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Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | 1,2 1 discussions.cls. , and G. Durand 1,2,3 X class copernicus E T , O. Gagliardini A 1,2

, J. Weiss 1,2

CNRS, LGGE, 38041 Grenoble, France Univ. Grenoble Alpes, LGGE, 38041Institut Grenoble, Universitaire France. de France, Paris, France ([email protected]) 1 2 3 Correspondence to: J. Krug J. Krug model calving Combining damage and to

with version 4.1 of the L Manuscript prepared for The Cryosphere Discuss. Date: 27 October 2014 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ). ? ) are two ? ) and in Greenland between ? ). In 2013, ice loss in Antarctica due to ice- ?? ) or the disintegration of the floating tongue of 2 ? ). These figures could be higher, as destabilization ? 144 gigatonnes per year ( ±

), due to either intensified submarine melting, or to an increase in the rate of iceberg ?

part of adjacent glaciers. To accurately predict future changes in the ice sheet, improved un- The collapse of LarsenJakobshavn B Isbrae, ice on shelf the inexamples west 2002 on coast how ( perturbations of near the the Greenland ice front ice can sheet affect the in upstream the and even same the year grounded ( and acceleration due to loss of buttressing, which in turn further increases ice discharge ( of the front can affect the equilibrium of the whole glacier, leading to both upstream thinning of the front can exert strong positive feedback on glacier dynamics. Indeed, the abrupt collapse berg calving has been estimated at 20001321 and 2005, at 357 gigatonnes per year ( equally distributed between these two sink terms ( calving. Recent observations show that despite some regional differences, the ice loss is almost decades ( The discharge of ice from the Greenland and Antarctic ice sheets increased sharply in recent 1 Introduction stable position of the Helheim ice front between 1930 and today. response of the model and to produce a dynamic equilibrium in agreement with the observed outlet glacier. This made it possible to identify sets of model parameters to enable a consistent model was calibrated on Helheim Glacier, south-west Greenland, well monitored, fast flowing downward, at very short timescales, when the ice body is considered as an elastic medium. The and the rapid propagationover of long crevasses timescales when and calving enhances occurs. First, the damage viscous to flow the of ice ice. occurs Then brittle propagate fracture mechanics. This combination accounts for both the slow sub-critical surface crevassing present a new calving model relying on both continuum damage mechanics and linear elastic Calving of icebergs is a major negative component of polar ice-sheet mass balance. Here we Abstract

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ). ). ? ??? . These authors ). This type of ?? ?? accounts for basal ? ) or to average crevasse fields ( ??? ). Altough the model of 3 ), damage mechanics has recently been applied to ???? ? ) has been used to describe the rapid propagation of surface ??

, and depends on the equilibrium between longitudinal stretching (opening term) and cryo- ? Another approach to modelling calving uses discrete elements models ( Most studies dealing with iceberg calving follow the approach proposed by In the last few years, some authors have used continuum damage mechanics to represent both

ful reproduction of variations in the front ( and the amplitude of calving. individual marine-terminated glaciers in Greenland and Antarctica, and enabled the success- history on the accumulation of fractures, which may influence both the time of occurrence static (closing term). This so-called “crevasse depth” criterion has been applied to as the stress concentration at the tip of crevasses, and does not take into account the role of the of Consequently, it cannot account for the physical processes related to fracture propagation, such those concerning iceberg calving. low the water level. The computation of the crevasse penetration depth is based on the work it is based on an instantaneous stress balance combined with an empirical criterion for calving. derstanding and representation of the processes that occur at the front are necessary, especially introduced a criterion suggesting that calving occurs when a crevasse penetrates the glacier be- crevasse ,propagation which improves the ability of a model to reproduce observed behaviour,

and their effects on the viscous behaviour of the ice while keeping a continuum approach( the development from micro-defects in the ice to the development of macro-scale crevasses, models is not straightforward, and their high computation cost limits their usefulness. tion. However, coupling such models with finite-difference or finite-element glacier or ice-sheet model has produced interesting results in terms of calving processes and iceberg size distribu- Initially developed for metal deformationice ( dynamics to study the appearance of a single crevasse ( Linear elastic fracture mechanics ( usually difficult to achieve when modeling large ice masses. The reason is that a realistic representation of crevasses requires a high mesh refinement that is and bottom crevasses through the ice. This approach has rarely been used in ice-sheet modeling.

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20 25 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (3) (1) (2) . Ice 3 / ) law, which reads: σ ( the density of ice and tr i ρ − Navier-Stokes equations = i.e. p Glen’s flow and I p − S = σ the gravity force vector, 4 g , with p and the isotropic pressure = 0 S ) = 0 g i u ρ ( represents the , ˙ ε σ

div ) + η

σ

( Here we consider an approach that combines between damage mechanics and fracture me- = 2 the velocity vector. The Cauchy stress tensor can be expressed as a function of the deviatoric

is represented by a non-linear Norton-Hoff type flow lawS called where u stress tensor

div without an inertial term), meaning the and the mass balance:

a non-linear . The ice flow is ruled by Stokes equations ( We consider an incompressible, isothermal and gravity-driven ice-flow in which the ice exhibits 2.1.1 Ice flow and rheology 2.1 Governing equations for ice flow 2 Model Physics further research. 3, the results of sensitivity tests on Helheim Glacier are discussed and suggestions are made for beginning of damage and its development, fracture propagation and its arrest criterion. In Sect. elastic medium. The description of the physics used is presented in Section 2, and covers the events that occur at shorter timescales, during which the ice can be considered as a purely at long timescales, while the use of fracture mechanics makes it possible to consider calving acterizes calving. events The slow development of damage represents evolution of viscous ice age as the ice is transported through the glacier, and the critical fracture propagation that char- chanics. The proposed physically-based calving model can cover both the accumulation of dam-

