Publikasjoner

Quantifying effect of traffic measures using individual exposure modeling. NILU F

Clench-Aas, J.; Bartonova, A.; Klæboe, R.; Kolbenstvedt, M.

Quantifying subnational CO2 emissions by assimilating regional measurements in a global high-resolution inverse model

Nayagam, Lorna Raja; Maksyutov, Shamil; Oda, Tomohiro; Janardanan, Rajesh; Yoshida, Yukio; Trisolino, Pamela; Zeng, Jiye; Kaiser, Johannes; Matsunaga, Tsuneo

Quantifying the Impact of the Covid-19 Lockdown Measures on Nitrogen Dioxide Levels throughout Europe

Solberg, Sverre; Walker, Sam-Erik; Schneider, Philipp; Guerreiro, Cristina

In this paper, the effect of the lockdown measures on nitrogen dioxide (NO2) in Europe is analysed by a statistical model approach based on a generalised additive model (GAM). The GAM is designed to find relationships between various meteorological parameters and temporal metrics (day of week, season, etc.) on the one hand and the level of pollutants on the other. The model is first trained on measurement data from almost 2000 monitoring stations during 2015–2019 and then applied to the same stations in 2020, providing predictions of expected concentrations in the absence of a lockdown. The difference between the modelled levels and the actual measurements from 2020 is used to calculate the impact of the lockdown measures adjusted for confounding effects, such as meteorology and temporal trends. The study is focused on April 2020, the month with the strongest reductions in NO2, as well as on the gradual recovery until the end of July. Significant differences between the countries are identified, with the largest NO2 reductions in Spain, France, Italy, Great Britain and Portugal and the smallest in eastern countries (Poland and Hungary). The model is found to perform best for urban and suburban sites. A comparison between the found relative changes in urban surface NO2 data during the lockdown and the corresponding changes in tropospheric vertical NO2 column density as observed by the TROPOMI instrument on Sentinel-5P revealed good agreement despite substantial differences in the observing method.

Quantifying the mass loading of particles in an ash cloud remobilized from tephra deposits on Iceland.

Beckett, F.; Kylling, A.; Sigurðardóttir, G.; von Löwis, S.; Witham, C.

Quantifying wet scavenging processes in aircraft observations of nitric acid and cloud condensation nuclei.

Garrett, T.J.; Avey, L.; Palmer, P.I.; Stohl, A.; Neuman, J.A.; Brock, C.A.; Ryerson, T.B.; Holloway, J.S.

Quantitative Analysis of Microplastics including Tire Wear Particles in Northern Atlantic Air with Pyrolysis-GC/MS

Gossmann, Isabel; Herzke, Dorte; Held, Andreas; Schulz, Janina; Nikiforov, Vladimir; Georgi, Christoph; Evangeliou, Nikolaos; Eckhardt, Sabine; Gerdts, Gunnar; Wurl, Oliver; Scholz-Böttcher, Barbara

Quantitative determination and time trends of perfluoroalkane sulfonates and sulfonamide-based precursors in herring from the Swedish west coast.

Ullah, S.; Huber, S.; Bignert, A.; Berger, U.

Quantitative structure - Photodegradation relationships of polybrominated diphenyl ethers, phenoxyphenols and selected organochlorines.

Heimstad, E.S.; Bastos, P.M.; Eriksson, J.; Bergman, Å.; Harju, M.

Query-driven Qualitative Constraint Acquisition

Belaid, Mohamed-Bachir; Belmecheri, Nassim; Gotlieb, Arnaud; Lazaar, Nadjib; Spieker, Helge

Many planning, scheduling or multi-dimensional packing problems involve the design of subtle logical combinations of temporal or spatial constraints. Recently, we introduced GEQCA-I, which stands for Generic Qualitative Constraint Acquisition, as a new active constraint acquisition method for learning qualitative constraints using qualitative queries. In this paper, we revise and extend GEQCA-I to GEQCA-II with a new type of query, universal query, for qualitative constraint acquisition, with a deeper query-driven acquisition algorithm. Our extended experimental evaluation shows the efficiency and usefulness of the concept of universal query in learning randomly-generated qualitative networks, including both temporal networks based on Allen’s algebra and spatial networks based on region connection calculus. We also show the effectiveness of GEQCA-II in learning the qualitative part of real scheduling problems.

QUILT: Measurement and model results for the arctic winter stratosphere 2001/2002.

Arlander, D.W.; Tørnkvist, K.K.; Roozendael, M. Van, Hendrick, F.; Wittrock, F.; Richter, A.; Goutail, F.; Lefevre, F.; Pfeilsticker, K.; Wagner, T.; Chipperfield, M.; Roscoe, H.K.; Denis, L.; Gil, M.; Puentedura, O.; Landgraf, J.; Laat, J. de, Ravegnani, F.; Petritoli, A.; Johnston, P.V.; Kreher, K.

Radiative forcing by black carbon in the Arctic.

Quinn, P.K.; Stohl, A.; Baklanov, A.; Flanner, M.G.; Herber, A.; Kupiainen, K.; Law, K.S.; Schmale, J.; Sharma, S.; Vestreng, V.; von Salzen, K.

Radiative transfer: methods and applications. Research topics in aerospace

Mayer, B.; Emde, C.; Buras, R.; Kylling, A.

Rainfall drives atmospheric ice-nucleating particles in the coastal climate of southern Norway.

Conen, F.; Eckhardt, S.; Gundersen, H.; Stohl, A.; Yttri, K. E.