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revision 1.7 by dimitri, Fri Jan 18 02:37:22 2008 UTC revision 1.11 by mlosch, Mon Feb 25 19:30:56 2008 UTC
# Line 1  Line 1 
1    % $Header$
2    % $Name$
3  \documentclass[12pt]{article}  \documentclass[12pt]{article}
4    
5  \usepackage[]{graphicx}  \usepackage[]{graphicx}
# Line 50  Line 52 
52  \maketitle  \maketitle
53    
54  \begin{abstract}  \begin{abstract}
55    Some blabla  
56    As part of ongoing efforts to obtain a best possible synthesis of most
57    available, global-scale, ocean and sea ice data, dynamic and thermodynamic
58    sea-ice model components have been incorporated in the Massachusetts Institute
59    of Technology general circulation model (MITgcm).  Sea-ice dynamics use either
60    a visco-plastic rheology solved with a line successive relaxation (LSR)
61    technique, reformulated on an Arakawa C-grid in order to match the oceanic and
62    atmospheric grids of the MITgcm, and modified to permit efficient and accurate
63    automatic differentiation of the coupled ocean and sea-ice model
64    configurations.
65    
66  \end{abstract}  \end{abstract}
67    
68  \section{Introduction}  \section{Introduction}
# Line 134  The maximum ice pressure $P_{\max}$, a m Line 146  The maximum ice pressure $P_{\max}$, a m
146  both thickness $h$ and compactness (concentration) $c$:  both thickness $h$ and compactness (concentration) $c$:
147  \begin{equation}  \begin{equation}
148    P_{\max} = P^{*}c\,h\,e^{[C^{*}\cdot(1-c)]},    P_{\max} = P^{*}c\,h\,e^{[C^{*}\cdot(1-c)]},
149  \label{icestrength}  \label{eq:icestrength}
150  \end{equation}  \end{equation}
151  with the constants $P^{*}$ and $C^{*}$. The nonlinear bulk and shear  with the constants $P^{*}$ and $C^{*}$. The nonlinear bulk and shear
152  viscosities $\eta$ and $\zeta$ are functions of ice strain rate  viscosities $\eta$ and $\zeta$ are functions of ice strain rate
# Line 309  addition to ice-thickness and compactnes Line 321  addition to ice-thickness and compactnes
321  state variables to be advected by ice velocities, namely enthalphy of  state variables to be advected by ice velocities, namely enthalphy of
322  the two ice layers and the thickness of the overlying snow layer.  the two ice layers and the thickness of the overlying snow layer.
323    
 \section{Funnel Experiments}  
 \label{sec:funnel}  
   
 For a first/detailed comparison between the different variants of the  
 MIT sea ice model an idealized geometry of a periodic channel,  
 1000\,km long and 500\,m wide on a non-rotating plane, with converging  
 walls forming a symmetric funnel and a narrow strait of 40\,km width  
 is used. The horizontal resolution is 5\,km throughout the domain  
 making the narrow strait 8 grid points wide. The ice model is  
 initialized with a complete ice cover of 50\,cm uniform thickness. The  
 ice model is driven by a constant along channel eastward ocean current  
 of 25\,cm/s that does not see the walls in the domain. All other  
 ice-ocean-atmosphere interactions are turned off, in particular there  
 is no feedback of ice dynamics on the ocean current. All thermodynamic  
 processes are turned off so that ice thickness variations are only  
 caused by convergent or divergent ice flow. Ice volume (effective  
 thickness) and concentration are advected with a third-order scheme  
 with a flux limiter \citep{hundsdorfer94} to avoid undershoots. This  
 scheme is unconditionally stable and does not require additional  
 diffusion. The time step used here is 1\,h.  
   
 \reffig{funnelf0} compares the dynamic fields ice concentration $c$,  
 effective thickness $h_{eff} = h\cdot{c}$, and velocities $(u,v)$ for  
 five different cases at steady state (after 10\,years of integration):  
 \begin{description}  
 \item[B-LSRns:] LSR solver with no-slip boundary conditions on a B-grid,  
 \item[C-LSRns:] LSR solver with no-slip boundary conditions on a C-grid,  
 \item[C-LSRfs:] LSR solver with free-slip boundary conditions on a C-grid,  
 \item[C-EVPns:] EVP solver with no-slip boundary conditions on a C-grid,  
 \item[C-EVPfs:] EVP solver with free-slip boundary conditions on a C-grid,  
 \end{description}  
 \ml{[We have not implemented the EVP solver on a B-grid.]}  
 \begin{figure*}[htbp]  
 %GET  \includegraphics[width=\widefigwidth]{\fpath/all_086280}  
   \caption{Ice concentration, effective thickness [m], and ice  
     velocities [m/s]  
     for 5 different numerical solutions.}  
   \label{fig:funnelf0}  
 \end{figure*}  
 At a first glance, the solutions look similar. This is encouraging as  
 the details of discretization and numerics should not affect the  
 solutions to first order. In all cases the ice-ocean stress pushes the  
 ice cover eastwards, where it converges in the funnel. In the narrow  
 channel the ice moves quickly (nearly free drift) and leaves the  
 channel as narrow band.  
   
