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Seasonal variation in accumulation of persistent organic pollutants in an Arctic marine benthic food web.

Evenset, A.; Hallanger, I.G.; Tessmann, M.; Warner, N.; Ruus, A.; Borgå, K.; Gabrielsen, G.W.; Christensen, G.; Renaud, P.E.

2016

Seasonal Variation of Wet Deposition of Black Carbon at Ny-Ålesund, Svalbard

Mori, Tatsuhiro; Kondo, Yutaka; Ohata, Sho; Goto-Azuma, Kumiko; Fukuda, Kaori; Ogawa-Tsukagawa, Yoshimi; Moteki, Nobuhiro; Yoshida, Atsushi; Koike, Makoto; Sinha, P. R.; Oshima, Naga; Matsui, Hitoshi; Tobo, Yutaka; Yabuki, Masanori; Aas, Wenche

American Geophysical Union (AGU)

2021

Seasonality and indoor/outdoor relationships of flame retardants and PCBs in residential air.

Melymuk, L.; Bohlin-Nizzetto, P.; Kukucka, P.; Vojta, Š.; Kalina, J.; Cupr, P.; Klánová, J.

2016

Seasonality in contaminant accumulation in Arctic marine pelagic food webs using trophic magnification factor as a measure of bioaccumulation.

Hallanger, I. G.; Warner, N. A.; Ruus, A.; Evenset, A.; Christensen, G.; Herzke, D.; Gabrielsen, G. W.; Borgå, K.

2011

Seasonality in field derived bioaccumulation factors for OCs in Arctic marine species of zooplankton.

Hallander, I.G.; Ruus, A.; Warner, N.A.; Evenset, A.; Herzke, D.; Heimstad, E.S.; Gabrielsen, G.W.; Borgå, K.

2009

Seasonality of aerosol optical properties in the Arctic

Schmeisser, Lauren; Backman, John; Ogren, John A.; Andrews, Elisabeth; Asmi, Eija; Starkweather, Sandra; Uttal, Taneil; Fiebig, Markus; Sharma, Sangeeta; Eleftheriadis, Kostas; Vratolis, Stergios; Bergin, Michael; Tunved, Peter; Jefferson, Anne

Given the sensitivity of the Arctic climate to short-lived climate forcers, long-term in situ surface measurements of aerosol parameters are useful in gaining insight into the magnitude and variability of these climate forcings. Seasonality of aerosol optical properties – including the aerosol light-scattering coefficient, absorption coefficient, single-scattering albedo, scattering Ångström exponent, and asymmetry parameter – are presented for six monitoring sites throughout the Arctic: Alert, Canada; Barrow, USA; Pallas, Finland; Summit, Greenland; Tiksi, Russia; and Zeppelin Mountain, Ny-Ålesund, Svalbard, Norway. Results show annual variability in all parameters, though the seasonality of each aerosol optical property varies from site to site. There is a large diversity in magnitude and variability of scattering coefficient at all sites, reflecting differences in aerosol source, transport, and removal at different locations throughout the Arctic. Of the Arctic sites, the highest annual mean scattering coefficient is measured at Tiksi (12.47Mm−1), and the lowest annual mean scattering coefficient is measured at Summit (1.74Mm−1). At most sites, aerosol absorption peaks in the winter and spring, and has a minimum throughout the Arctic in the summer, indicative of the Arctic haze phenomenon; however, nuanced variations in seasonalities suggest that this phenomenon is not identically observed in all regions of the Arctic. The highest annual mean absorption coefficient is measured at Pallas (0.48Mm−1), and Summit has the lowest annual mean absorption coefficient (0.12Mm−1). At the Arctic monitoring stations analyzed here, mean annual single-scattering albedo ranges from 0.909 (at Pallas) to 0.960 (at Barrow), the mean annual scattering Ångström exponent ranges from 1.04 (at Barrow) to 1.80 (at Summit), and the mean asymmetry parameter ranges from 0.57 (at Alert) to 0.75 (at Summit). Systematic variability of aerosol optical properties in the Arctic supports the notion that the sites presented here measure a variety of aerosol populations, which also experience different removal mechanisms. A robust conclusion from the seasonal cycles presented is that the Arctic cannot be treated as one common and uniform environment but rather is a region with ample spatiotemporal variability in aerosols. This notion is important in considering the design or aerosol monitoring networks in the region and is important for informing climate models to better represent short-lived aerosol climate forcers in order to yield more accurate climate predictions for the Arctic.

