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Found 9768 publications. Showing page 390 of 391:

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Year  
Category

Workshop on emerging pollutants in non-industrial indoor environments. NORMAN workshop report. NILU report

Bohlin-Nizzetto, P.

This workshop aimed to identify the current state of the art plus knowledge gaps and needs within the research field of CECs, covering both ¿old¿ and emerging SVOCs and NVOCs in non-industrial indoor environments. Further, it aimed to promote awareness of emerging pollutants in non-industrial indoor environments and the exchange of knowledge/ information, and to encourage enhanced collaboration by bringing together scientists in the field of CECs in indoor environments with expertise from building and consumer product sectors and stakeholders/regulatory authorities.

2016

Workshop on Nitrogen Deposition, Critical Loads and Biodiversity: Scientific Synthesis and Summary for Policy Makers.

Hick, W.K.; Haeuber, R.; Sutton, M.A.; Aas, W.; Barber, M.; Baron, J.S.; Blett, T.; Carou, S.; Clair, T.; Erisman, J.W.; Leach, A.; Galloway, J.N.

2014

Workshop proceedings. 2nd EIONET workshop on air quality monitoring and assessment Brussels, 22-23 September 1997. EEA Technical Report, 13

Larssen, S.; Potma, C.; Sluyter, R.; Stevenson, K.

1999

World Data Centre for Aerosol: Status & News 2014. NILU F

Fiebig, M.; Fjæraa, A.M.; Tørseth, K.

2014

World Data Centre for Aerosol: Status & News 2014. NILU F

Fiebig, M.; Fjæraa, A.M.; Tørseth, K.

2014

World Data Centre for Aerosol: Status & News 2018

Fiebig, Markus; Fjæraa, Ann Mari; Tørseth, Kjetil; Aas, Wenche

2018

Worldwide trend of atmospheric mercury since 1977.

Slemr, F.; Brunke, E.G.; Ebinghaus, R.; Temme, C.; Munthe, J.; Wängberg, I.; Schroeder, W.; Steffen, A.; Berg, T.

2003

WP 1.2 Operationalization of satellite-based volcanic ash measurements. NILU OR

Kylling, A.; Sollum, E.; Eckhardt, P.

Data from the SEVIRI instrument is available at NILU through EUMETCast. These data are processed at NILU to retrieve volcanic ash loading in a satellite pixel. The report describes operationalization and automatization of the data processing algorithms at NILU including how the data are made available for the Norwegian Meterological Institute.

2013

WP 1.4.1: Visualization of modelled SEVIRI IR-scenes for quality control. NILU OR

Kylling, A.

The SEVIRI instrument produces infrared images. The report describes how the RTTOV radiative transfer model is used to simulate SEVIRI images for an ash situation.

2013

WP 4 MASURIN. The Urber Tool. NILU OR

Jablonska, H.; Wathne, B.; Guerreiro, C.; Bjørkenes, A.; Kompala, J.; Lipowczan, A.; Swider, J.; Wywiol, P.

2004

WP10 - ACTRIS Data Centre

Myhre, C.L.; Mona, L.; O'Connor, E.J.; Descloitres, J.

2015

WP3 Data Management. Powerpoint presentation. Powerpoint presentation. NILU F

Vik, A.F.; Krognes, T.; Walker, S.E.; Bårde, T.; Paltiel, R.

2005

Year-Round In Situ Measurements of Arctic Low-Level Clouds: Microphysical Properties and Their Relationships With Aerosols

Koike, Makoto; Ukita, Jinro; Ström, Johan; Tunved, Peter; Shiobara, Masataka; Vitale, Vito; Lupi, Angelo; Baumgardner, D.; Ritter, Christoph; Hermansen, Ove; Yamada, K.; Pedersen, Christina Alsvik

Two years of continuous in situ measurements of Arctic low‐level clouds have been made at the Mount Zeppelin Observatory (78°56′N, 11°53′E), in Ny‐Ålesund, Spitsbergen. The monthly median value of the cloud particle number concentration (Nc) showed a clear seasonal variation: Its maximum appeared in May–July (65 ± 8 cm−3), and it remained low between October and March (8 ± 7 cm−3). At temperatures warmer than 0 °C, a clear correlation was found between the hourly Nc values and the number concentrations of aerosols with dry diameters larger than 70 nm (N70), which are proxies for cloud condensation nuclei (CCN). When clouds were detected at temperatures colder than 0 °C, some of the data followed the summertime Nc to N70 relationship, while other data showed systematically lower Nc values. The lidar‐derived depolarization ratios suggested that the former (CCN‐controlled) and latter (CCN‐uncontrolled) data generally corresponded to clouds consisting of supercooled water droplets and those containing ice particles, respectively. The CCN‐controlled data persistently appeared throughout the year at Zeppelin. The aerosol‐cloud interaction index (ACI = dlnNc/(3dlnN70)) for the CCN‐controlled data showed high sensitivities to aerosols both in the summer (clean air) and winter–spring (Arctic haze) seasons (0.22 ± 0.03 and 0.25 ± 0.02, respectively). The air parcel model calculations generally reproduced these values. The threshold diameters of aerosol activation (Dact), which account for the Nc of the CCN‐controlled data, were as low as 30–50 nm when N70 was less than 30 cm−3, suggesting that new particle formation can affect Arctic cloud microphysics.

American Geophysical Union (AGU)

2019

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