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C-band sea ice model
Using the scatterometer data from the ERS-2 satellite, a classification algorithm for sea/ice dis...
JA Verspeek, A Stoffelen, S de Haan | Conference: Ocean and Sea Ice second workshop | Organisation: EUMETSAT | Place: Perros-Guirec, France | Year: 2005 | First page: 0 | Last page: 0
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On Bayesian Scatterometer Wind Inversion
In a quest for a generic unbiased scatterometer wind inversion method, the different inversion pr...
A Stoffelen, M Portabella | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 44 | Year: 2006 | First page: 1523 | Last page: 1533 | doi: 10.1109/TGRS.2005.862502
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Analysis of the SMOS ocean salinity inversion algorithm
As part of the preparation for the European Space Agency SMOS (Soil Moisture and Ocean Salinity) ...
C Gabarró, M Portabella, M Talone, J Font | Conference: International Geoscience and Remote Sensing Symposium (IGARSS) | Organisation: IEEE | Place: Barcelona, Spain | Year: 2007 | First page: 0 | Last page: 0
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A mechanism of decadal variability of the sea-ice volume in the Northern Hemisphere
A long-term simulation performed with a coarse-resolution, global, atmosphere-ocean-sea-ice model...
H Goosse, FM Selten, RJ Haarsma, JD Opsteegh | Status: published | Journal: Clim. Dyn. | Volume: 19 | Year: 2002 | First page: 61 | Last page: 83 | doi: 10.1007/s00382-001-0209-5
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NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities
NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...
JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321
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