2018

Seasonality of the Characteristic Travel Distance. NILU PP

Breivik, K.; Wania, F.; Daly, G.L.

2004

Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

Rose, Clemence; Coen, Martine Collaud; Andrews, Elisabeth; Lin, Yong; Bossert, Isaline; Myhre, Cathrine Lund; Tuch, Thomas; Wiedensohler, Alfred; Fiebig, Markus; Aalto, Pasi; Alastuey, Andrés; Alonso-Blanco, Elisabeth; Andrade, Marcos; Artiñano, Begoña; Arsov, Todor; Baltensprenger, Urs; Bastian, Susanne; Bath, Olaf; Beukes, Johan Paul; Brem, Benjamin T.; Bukowiecki, Nicolas; Casquero-Vera, Juan Andres; Conil, Sébastien; Eleftheriadis, Konstantinos; Favez, Olivier; Flentje, Harald; Gini, Maria I.; Gómez-Moreno, Francisco Javier; Gysel-Beer, Martin; Hallar, Anna Gannet; Kalapov, Ivo; Kalivitis, Nikos; Kasper-Giebl, Anne; Keywood, Melita; Kim, Jeong Eun; Kim, Sang-Woo; Kristensson, Adam; Kulmala, Markku; Lihavainen, Heikki; Lin, Neng-Huei; Lyamani, Hassan; Marinoni, Angela; Dos Santos, Sebastiao Martins; Mayol-Bracero, Olga; Meinhardt, Frank; Merkel, Maik; Metzger, Jean-Marc; Mihalopoulos, Nikolaos; Ondráček, Jakub; Pandolfi, Marco; Pérez, Noemi; Petäjä, Tuukka; Petit, Jean-Eudes; Picard, David; Pichon, Jean-Marc; Pont, Veronique; Putaud, Jean-Philippe; Reisen, Fabienne; Sellegri, Karine; Sharma, Sangeeta; Schauer, Gerhard; Sheridan, Patrick; Sherman, James Patrick; Schwerin, Andreas; Sohmer, Ralf; Sorribas, Mar; Sun, Junying; Tulet, Pierre; Vakkari, Ville; van Zyl, Pieter Gideon; Velarde, Fernando; Villani, Paolo; Vratolis, Stergios; Wagner, Zdenek; Wang, Sheng-Hsiang; Weinhold, Kay; Weller, Rolf; Yela, Margarita; Ždímal, Vladimir; Laj, Paolo G.

Aerosol particles are a complex component of the atmospheric system which influence climate directly by interacting with solar radiation, and indirectly by contributing to cloud formation. The variety of their sources, as well as the multiple transformations they may undergo during their transport (including wet and dry deposition), result in significant spatial and temporal variability of their properties. Documenting this variability is essential to provide a proper representation of aerosols and cloud condensation nuclei (CCN) in climate models. Using measurements conducted in 2016 or 2017 at 62 ground-based stations around the world, this study provides the most up-to-date picture of the spatial distribution of particle number concentration (Ntot) and number size distribution (PNSD, from 39 sites). A sensitivity study was first performed to assess the impact of data availability on Ntot's annual and seasonal statistics, as well as on the analysis of its diel cycle. Thresholds of 50 % and 60 % were set at the seasonal and annual scale, respectively, for the study of the corresponding statistics, and a slightly higher coverage (75 %) was required to document the diel cycle.

