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Found 9990 publications. Showing page 42 of 400:

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Year  
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The MEMORI technology for movable cultural assets.

Dahlin, E.; Grøntoft, T.; Lopez-Aparicio, S.; Bellendorf, P.; Schieweck, A.; Drda-Kühn, K.; Colombini, M.P.; Bonaduce, I.; Vandenabeele, P.; Larsen, R.; Potthast, A.; Marincas, O.; Thickett, D.; Odlyha, M.; Andrade, G.; Hackney, S.; McDonagh, C.; Ackerman, J.J.

2011

The MEMORI technology - an innovative tool for the protection of movable cultural assets. Lecture Notes in Computer Science, 7616

Grøntoft, T.; Dahlin, E.

2012

The MEMORI dosimeter for indoor environment.

Dahlin, E.; Grøntoft, T.; Lopez-Aparicio, S.; Bellendorf, P.; Wittstadt, Schieweck, A.; Drda-Kühn, K.; Perla Colombini, M.; Bonaduce, I.; Vandenabeele, P.; Larsen, R.; Poulsen Sommer, D.V.; Potthast, A.; Marincas, O.; Thickett, D.; Andrade, G.; Tabuenca, A.; Odlyha, M.; Hackney, S.; Laurenson, P.; McDonagh, C.; Ackerman, J.J.

2012

The MEMORI dosimeter for indoor environment. NILU PP

Dahlin, E.; Grøntoft, T.; Lopez-Aparicio, S.; Bellendorf, P.; Wittstadt, Schieweck, A.; Drda-Kühn, K.; Perla Colombini, M.; Bonaduce, I.; Vandenabeele, P.; Larsen, R.; Poulsen Sommer, D.V.; Potthast, A.; Marincas, O.; Thickett, D.; Andrade, G.; Tabuenca, A.; Odlyha, M.; Hackney, S.; Laurenson, P.; McDonagh, C.; Ackerman, J.J.

2012

The MEMORI dosimeter - a user friendly tool for evaluation of indoor air quality for cultural heritage. NILU F

Grøntoft, T.; Wittstadt, K.; Bellendorf, P.; Dahlin, E.; Håland, S.; Bernardo, C.; Ødegård, R.; Røen, H.V.; Heltne, T.

2012

The MEMORI dosimeter - a user friendly tool for evaluation of indoor air quality for cultural heritage. NILU OR

Grøntoft, T.; Wittstadt, K.; Bellendorf, P.; Dahlin, E.; Håland, S.; Bernardo, C.; Ødegård, R.; Røen, H.V.; Heltne, T.

2012

The mass flow and proposed management of bisphenol A in selected Norwegian waste streams.

Arp, H. P. H.; Morin, N. A. O.; Hale, S. E.; Okkenhaug, G.; Breivik, K.; Sparrevik, M.

2017

The magnitude, trend and drivers of the global nitrous oxide budget: a new assessment

Tian, Hanqin; Thompson, Rona Louise; Xu, Rongting; Canadell, Josep G.; Davidson, Eric A.; Ciais, Philippe; Jackson, Robert B.; Winiwarter, Wilfried; Suntharalingam, Parvadha; Regnier, Pierre; Zhou, Feng; Janssens-Maenhout, Greet; Arneth, Almut; Li, Wei; Pan, Naiqing; Pan, Shufen; Prather, Michael J.; Raymond, Peter A.; Shi, Hao; Team, * GCP/INI Synthesis

2019

The link between springtime total ozone and summer UV radiation in Northern Hemisphere extratropics.

Karpechko, A.Yu.; Backman, L.; Thölix, L.; Ialongo, I.; Andersson, M.; Fioletov, V.; Heikkilä, A.; Johnsen, B.; Koskela, T.; Kyrölä, E.; Lakkala, K.; Myhre, C.L.; Rex, M.; Sofieva, V.F.; Tamminen, J.; Wohltmann, I.

2013

The libRadtran software package for radiative transfer calculations (version 2.0.1).

Emde, C.; Buras-Schnell, R.; Kylling, A.; Mayer, B.; Gasteiger, J.; Hamann, U.; Kylling, J.; Richter, B.; Pause, C.; Dowling, T.; Bugliaro, L.

2016

The Lagrangian particle dispersion model FLEXPART-WRF version 3.1.

Brioude, J.; Arnold, D.; Stohl, A.; Cassiani, M.; Morton, D.; Seibert, P.; Angevine, W.; Evan, S.; Dingwell, A.; Fast, J. D.; Easter, R. C.; Pisso, I.; Burkhart, J.; Wotawa, G.

