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Fant 10464 publikasjoner. Viser side 398 av 419:

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Ultra-Violet multispectral imaging cameras for validation of SO2 emissions.

Stebel, K.; Prata, F.; Dauge, F.; Durant, A.; Amigo, A.; Ajtai, N.

2012

Ultraviolet exposure scenarios: risks of erythema from recommendations on cutaneous vitamin D synthesis. Advances in Experimental Medicine and Biology, 624

Webb, A.R.; Engelsen, O.

2008

UN ECE ICP Materials: Dose-Response Functions on Dry and Wet Acid Deposition Effects After 8 Years of Exposure.

Tidblad, J.; Kucera, V.; Mikhailov, A. A.; Henriksen, J.; Kreislova, K.; Yates, T.; Stöckle, B.; & Schreiner, M.

2001

UN/ECE International co-operative programme on effects on materials, including historic and cultural monuments. Environmental data report. October 2014 to October 2015. Report no. 81. NILU report

Grøntoft, T.; Ferm, M.

Denne rapporten presenterer databasen i ICP Materialer for perioden oktober 2014 - oktober 2015. Den inkluderer miljødata fra ICP Materialer trend-eksponeringsprogrammet for 2014 - 2015. Databasen består av meteorologiske data (T og RF) og forurensningsdata som gasskonsentrasjoner, mengde ioner i nedbør, partikkelkonsentrasjoner og mengde avsatte partikler.

2017

UN/ECE International co-operative programme on effects on materials, including historic and cultural monuments. Trend exposure programme 2011 - 2012. Environmental data report October 2011 to December 2012. Report no 75. NILU OR

Grøntoft, T.; Ferm, M.

Denne rapporten presenterer databasen i ICP Materialer for perioden oktober 2011 - desember 2012. Den inkluderer miljødata fra ICP Materialer trend-eksponeringsprogrammet for 2011 - 2012. Databasen består av meteorologiske data (T og RF), og forurensningsdata som gasskonsentrasjoner, mengde ioner i nedbør, partikkelkonsentrasjon og mengde avsatte partikler.

2014

Uncertainties associated with Lagrangian transport in greenhouse gas flux estimates

Pisso, Ignacio

Atmospheric Lagrangian particle dispersion models (LPDMs) are commonly combined with Bayesian inversion/optimization methods to infer emission fluxes across spatial scales from local to global. These tools are central to monitoring greenhouse gases, especially CO₂, CH₄, and N₂O. However, uncertainties in flux estimates arise from multiple sources: prior flux information, representation of the background atmospheric composition, statistical model choices (including hyperparameters and error covariance assumptions), and errors in atmospheric transport. In this presentation, we describe current uncertainty quantification activities linked to ongoing projects (e.g. EYE-CLIMA). We will discuss the use of meteorological ensemble simulations to assess transport related uncertainty and explore connections with dynamical systems tools and common assumptions such as Gaussian errors. Emphasis will be placed on high-resolution transport modelling applications.

2026

Uncertainties in assessing the environmental impact of amine emissions from a CO2 capture plant.

Karl, M.; Castell, N.; Simpson, D.; Solberg, S.; Starrfelt, J.; Svendby, T.; Walker, S.-E.; Wright, R.F.

2014

Uncertainties in monitoring of SVOCs in air caused by within-sampler degradation during active and passive air sampling.

Melymuk, L.; Bohlin-Nizzetto, P.; Prokeš, R.; Kukucka, P.; Pribylová, P.; Vojta, Š.; Kohoutek, J.; Lammel, G.; Klánová, J.

2017

Uncertainties in recent satellite ozone profile trend assessments (SI2N, WMO 2014) : A network-based assessment of fourteen contributing limb and occultation data records.

Hubert, D.; Lambert, J.-C.; Verhoelst, T.; Granville, J.; Keppens, A.; Cortesi, U.; Degenstein, D.,A.; Froidevaux, L.; Godin-Beekmann, S.; Hoppel, K.,W.; Kyrölä, E.; Leblanc, T.; Lichtenberg, G.; McDermid, S.; McElroy, T.; Murtagh, D.; Nakane, H.; Russell III, J.R.; Smit, H.G.J.; Stebel, K.; Steinbrecht, W.; Stübi, R.; Swart, D.P.J.; Taha, G.; Thompson, A.M.; Urban, J.; van Gijsel, A.; von der Gathen, P.; Walker, K.A.; Zawodny, J.M.

2015

Uncertainties in the inverse modelling of sulphur dioxide eruption profiles.

Seibert, P.; Kristiansen, N.I.; Richter, A.; Eckhardt, S.; Prata, A.J.; Stohl, A.

2011

Uncertainties in the inverse modelling of sulphur dioxide eruption profiles. Corrigendum.

Seibert, P.; Kristiansen, N.I.; Richter, A.; Eckhardt, S.; Prata, A.J.; Stohl, A.

2012

Uncertainties in the radiative forcing due to sulfate aerosols.

Myhre, G.; Stordal, F.; Berglen, T.F.; Sundet, J.K.; Isaksen, I.S.A.

2004

Uncertaintines in the inverse modelling of sulphur dioxide eruption profiles.

Seibert, P.; Eckhardt, S.; Kristiansen, N.; Prata, F.; Richter, A.; Stohl, A.

2010

Uncertainty analysis of exposure assessment of selected PFASs in the PERFOOD. NILU F

Heinemeyer, G.; Klenow, S.; Dellatte, E.; Herzke, D.

2012

Uncertainty analysis of modelling studies included in air quality assessments.

Moussiopoulos, N.; Sahm, P.; Munchow, S.; Tønnesen, D.; de Leeuw, F.; Tarrasón, L.

2002

Uncertainty assessment in European air quality mapping and exposure studies. NILU F

Denby, B.R.; Horalek, J.; de Leeuw, F.; de Smet, P.

2012

Uncertainty in air quality observations using low-cost sensors.

Castell, N.; Dauge, F.R.; Dongol, R.; Vogt, M.; Schneider, P.

2016

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