Although some observations are common to a majority of sites, the variety of environments characterizing these stations made it possible to highlight contrasting findings, which, among other factors, seem to be significantly related to the level of anthropogenic influence. The concentrations measured at polar sites are the lowest (∼ 102 cm−3) and show a clear seasonality, which is also visible in the shape of the PNSD, while diel cycles are in general less evident, due notably to the absence of a regular day–night cycle in some seasons. In contrast, the concentrations characteristic of urban environments are the highest (∼ 103–104 cm−3) and do not show pronounced seasonal variations, whereas diel cycles tend to be very regular over the year at these stations. The remaining sites, including mountain and non-urban continental and coastal stations, do not exhibit as obvious common behaviour as polar and urban sites and display, on average, intermediate Ntot (∼ 102–103 cm−3). Particle concentrations measured at mountain sites, however, are generally lower compared to nearby lowland sites, and tend to exhibit somewhat more pronounced seasonal variations as a likely result of the strong impact of the atmospheric boundary layer (ABL) influence in connection with the topography of the sites. ABL dynamics also likely contribute to the diel cycle of Ntot observed at these stations. Based on available PNSD measurements, CCN-sized particles (considered here as either >50 nm or >100 nm) can represent from a few percent to almost all of Ntot, corresponding to seasonal medians on the order of ∼ 10 to 1000 cm−3, with seasonal patterns and a hierarchy of the site types broadly similar to those observed for Ntot.

Overall, this work illustrates the importance of in situ measurements, in particular for the study of aerosol physical properties, and thus strongly supports the development of a broad global network of near surface observatories to increase and homogenize the spatial coverage of the measurements, and guarantee as well data availability and quality. The results of this study also provide a valuable, freely available and easy to use support for model comparison and validation, with the ultimate goal of contributing to improvement of the representation of aerosol–cloud interactions in models, and, therefore, of the evaluation of the impact of aerosol particles on climate.

2021

Seasonality of UV-radiation and vitamin D status at 69 degrees north.

Brustad, M.; Edvardsen, K.; Wilsgaard, T.; Engelsen, O.; Aksnes, L.; Lund, E.

2007

Selected NILU projects. NILU F

Sivertsen, B.

2013

Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems

Motevallian, Mahsa; Esfar E Alam, A M; Taherkordi, Amirhosein; Abbasi, Golnoush

2024

Semidiurnal nonmigrating tides in low-latitude lower thermospheric NO: A climatology based on 20 years of Odin/SMR measurements

Grieco, Francesco; Orsolini, Yvan Joseph Georges Emile G.; Pérot, Kristell

The Sub-Millimetre Radiometer (SMR) on board the Odin satellite provides almost 20 years of nitric oxide (NO) measurements in the mesosphere and lower thermosphere (MLT) at equatorial crossing local solar times (LSTs) of 6 AM and 6 PM. In this study, we use Odin/SMR observations to estimate how lower thermospheric NO mixing ratios at low latitudes are affected by solar nonmigrating tides. Most of the previous studies based on satellite data have focused on the signatures of diurnal tides in the MLT and above, while we concentrate here on nonmigrating semidiurnal tides. To study the contribution of these tides to NO mixing ratio variations, we average pairs of NO measurements along ascending and descending orbital tracks at 107 km altitude over latitudes between −40°and +40°. We consider monthly climatologies of these pair-averages and analyse residuals with respect to their zonal mean. In this way, it is possible to study the effect of nonmigrating even-numbered tidal components, albeit there is a non-tidal component arising largely from quasi-stationary planetary waves. Spectral wave amplitudes are extracted using a Fourier transform as function of (apparent) zonal wavenumber with a focus around −30°, −20°and 30°latitudes. From our analysis, it appears that the semidiurnal (apparent) zonal wavenumber 4 arising from the SW6 and SE2 tides is dominant close to the equator (e.g., at −20°), except during some boreal summer months (June, July, August). On the other hand, wave-1 plays a more prominent role at subtropical latitudes, especially in the southern hemisphere, where it surpasses wave-4 during 7 months (March and May-to-October) at −30°. There is little observational evidence to date documenting the presence of the semidiurnal nonmigrating tides in NO in the low-latitude MLT. Our results hence provide one of the first evidences of the climatological signature of these tides in NO, in an altitude range that remains poorly observed.

Elsevier

2023

Semidiurnal Tidal Perturbations During SSW in SuperDARN and WACCM

Limpasuvan, Varavut; Orsolini, Yvan; Espy, Patrick Joseph; Hibbins, Robert

2019

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