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Satellite-observed drop of Arctic sea ice growth in winter 2015-2016 ArchiMer
Ricker, Robert; Hendricks, Stefan; Girard-ardhuin, Fanny; Kaleschke, Lars; Lique, Camille; Tian-kunze, Xiangshan; Nicolaus, Marcel; Krumpen, Thomas.
An anomalous warm winter 2015–2016 lead to the lowest winter ice extent and highlights the sensitivity of the Arctic sea ice. Here we use the 6 year record of an improved sea ice thickness product retrieved from data fusion of CryoSat-2 radar altimetry and Soil Moisture and Ocean Salinity radiometry measurements to examine the impact of recent temperature trend on the Arctic ice mass balance. Between November 2015 and March 2016, we find a consistent drop of cumulative freezing degree days across the Arctic, with a negative peak anomaly of about 1000 degree days in the Barents Sea, coinciding with an Arctic-wide average thinning of 10 cm in March with respect to the 6 year average. In particular, the loss of ice volume is associated with a significant...
Tipo: Text Palavras-chave: Arctic sea ice; Sea ice thickness; Remote sensing; CryoSat-2; SMOS; Sea ice growth.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00382/49325/49701.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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