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• W2141927412 startingPage "315" @default.
• W2141927412 abstract "Abstract. Hybrid models, or depth-integrated flow models that include the effect of both longitudinal stresses and vertical shearing, are becoming more prevalent in dynamical ice modeling. Under a wide range of conditions they closely approximate the well-known First Order stress balance, yet are of computationally lower dimension, and thus require less intensive resources. Concomitant with the development and use of these models is the need to perform inversions of observed data. Here, an inverse control method is extended to use a hybrid flow model as a forward model. We derive an adjoint of a hybrid model and use it for inversion of ice-stream basal traction from observed surface velocities. A novel aspect of the adjoint derivation is a retention of non-linearities in Glen's flow law. Experiments show that in some cases, including those nonlinearities is advantageous in minimization of the cost function, yielding a more efficient inversion procedure." @default.
• W2141927412 created "2016-06-24" @default.
• W2141927412 creator A5035617065 @default.
• W2141927412 creator A5079245654 @default.
• W2141927412 date "2011-04-13" @default.
• W2141927412 modified "2023-10-03" @default.
• W2141927412 title "Data assimilation using a hybrid ice flow model" @default.
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• W2141927412 doi "https://doi.org/10.5194/tc-5-315-2011" @default.
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