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GNSS Transpolar Earth Reflectometry exploriNg System (G-TERN): Mission Concept ArchiMer
Cardellach, Estel; Wickert, Jens; Baggen, Rens; Benito, Javier; Camps, Adriano; Catarino, Nuno; Chapron, Bertrand; Dielacher, Andreas; Fabra, Fran; Flato, Greg; Fragner, Heinrich; Gabarro, Carolina; Gommenginger, Christine; Haas, Christian; Healy, Sean; Hernandez-pajares, Manuel; Hoeg, Per; Jaggi, Adrian; Kainulainen, Juha; Khan, Shfaqat Abbas; Lemke, Norbert M. K.; Li, Weiqiang; Nghiem, Son V.; Pierdicca, Nazzareno; Portabella, Marcos; Rautiainen, Kimmo; Rius, Antonio; Sasgen, Ingo; Semmling, Maximilian; Shum, C. K.; Soulat, Francois; Steiner, Andrea K.; Tailhades, Sebastien; Thomas, Maik; Vilaseca, Roger; Zuffada, Cinzia.
The global navigation satellite system (GNSS) Transpolar Earth Reflectometry exploriNg system (G-TERN) was proposed in response to ESA's Earth Explorer 9 revised call by a team of 33 multi-disciplinary scientists. The primary objective of the mission is to quantify at high spatio-temporal resolution crucial characteristics, processes and interactions between sea ice, and other Earth system components in order to advance the understanding and prediction of climate change and its impacts on the environment and society. The objective is articulated through three key questions. 1) In a rapidly changing Arctic regime and under the resilient Antarctic sea ice trend, how will highly dynamic forcings and couplings between the various components of the ocean,...
Tipo: Text Palavras-chave: Polar science; GNSS; Reflectometry; GNSS-R; Sea ice; Altimetry; Polarimetry; Radio-occultation; Low Earth Orbiter.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00438/54994/56411.pdf
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A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data ArchiMer
Ricker, Robert; Hendricks, Stefan; Kaleschke, Lars; Tian-kunze, Xiangshan; King, Jennifer; Haas, Christian.
Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the sensitivity to certain sea-ice types and thickness ranges. Satellite altimeters, such as CryoSat-2 (CS2), sense the height of the ice surface above the sea level, which can be converted into sea-ice thickness. Relative uncertainties associated with this method are large over thin ice regimes. Another retrieval method is based on the evaluation of surface brightness temperature (TB) in L-band microwave frequencies (1.4 GHz) with a thickness-dependent emission model, as measured by the Soil Moisture and Ocean...
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Ano: 2017 URL: http://archimer.ifremer.fr/doc/00393/50443/51184.pdf
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