2013

The Lagrangian particle dispersion model FLEXPART version 10.4

Pisso, Ignacio; Sollum, Espen; Grythe, Henrik; Kristiansen, Nina Iren; Cassiani, Massimo; Eckhardt, Sabine; Arnold, Delia; Morton, Don; Thompson, Rona Louise; Zwaaftink, Christine Groot; Evangeliou, Nikolaos; Sodemann, Harald; Haimberger, Leopold; Henne, Stephan; Brunner, Dominik; Burkhart, John; Fouilloux, Anne Claire; Brioude, Jerome; Philipp, Anne; Seibert, Petra; Stohl, Andreas

The Lagrangian particle dispersion model FLEXPART in its original version in the mid-1990s was designed for calculating the long-range and mesoscale dispersion of hazardous substances from point sources, such as those released after an accident in a nuclear power plant. Over the past decades, the model has evolved into a comprehensive tool for multi-scale atmospheric transport modeling and analysis and has attracted a global user community. Its application fields have been extended to a large range of atmospheric gases and aerosols, e.g., greenhouse gases, short-lived climate forcers like black carbon and volcanic ash, and it has also been used to study the atmospheric branch of the water cycle. Given suitable meteorological input data, it can be used for scales from dozens of meters to global. In particular, inverse modeling based on source–receptor relationships from FLEXPART has become widely used. In this paper, we present FLEXPART version 10.4, which works with meteorological input data from the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS) and data from the United States National Centers of Environmental Prediction (NCEP) Global Forecast System (GFS). Since the last publication of a detailed FLEXPART description (version 6.2), the model has been improved in different aspects such as performance, physicochemical parameterizations, input/output formats, and available preprocessing and post-processing software. The model code has also been parallelized using the Message Passing Interface (MPI). We demonstrate that the model scales well up to using 256 processors, with a parallel efficiency greater than 75 % for up to 64 processes on multiple nodes in runs with very large numbers of particles. The deviation from 100 % efficiency is almost entirely due to the remaining nonparallelized parts of the code, suggesting large potential for further speedup. A new turbulence scheme for the convective boundary layer has been developed that considers the skewness in the vertical velocity distribution (updrafts and downdrafts) and vertical gradients in air density. FLEXPART is the only model available considering both effects, making it highly accurate for small-scale applications, e.g., to quantify dispersion in the vicinity of a point source. The wet deposition scheme for aerosols has been completely rewritten and a new, more detailed gravitational settling parameterization for aerosols has also been implemented. FLEXPART has had the option of running backward in time from atmospheric concentrations at receptor locations for many years, but this has now been extended to also work for deposition values and may become useful, for instance, for the interpretation of ice core measurements. To our knowledge, to date FLEXPART is the only model with that capability. Furthermore, the temporal variation and temperature dependence of chemical reactions with the OH radical have been included, allowing for more accurate simulations for species with intermediate lifetimes against the reaction with OH, such as ethane. Finally, user settings can now be specified in a more flexible namelist format, and output files can be produced in NetCDF format instead of FLEXPART's customary binary format. In this paper, we describe these new developments. Moreover, we present some tools for the preparation of the meteorological input data and for processing FLEXPART output data, and we briefly report on alternative FLEXPART versions.

2019

The Lagrangian particle dispersion model FLEXPART version 10.4

Pisso, Ignacio; Sollum, Espen; Grythe, Henrik; Kristiansen, Nina Iren; Cassiani, Massimo; Eckhardt, Sabine; Arnold, Delia; Morton, Don; Thompson, Rona Louise; Zwaaftink, Christine Groot; Evangeliou, Nikolaos; Sodemann, Harald; Haimberger, Leopold; Henne, Stephan; Brunner, Dominik; Burkhart, John; Fouilloux, Anne Claire; Brioude, Jerome; Philipp, Anne; Seibert, Petra; Stohl, Andreas

2020

The Lagrangian particle dispersion model FLEXPART version 10.

Pisso, I.; Sollum, E.; Grythe, H.; Kristiansen, N.; Cassiani, M.; Eckhardt, S.; Thompson, R.; Zwaaftnik, C. G.; Evangeliou, N.; Hamburger, T.; Sodemann, H.; Haimberger, L.; Henne, S.; Brunner, D.; Burkhart, J.; Fouilloux, A.; Fang, X.; Phillip, A.; Seibert, P.; Stohl, A.

2017

The Kyoto Protocol: climate change.

Reimann, S.; Stordal, F. with contrib. from Ciais, P.; Goede, A.; Lazaridis, M.; Mazière, M. De, Zander, R.

2004

The Kongsfjorden system - a flagship programme for Ny-Ålesund. A concluding document from Workshop 28-31 March, 2008. Kortrapport 11/2009

Gabrielsen, G.W.; Hop, H.; Hübner, C.; Kallenborn, R.; Weslawski, J.M.; Wiencke, C. (eds.)

2009

The Integrated Carbon Observation System in Europe

Heiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; Chen, Huilin; Gielen, Bert; Gkritzalis, Thanos; Hammer, Samuel; Hartman, Susan; Herbst, Mathias; Janssens, Ivan A.; Jordan, Armin; Juurola, Eija; Karstens, Ute; Kasurinen, Ville; Kruijt, Bart; Lankreijer, Harry; Levin, Ingeborg; Linderson, Maj-Lena; Loustau, Denis; Merbold, Lutz; Myhre, Cathrine Lund; Papale, Dario; Pavelka, Marian; Pilegaard, Kim; Ramonet, Michel; Rebmann, Corinna; Rinne, Janne; Rivier, Leonard; Saltikoff, Elena; Sanders, Richard; Steinbacher, Martin; Steinhoff, Tobias; Watson, Andrew; Vermeulen, Alex T.; Vesala, Timo; Vitkova, Gabriela; Kutsch, Werner

Since 1750, land use change and fossil fuel combustion has led to a 46 % increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limiting global temperature increases to well below 2°C above pre-industrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere is sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.

2021

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