.; Olivie, D.; Quaas, J.; Quennehen, B.; Raut, J.-C.; Samset, B.; Schulz,M.; Skeie, R.; Stohl, A.

How to deal with resistance in AQ monitoring? A scientist perspective.

Grossberndt, Sonja; Castell, Nuria

How to COPE? Contaminant–climate change interactions in the Arctic.

Krogseth, Ingjerd Sunde; Solbakken, Christine Forsetlund; Borch, Trude

How the Scandinavian air pollution research institutes can improve air quality in growing urban spheres in the developing countries. NILU F

Sivertsen, B.

How stratospheric are deep stratospheric intrusions?

Trickl, T.; Vogelmann, H.; Giehl, H.; Scheel, H.-E.; Sprenger, M.; Stohl, A.

How relevant is the deposition of mercury onto snowpacks? - Part 1: A statistical study on the impact of environmental factors.

Durnford, D. A.; Dastoor, A. P.; Steen, A. O.; Berg, T.; Ryzhkov, A.; Figueras-Nieto, D.; Hole, L. R.; Pfaffhuber, K. A.; Hung, H.

How is air pollution transported to the Arctic? (POLAR-CAT).

Stohl, A.

How does suburban sprawl vs. compact city development influence urban transport performance and its emissions?

Drabicki, Arkadiusz; Lopez-Aparicio, Susana; Grythe, Henrik; Chwastek, Konrad; Górska, Lidia

How do we understand interdisciplinarity in environment and climate research: results from a recent study in Norway

Bartonova, Alena; Ruud, Audun; Skjellum, Solrun Figenschau; Slettemark, Brita; Lund, Mariann; Singsaas, Frode Thomassen; Aspøy, Håkon; Grossberndt, Sonja; Enge, Caroline; Sander, Gunnar

How certain are we of the uncertainties in recent ozone profile trend assessments of merged limb/occultation records? Challenges and possible ways forward.

Hubert, D.; Lambert, J.-C.; Verhoelst, T.; Granville, J.; Keppens, A.; Baray, J.-L.; Cortesi, U.; Degenstein, D.; Froidevaux, L.; Godin-Beekmann, S.; Hoppel, K.; Kyrola, E.; Leblanc, T.; Lichtenberg, G.; McElroy, C.; Murtagh, D.; Russell, J.; Salvador, J.; Smit, H.; Stebel, K.; Steinbrecht, W.; Strawbridge, K.; Stubi, R.; Swart, D.; Taha, G.; Thompson, A.; Urban, J.; van Gijsel, A.; von Der Gathen, P.; Walker, K.; Wolfram, E.; Zawodny, J.; Nakane, H.

How Atmospheric Chemistry and Transport Drive Surface Variability of N2O and CFC-11

Ruiz, Daniel J.; Prather, Michael J.; Strahan, Susan E.; Thompson, Rona Louise; Froidevaux, Lucien; Steenrod, Stephen D.

Nitrous oxide (N2O) is a long-lived greenhouse gas that affects atmospheric chemistry and climate. In this work, we use satellite measurements of N2O, ozone (O3), and temperature from the Aura Microwave Limb Sounder (MLS) instrument to calculate stratospheric loss of N2O, and thus its atmospheric lifetime. Using three chemistry transport models simulating the Aura period 2005–2017, we verify the stratospheric sink using MLS data and follow that loss signal down to the surface and compare with surface observations. Stratospheric loss has a strong seasonal cycle and is further modulated by the Quasi-Biennial Oscillation (QBO); these cycles are seen equally in both observations and the models. When filtered for interannual variability, the modeled surface signal is QBO-caused, and it reproduces the observed pattern, highlighting the potential role of the QBO in tropospheric chemistry and composition, as well as in model evaluation. The observed annual surface signal in the northern hemisphere matches well with the models run without emissions, indicating the annual cycle is driven mostly by stratosphere-troposphere exchange (STE) flux of N2O-depleted air and not surface N2O emissions. In the southern hemisphere (SH), all three models disagree and thus provide no guidance, except for indicating that modeling annual STE in the SH remains a major model uncertainty. Parallel model simulations of CFCl3, which has greater stratospheric loss that N2O and possibly surreptitious emissions, show that its interannual variations parallel those of N2O, and thus the observed N2O variability can identify the stratospheric component of the observed CFCl3 variability.

American Geophysical Union (AGU)

Household-Heating Induced PM2.5 Levels Association with Meteorology: Insights from a Community Operated Low-Cost Sensor Network

Hassani, Amirhossein; Castell, Nuria; Schneider, Philipp

Hotspots of coastal vulnerability: A DPSIR analysis to find societal pathways and responses.

Newton, A.; Weichselgartner, J.