World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Finite-element Sea Ice Model (Fesim), Version 2 : Volume 8, Issue 6 (11/06/2015)

By Danilov, S.

Click here to view

Book Id: WPLBN0003973168
Format Type: PDF Article :
File Size: Pages 15
Reproduction Date: 2015

Title: Finite-element Sea Ice Model (Fesim), Version 2 : Volume 8, Issue 6 (11/06/2015)  
Author: Danilov, S.
Volume: Vol. 8, Issue 6
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Iakovlev, N., Wang, Q., Timmermann, R., Danilov, S., Sidorenko, D., Jung, T.,...Kimmritz, M. (2015). Finite-element Sea Ice Model (Fesim), Version 2 : Volume 8, Issue 6 (11/06/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany. The Finite-Element Sea Ice Model (FESIM), used as a component of the Finite-Element Sea ice Ocean Model, is presented. Version 2 includes the elastic-viscous-plastic (EVP) and viscous-plastic (VP) solvers and employs a flux corrected transport algorithm to advect the ice and snow mean thicknesses and concentration. The EVP part also includes a modified approach proposed recently by Bouillon et al. (2013), which is characterized by an improved stability compared to the standard EVP approach. The model is formulated on unstructured triangular meshes. It assumes a collocated placement of ice velocities, mean thicknesses and concentration at mesh vertices, and relies on piecewise-linear (P1) continuous elements. Simple tests for the modified EVP and VP solvers are presented to show that they may produce very close results provided the number of iterations is sufficiently high.

Summary
Finite-Element Sea Ice Model (FESIM), version 2

Excerpt
Bouillon, S., Fichefet, T., Legat, V., and Madec, G.: The elastic-viscous-plastic method revisited, Ocean Model. 71, 2–12, 2013.; Budgell, W. P., Oliveira, A., and Skogen, M. D.: Scalar advection schemes for ocean modeling on unstructured triangular grids, Ocean Dynam. 57, 339–361, 2007.; Gao, G., Chen, C., Qi, J., and Beardsley, R. C.: An unstructured-grid, finite-volume sea ice model: Development, validation, and application, J. Geophys. Res., 116, C00D04, doi:10.1029/2010JC006688, 2011.; Hibler, W. D.: A dynamic thermodynamic sea ice model, J. Phys. Oceanogr., 9, 817–846, 1979.; Hunke, E. C.: Viscous-plastic sea ice dynamics with the EVP model: Linearization issues, J. Comp. Phys., 170, 18–38, 2001.; Hunke, E. C., and Dukowicz, J. K.: An elastic-Viscous-Plastic model for sea ice dynamics, J. Phys. Oceanogr., 27, 1849–1867, 1997.; Hunke, E. C. and Lipscomb, W. H.: Cice: the Los Alamos sea ice model documentation and software user's manual. Tech. Rep., T-3 Fluid Dynamics Group, Los Alamos National Laboratory, Los Alamos NM 87545, 2008.; Hutchings, J. K., Jasak, H., and Laxon, S. W.: A strength implicit correction scheme for the viscous-plastic sea ice model, Ocean Modell., 7, 111–133, 2004.; Kimmritz, M., Danilov, S., and Losch, M.: On the convergence of the modified elastic-viscous-plastic method for solving the sea ice momentum equation, J. Comput. Phys., 296, 90–100, 2015.; Large, W. G. and Yeager, S. G.: The global climatology of an interannually varying air-sea flux data set, Clim. Dynam., 33, 341–364, 2009.; Lemieux, J.-F. and Tremblay, B.: Numerical convergence of viscous–plastic sea ice models, J. Geophys. Res., 114, C05009, doi:10.1029/2008JC005017, 2009.; Lemieux, J.-F., Knoll, D., Tremblay, B., Holland, D., and Losch, M.: A comparison of the Jacobian-free Newton–Krylov method and the EVP model for solving the sea ice momentum equation with a viscous-plastic formulation: a serial algorithm study, J. Comput. Phys., 231, 5926–5944, 2012.; Lietaer, O., Fichefet, T., and Legat, V.: The effects of resolving the Canadian Arctic Archipelago in a finite element sea ice model, Ocean Modell., 24, 140–152, 2008.; Löhner, R., Morgan, K., Peraire, J., and Vahdati, M.: Finite-element flux-corrected transport (FEM-FCT) for the Euler and Navier–Stokes equations, Int. J. Numer. Methods Fluids, 7, 1093–1109, 1987.; Losch, M. and Danilov, S.: On solving the momentum equations of dynamic sea ice models with implicit solvers and the elastic–viscous–plastic technique, Ocean Modell., 41, 42–52, 2012.; Owens, W. B. and Lemke, P.: Sensitivity studies with a sea ice-mixed layer-picnocline modelin the Weddell Sea, J. Geophys. Res., 95, 9527–9538, 1990.; Parkinson, C. L. and Washington, W. M.: A large-scale numerical model of sea ice, J. Geophys. Res., 84, 311–337, 1979.; Sidorenko, D., Wang, Q., Danilov, S., and Schröter, J.: FESOM under Coordinated Ocean-ice Reference Experiment forcing, Ocean Dynam., 61, 881–890, doi:10.1007/s10236-011-0406-7, 2011.; Sidorenko, D., Rackow, T., Jung, T., Semmler, T., Barbi, D., Danilov, S., Dethloff, D., Dorn, W., Fieg, K., Goessling, H. F., Handorf, D., Harig, S., Hiller, W., Juricke, S., Losch, M., Schröter, J., Sein, D. V., and Wang, Q.: Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part I: model formulation and mean climate, Clim. Dynam., 44, 757–780, doi:10.1007/s00382-014-2290-6, 2015.; Timmermann, R. and Hellmer, H. H.: Southern Ocean warming and increased ice shelf basal melting in the 21st and 22nd centuries based on coupled ice-ocean finite-element modelling, Ocean Dynam., 63, 1011–1026, doi:10.1007/s10236-013-0642-0, 2013.; Timmermann, R., Danilov, S.

 

Click To View

Additional Books


  • A Method to Represent Ozone Response to ... (by )
  • The Polar Vegetation Photosynthesis and ... (by )
  • How Realistic Are Air Quality Hindcasts ... (by )
  • Modelling Sub-grid Wetland in the Orchid... (by )
  • Formulation of the Dutch Atmospheric Lar... (by )
  • Evaluating the Capability of Regional-sc... (by )
  • A Model Using Marginal Efficiency of Inv... (by )
  • Gpupom: a Gpu-based Princeton Ocean Mode... (by )
  • Simulating Emission and Chemical Evoluti... (by )
  • Reduction of Predictive Uncertainty in E... (by )
  • Parallel Algorithms for Planar and Spher... (by )
  • The Generic Messy Submodel Tendency (V1.... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.