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Found 9764 publications. Showing page 196 of 391:

Publication  
Year  
Category

Dietary exposure to selected perfluoroalkyl acids (PFAAs) in four European regions.

Klenow, S.; Heinemeyer, G.; Brambilla, G.; Dellatte, E.; Herzke, D.; de Voogt, P.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.3 Improved estimates of ash cloud top temperature and surface temperature. NILU OR

Kylling, A.

For retrieval of ash mass loading from infrared satellite measurements, estimates of the ash cloud temperature and the surface temperature are required. The ash cloud temperature and surface temperature may be taken from satellite measurements, weather model forecast, or deduced by satellite retrievals.
The report describes various methods to estimate the ash cloud temperatue and surface temperature. The impact of varying cloud temperature and surface temperature on the signal measured by an IR-sensor in space is investigated.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.4 Reduced uncertainty in satellite-based estimates of ash concentrations. NILU OR

Kylling, A.

Satellite-based measurements of volcanic ash give the total amount of volcanic ash per area, typically in units of grams of volcanic ash per square meter. To convert this to concentration the vertical thickness of the ash cloud is needed. The ash cloud thickness is not available from passive remote sensors, e.g. IR-sensors, but may be obtained from ground- and space-based lidars. Dispersion models will also provide information of the ash thickness.
This report gives an overview of volcanic ash cloud thickness as observed by space, aircraft and ground-based lidars. Also, ash cloud thickness as simulated by the Flexpart particle dispersion model is analysed. The impact of varying cloud thickness on the signal measured by IR-sensor in space is investigated. Focus is on the Eyjafjallajokull 2010 eruption for which a unique wealth of data are available.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.2 Improved detection of ash clouds. NILU OR

Kylling, A.

Water and ice clouds and temperature conditions may often influence the detection of volcanic ash affected pixels in infrared satellite images. Several methods are available for the detection of ash clouds in SEVIRI images. Manual adjustments to the methods are often needed for a given ash situation. The report describes various methods for detection of ash affected pixels. A quantitative comparison of the methods is made based on synthetic SEVIRI images from the 2010 Eyafjallajokull eruption.

2013

Modellering av vulkanaske i norsk luftfrom. Pkt. 1.3 Enkle forbedringer av utslippsestimat. NILU OR

Kristiansen, N.I.

The report describes how a transport model is used to simulate the emission of ash from volcanic eruptions and how the ash emissions can be described in the model. A number of methods for calculating ash emissions are presented and the development of improved ash emissions by manual analysis of satellite data is presented.

2013

Heavy metals and POP measurements, 2011. EMEP/CCC

Aas, W.; Breivik, K.

2013

Using emission estimates as exposure metric: Respiratory disease and outdoor air pollution in Kanpur, India. NILU PP

Bartonova, A.; Liu, H.-Y.; Sharma, M.; Katiyar, K.; Dikshit, O.; Schindler, M.

2013

Bringing assessments from committees to research communities. The HENVINET perspective. NILU PP

Bartonova, A.; Keune, H.; Fucic, A.; Gutleb, A.C.; van den Hazel, P.; Koppe J.; the HENVINET consortium.

2013

Source apportionment of PM2,5 at Abu Dhabi sites. NILU PP

Hak, C.; Lopez-Aparicio, S.

2013

Number concentration and modal Structure of indoor/outdoor fine particles in four European Cities. NILU F

Lazaridis, M.; Eleftheriadis, K.; Ždímal, V.,Schwarz, J.; Wagner, Z.; Ondracek, J.; Drossinos, Y.; Glytsos, T.; Vratolis, S.; Tørseth, K.; Smolík, J.

2013

NanoShip: Are there any new particle formation events over the North Sea? NILU F

Kelbus, N.; Massling, A.; Lange, R.; Fiebig, M.; Henzing, B.; Glasius, M.; Bilde, M.; Nguyen, Q.T.; Moerman, M.; de Leeuw, G.; Dal Maso, M.; Niku Kivekäs, Kristensson, A.

2013

Satellite and ground-based retrievals of aerosol optical properties in Arctic (2003-2011). NILU F

Glantz, P.; Tesche, M.; Stebel, K.; Herber, A.; Struthers, H.; Karlsson, J.; Bourassa, A.; Thomason, L.; Maturilli, M.

2013

Air quality status in Europe. NILU F

Guerreiro, C.; de Leeuw, F.; Foltescu, V.

2013

Annual cycle of background aerosol at Troll Station, Antarctica. NILU F

Fiebig, M.; Hirdman, D.; Lunder, C.R.; Ogren, J.A.; Stohl, A.

2013

Annual cycle of background aerosol at Troll Station, Antarctica. NILU PP

Fiebig, M.; Hirdman, D.; Lunder, C.R.; Ogren, J.A.; Stohl, A.

2013

The GAW World Data Centre for Aerosol - features and recent improvements. NILU PP

Fiebig, M.; Fjæraa, A.M.; Tørseth, K.

2013

Addressing pan-Arctic black carbon through the collective measurements of the IASOA observatories. NILU F

Burkhart, J.F.; Sharma, S.; Ogren, J.A.; Starkweather, S.; Bergin, M.H.; Eleftheriadis, K.; Lihavainen, H.; Fiebig, M.

2013

Analysis of Chinese emissions trends of major halocarbons in monitoring the impacts of the Montreal Protocol. NILU F

Li, S.; Park, S.; Park, M.; Kim, J.; Muhle, J.; Fang, X.; Stohl, A.; Weiss, R.F.; Kim, K.

2013

Estimating sulfur hexafluoride (SF6) emissions in China using atmospheric observations and inverse modeling. NILU F

Fang, X.; Thompson, R.; Saito, T.; Yokouchi, Y.; Li, S.; Kim, .J, Kim, K.; Park, S.; Graziosi, F.; Stohl, A.

2013

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