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Fourati H., Manamanni, N. Afilal, L. & Y. Handrich (2009). (2010).
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Berhanu Tesfaye. (2013). An isotopic approach towards understanding nitrate formation pathways and revealing the photochemistry of nitrate in snow.
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Morin S, Erbland J, Savarino J, Domine F, Bock J, Friess U, Jacobi H-W, Sihler H, Martins J M F, . (2012). An isotopic view on the connection between photolytic emissions of NOx from the Arctic snowpack and its oxidation by reactive halogens
. J. Geophys. Res., 117, D00R08–.
Keywords: halogen, isotopes, nitrate, ozone, 0305 Atmospheric Composition and Structure: Aerosols and particles (0345, 4801, 4906), 0365 Atmospheric Composition and Structure: Troposphere: composition and chemistry, 0454 Biogeosciences: Isotopic composition and chemistry (1041, 4870), 0736 Cryosphere: Snow (1827, 1863), 9315 Geographic Location: Arctic region (0718, 4207),
Programme: 1017
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. (2013). An objective rationale for the choice of regularisation parameter with application to global multiple-frequency S-wave tomography
. Solid Earth, 4(2), 357–371.
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Fabrice Genevois, Christophe Barbraud. (2021). (Vol. 44).
Keywords: Antarctic Interspecific feeding Penguin
Programme: 109
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Provost C., Genco M.L. & Lyard F L.E. (1993). An ocean model for the southern ocean..
Abstract: Fourth International Conference on Southern Hemisphere Meteorology and Oceanography
Programme: 688
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. (2001). An Oceanic Cold Reversal during the Last Deglaciation. Science, 293, 2074–2077.
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. (2013). Clim. Past, 9, 1715–1731.
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Lewden A., Bost C., Bost C.-A. & Y. Handrich. (2014). An over-cost of being a pelagic bird: a possible energetic conflict between thermoregulation and digestive processes.
The 5th International Bio-logging Science Symposium. 22-27 September 2014. Strasbourg, France..
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Belehaki, I. Stanislawska, J. Lilensten. (2009). An Overview of Ionosphere – Thermosphere Models Available for Space Weather Purposes.
Abstract: Our objective is to review recent advances in ionospheric and thermospheric modeling that
aim at supporting space weather services. The emphasis is placed on achievements of European
research groups involved in the COST Action 724. Ionospheric and thermospheric modeling on time
scales ranging from a few minutes to several days is fundamental for predicting space weather effects
on the Earth's ionosphere and thermosphere. Space weather affects telecommunications, navigation
and positioning systems, radars, and technology in space. We start with an overview of the physical
effects of space weather on the upper atmosphere and on systems operating at this regime. Recent
research on drivers and development of proxies applied to support space weather modeling efforts are
presented, with emphasis on solar radiation indices, solar wind drivers and ionospheric indices. The
models are discussed in groups corresponding to the physical effects they are dealing with, i.e.
bottomside ionospheric effects, trans-ionospheric effects, neutral density and scale height variations,
and spectacular space weather effects such as auroral emissions. Another group of models dealing with
global circulation are presented here to demonstrate 3D modeling of the space environment. Where
possible we present results concerning comparison of the models' performance belonging to the same
group. Finally we give an overview of European systems providing products for the specification and
forecasting of space weather effects on the upper atmosphere, which have implemented operational
versions of several ionospheric and thermospheric models.
Programme: 1026
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