 A close look reveals interesting differences between the B- and C-grid  
 results. The zonal velocity in the narrow channel is nearly the free  
 drift velocity ( = ocean velocity) of 25\,cm/s for the C-grid  
 solutions, regardless of the boundary conditions, while it is just  
 above 20\,cm/s for the B-grid solution. The ice accelerates to  
 25\,cm/s after it exits the channel. Concentrating on the solutions  
 B-LSRns and C-LSRns, the ice volume (effective thickness) along the  
 boundaries in the narrow channel is larger in the B-grid case although  
 the ice concentration is reduces in the C-grid case. The combined  
 effect leads to a larger actual ice thickness at smaller  
 concentrations in the C-grid case. However, since the effective  
 thickness determines the ice strength $P$ in Eq\refeq{icestrength},  
 the ice strength and thus the bulk and shear viscosities are larger in  
 the B-grid case leading to more horizontal friction. This circumstance  
 might explain why the no-slip boundary conditions in the B-grid case  
 appear to be more effective in reducing the flow within the narrow  
 channel, than in the C-grid case. Further, the viscosities are also  
 sensitive to details of the velocity gradients. Via $\Delta$, these  
 gradients enter the viscosities in the denominator so that large  
 gradients tend to reduce the viscosities. This again favors more flow  
 along the boundaries in the C-grid case: larger velocities  
 (\reffig{funnelf0}) on grid points that are closer to the boundary by  
 a factor $\frac{1}{2}$ than in the B-grid case because of the stagger  
 nature of the C-grid lead numerically to larger tangential gradients  
 across the boundary; these in turn make the viscosities smaller for  
 less tangential friction and allow more tangential flow along the  
 boundaries.  
   
 The above argument can also be invoked to explain the small  
 differences between the free-slip and no-slip solutions on the C-grid.  
 Because of the non-linearities in the ice viscosities, in particular  
 along the boundaries, the no-slip boundary conditions have only a small  
 impact on the solution.  
   
 The difference between LSR and EVP solutions is largest in the  
 effective thickness and meridional velocity fields. The EVP velocity  
 fields appears to be a little noisy. This noise has been address by  
 \citet{hunke01}. It can be dealt with by reducing EVP's internal time  
 step (increasing the number of iterations along with the computational  
 cost) or by regularizing the bulk and shear viscosities. We revisit  
 the latter option by reproducing some of the results of  
 \citet{hunke01}, namely the experiment described in her section~4, for  
 our C-grid no-slip cases: in a square domain with a few islands the  
 ice model is initialized with constant ice thickness and linearly  
 increasing ice concentration to the east. The model dynamics are  
 forced with a constant anticyclonic ocean gyre and by variable  
 atmospheric wind whose mean direction is diagnonal to the north-east  
 corner of the domain; ice volume and concentration are held constant  
 (no thermodynamics and no advection by ice velocity).  
 \reffig{hunke01} shows the ice velocity field, its divergence, and the  
 bulk viscosity $\zeta$ for the cases C-LRSns and C-EVPns, and for a  
 C-EVPns case, where \citet{hunke01}'s regularization has been  
 implemented; compare to Fig.\,4 in \citet{hunke01}. The regularization  
 contraint limits ice strength and viscosities as a function of damping  
 time scale, resolution and EVP-time step, effectively allowing the  
 elastic waves to damp out more quickly \citep{hunke01}.  
 \begin{figure*}[htbp]  
 %GET  \includegraphics[width=\widefigwidth]{\fpath/hun12days}  
   \caption{Ice flow, divergence and bulk viscosities of three  
     experiments with \citet{hunke01}'s test case: C-LSRns (top),  
     C-EVPns (middle), and C-EVPns with damping described in  
     \citet{hunke01} (bottom).}  
   \label{fig:hunke01}  
 \end{figure*}  
   
 In the far right (``east'') side of the domain the ice concentration  
 is close to one and the ice should be nearly rigid. The applied wind  
 tends to push ice toward the upper right corner. Because the highly  
 compact ice is confined by the boundary, it resists any further  
 compression and exhibits little motion in the rigid region on the  
 right hand side. The C-LSRns solution (top row) allows high  
 viscosities in the rigid region suppressing nearly all flow.  
 \citet{hunke01}'s regularization for the C-EVPns solution (bottom row)  
 clearly suppresses the noise present in $\nabla\cdot\vek{u}$ and  
 $\log_{10}\zeta$ in the  
 unregularized case (middle row), at the cost of reduced viscosities.  
 These reduced viscosities lead to small but finite ice velocities  
 which in turn can have a strong effect on solutions in the limit of  
 nearly rigid regimes (arching and blocking, not shown).  
324    
325  \subsection{C-grid}  \subsection{C-grid}
326  \begin{itemize}  \begin{itemize}
# Line 795  We thank Jinlun Zhang for providing the Line 682  We thank Jinlun Zhang for providing the
682  helpful discussions. ML thanks Elizabeth Hunke for multiple explanations.  helpful discussions. ML thanks Elizabeth Hunke for multiple explanations.
683    
684  \bibliography{bib/journal_abrvs,bib/seaice,bib/genocean,bib/maths,bib/mitgcmuv,bib/fram}  \bibliography{bib/journal_abrvs,bib/seaice,bib/genocean,bib/maths,bib/mitgcmuv,bib/fram}
 %\bibliography{journal_abrvs,seaice,genocean,maths,mixing,mitgcmuv,bib/fram}  
685    
686  \end{document}  \end{document}
687    

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