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Tellus A: Dynamic Meteorology and Oceanography Volume 70, 2018 - Issue 1
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Research Article

Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model

Graham StonebridgeDepartment of Systems Design Engineering, University of Waterloo, Waterloo, Canada.View further author information
,
K. Andrea ScottDepartment of Systems Design Engineering, University of Waterloo, Waterloo, Canada.Correspondence[email protected]
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&
Mark BuehnerData Assimilation and Satellite Meteorology Research Section, Environment and Climate Change Canada, Dorval, Canada.View further author information
Pages 1-13 | Received 25 Sep 2017, Accepted 20 Feb 2018, Published online: 12 Mar 2018

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Read on this site (1)

Nazanin Asadi, K. Andrea Scott & David A. Clausi. (2019) Data fusion and data assimilation of ice thickness observations using a regularisation framework. Tellus A: Dynamic Meteorology and Oceanography 71:1.
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Articles from other publishers (3)

Nicholas Ssessanga, Wojciech Jacek Miloch, Lasse Boy Novock Clausen & Daria Kotova. (2023) Performance Analysis of a Strong Constraint 4DVar and 4DEnVar on Regional Ionosphere Imaging. Space Weather 21:12.
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Emma K. Fiedler, Matthew J. Martin, Ed Blockley, Davi Mignac, Nicolas Fournier, Andy Ridout, Andrew Shepherd & Rachel Tilling. (2022) Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM). The Cryosphere 16:1, pages 61-85.
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Jiping Xie, François Counillon & Laurent Bertino. (2018) Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12:11, pages 3671-3691.
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