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Found 10000 publications. Showing page 334 of 400:

Publication  
Year  
Category

CO2 on the way to school. NILU PP

Randall, S.

2008

CO2 capture by sodiumcarbonate. NILU OR

Schmidbauer, N.; Knudsen, S.

2014

Co-ordinated observations of ozone, PSCs and stratospheric trace gases at ALOMAR, Norway. NILU F

Hansen, G.H.; Arlander, W.; Edvardsen, K.; Tørnkvist, K.; Fiedler, J.; von Cossart, G.; Sarcissian, A.

2000

Co-creating inclusive sustainable interventions: Urban living labs with elementary school children and adults

Castell, Nuria; Hassani, Amirhossein; Kubecka, Magdalena; Nicińska, Anna; Rachubik, Joanna

2026

Co-Constructing City Futures: Enabling Participation in Urban Planning Processes with ICTs

Smørdal, Ole; Hennissen, Grete Kristin; Hoelscher, Kristian; Wensaas, Kristina ebbing; Lopez-Aparicio, Susana; Pettersen, Ida Nilstad; Wilson, Alexander; Kahlia, Maarit

2019

Clustering Analysis of Very Large Measurement and Model Data Sets on High‐Performance Computing Platforms

Lee, Colin J.; Makar, Paul A.; Soares, Joana

Abstract Hierarchical agglomerative clustering is a useful analysis technique which allows for a level of stability, interpretability and flexibility not available in other similar techniques such as K‐means, density‐based clustering or positive matrix factorization. Previous studies using hierarchical clustering on atmospheric model output have been limited to small domain sizes (roughly 100 × 100 grid cells) by the computational expense and memory requirements of the algorithm. Here we present a scalable hierarchical clustering implementation that we apply to two year‐long, hourly atmospheric data sets: model concentration and deposition timeseries at 290,520 locations over Alberta and Saskatchewan (538 540 grid); and 366,427 multi‐pollutant observations from 51 national air pollution surveillance stations located across Canada. When combined with other information such as emissions source locations, orography, and prevailing meteorological conditions, the method yields coherent, interpretable structures. In the case of model time series, the clustering provides regions of similar air quality (airsheds) which can be used to inform air quality monitoring network placement, or regions of similar deposition which can inform critical load assessment as well as monitoring site locations. In the case of the multi‐pollutant observations, we show that a single low‐primary pollutant cluster appears the most frequently at all but one of 51 stations across Canada, accounting for 62% of all station‐hours, while elevated SO 2 appears in factor profiles at certain monitoring locations near industrial and shipping activity. Together, these results demonstrate that hierarchical clustering can efficiently summarize patterns relevant to airshed mapping and source apportionment at previously unreachable scales.

2026

Cloud-scale modelling of the impact of deep convection on the fate of oceanic bromoform in the troposphere: a case study over the west coast of Borneo

Hamer, Paul David; Marécal, Virginie; Hossaini, Ryan; Pirre, Michel; Krysztofiak, Gisele; Ziska, Franziska; Engel, Andreas; Sala, Stephan; Keber, Timo; Bönisch, Harald; Atlas, Elliot; Krüger, Kirstin; Chipperfield, Martyn; Catoire, Valery; Samah, Azizan A.; Dorf, Marcel; Moi, Phang Siew; Schlager, Hans; Pfeilsticker, Klaus

This paper presents a modelling study on the fate of CHBr3 and its product gases in the troposphere within the context of tropical deep convection. A cloud-scale case study was conducted along the west coast of Borneo, where several deep convective systems were triggered on the afternoon and early evening of 19 November 2011. These systems were sampled by the Falcon aircraft during the field campaign of the SHIVA project and analysed using a simulation with the cloud-resolving meteorological model C-CATT-BRAMS at 2×2 km resolution that represents the emissions, transport by large-scale flow, convection, photochemistry, and washout of CHBr3 and its product gases (PGs). We find that simulated CHBr3 mixing ratios and the observed values in the boundary layer and the outflow of the convective systems agree. However, the model underestimates the background CHBr3 mixing ratios in the upper troposphere, which suggests a missing source at the regional scale. An analysis of the simulated chemical speciation of bromine within and around each simulated convective system during the mature convective stage reveals that >85 % of the bromine derived from CHBr3 and its PGs is transported vertically to the point of convective detrainment in the form of CHBr3 and that the remaining small fraction is in the form of organic PGs, principally insoluble brominated carbonyls produced from the photo-oxidation of CHBr3. The model simulates that within the boundary layer and free troposphere, the inorganic PGs are only present in soluble forms, i.e. HBr, HOBr, and BrONO2, and, consequently, within the convective clouds, the inorganic PGs are almost entirely removed by wet scavenging. We find that HBr is the most abundant PG in background lower-tropospheric air and that this prevalence of HBr is a result of the relatively low background tropospheric ozone levels at the regional scale. Contrary to a previous study in a different environment, for the conditions in the simulation, the insoluble Br2 species is hardly formed within the convective systems and therefore plays no significant role in the vertical transport of bromine. This likely results from the relatively small quantities of simulated inorganic bromine involved, the presence of HBr in large excess compared to HOBr and BrO, and the relatively efficient removal of soluble compounds within the convective column.

2021

Cloud microphysical processes during ISLAS 2020 campaign: remote sensing, radiosonde and model data

Dekhtyareva, Alena; Maturilli, Marion; Ebell, Kerstin; Johannessen, Aina Marie; Seidl, Andrew Walter; Jonassen, Marius Opsanger; Hermansen, Ove; Kähnert, Marvin; Thurnherr, Iris Livia; Sodemann, Harald

2022

Cloud microphysical processes during ISLAS 2020 campaign in Ny-Ålesund

Dekhtyareva, Alena; Maturilli, Marion; Ebell, Kerstin; Johannessen, Aina Marie; Seidl, Andrew Walter; Jonassen, Marius Opsanger; Hermansen, Ove; Welker, Jeffrey M.; Sodemann, Harald

2021

Cloud condensation nuclei as a modulator of ice processes in Arctic mixed-phase clouds.

Lance, S.; Shupe, M.D.; Feingold, G.; Brock, C.A.; Cozic, J.; Holloway, J.S.; Moore, R.H.; Nenes, A.; Schwarz, J.P.; Spackman, J.R.; Froyd, K.D.; Murphy, D.M.; Brioude, J.; Cooper, O.R.; Stohl, A.; Burkhart, J.F.

2011

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