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (4) (5) (6) ), it obeys is written: in ice-flow z η , 6 is the fluidity . y 5 , A x and 58 . 0 ) are the surface velocities. s ,w s ,v s . The effective viscosity u ˙ ε represents the vertical component of the basal b 5 a , usually varying between 2) to the strain rate , S = 1 i ( i t s b u a a 1 is prescribed as a vertical component only. As we disregard any − = = s m b s b a w w Cu enhancement factor /n − − ) = s n b b − respectively refer to normal (pointing outward) and tangential directions. | ∂y 2 ∂y ∂z 2) ∂z ˙ ) is an i (1 ε , s t b n ) are the basal velocities, and I v v · b E /n = 1 + σ + 1 and ,w ( i s b b − · n ) i represents the square of the second invariant of the strain rate tensor, ∂x ), depending on the fabric and on the stress state. ,v ∂x t ∂z refers to the elevation of the upper surface, and ( ∂z 2 b ? ˙ s b ε 2 s u = 0 ( = EA = 0 u u z I = 0 (

b s s | | |

2 1 + +

i i n

· b s

Similar to the upper free surface, the bottom surface evolution is described by: nt nn nt

=

u σ σ σ ∂t ∂t ∂z

∂z This equation links the deviatoric stress where parameter, and where where ( Weertman-type friction law: The grounded part of the glacier undergoes shearing stress, which is represented by a non-linear mass balance (melting or accretion). At the bed, the glacier can be either grounded or floating. The upper surface is defined as a stress-free surface. In the coordinate system ( η models ( 2.1.2 Boundary conditions The surface mass balance

effect of atmospheric pressure, normal and tangential stresses at the surface are zero: Subscripts the following equation:

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10 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (7) . The inverse ? is the norm of b u and the grounding line, ? i.e. by reducing the mismatch C to quantify the degradation of me- ? is the elevation of the bottom surface. The is the frontal mass balance. The ice front is b the normal outward-pointing unit vector to z f b a n 6 , with b n ) b f n a · the sea level, and u = 0) w ( l , f ) − z u u − − ) f w = are respectively the friction coefficient and exponent. b l is used to infer the basal friction coefficient ( b z 3 ∂z ? ∂x g / u − f 2) w 2) , , ρ ) are the frontal velocities, and w w ( l = 1 f ( + = 1 g = 1 m ,w f i w i f max ρ ∂y ,v ∂x is the water density, − − and f f w = 0 ( u v = = 0 ( = C ρ f b f b

| | + | |

i i

f The physical and numerical parameters used in this paper are listed in Table 1. Some bound- The ice front is defined as a third free-surface, which can also undergo melting. In analogy to nn nt nt nn

∂t

σ σ σ σ

∂x where ( chanical properties resulting from the nucleation of internal defects such as micro-cracks or Continuum damage mechanics (CDM) was introduced by 2.2 Continuum damage mechanics model in detail in Sect.3.2. ary conditions are specific to the 2D flow line application applied in Sect. 3, and are described conditions read: position between the grounded and floating part of the basal boundary, exposed to th water pressure below sea level and is stress-free above sea level. These Neumann

the other free surfaces this gives: where the sliding velocity where is part of the solution andmethod is described computed in solving a contact problembetween following observed and modelled surface velocities.

normal to the surface: the bedrock. Where the glacier is floating, the free surface is forced by an external sea pressure

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | , D (8) . 1 . While the ice 1 , and thus changes S and 0 the grid size, a few me- approaches D i.e. ). , strain is affected by the damage only through 7 ? ????? , full damage is attainable when , here we consider isotropic damage as a first approximation. is a scalar quantity that varies between ? = 0 D D , we consider that CDM describes the evolution of phenomena in the medium , ? ) D ). However, following

S − ??

(1

The principle of CDM models is based on the use of a damage variable, usually denoted To describe the effect of damage on the ice flow, an effective deviatoric part of the Cauchy =

˜

area only. Using the equivalence principle of This effective stress can be understood as the original forcean applied effective stress to entering an the effective constitutive undamaged equation (see Eq. 3) in place of opening of crevasses in hanging glaciers ( with some glaciological problems such as the flow acceleration of large damaged areas or the weight following the surface slope. CDM has been successfully used in ice-flow models to deal Slow is typically encountered in glaciology, when ice flows slowly under its own In this case, the state variable is always considered as a continuous material, even when the level of damage is very high. as stated by from a virgin state to the triggering of macroscopic fractures. In this approach, the material of crevasses on ice flow and not to describe the propagation of an individual crevasse. Here, agation of the macro-crackConsequently, itself. in the So present far, work, there we used is damage no mechanics to evidence deal for with such the effect ductile of failure a field in ice. so-called fracture process zone (FPZ), damage mechanics has been used to describe the prop- of a macro-crack is associated with the nucleation of defects (voids) ahead of the crack tip in a element over which damage is considered. In the case of ductile failure, when the propagation tensor ( voids. In this case, the internal defects must be small compared to the representative volume ters). When considering an anisotropic approach, damage must be represented as a second order S

from a population of defects whose effect is averaged at mesoscale( stress tensor is introduced: which represents the degradation of mechanical properties (stiffness, viscosity, etc) resulting is considered undamaged for

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10 15 20 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ). ? (9) (10) and a e.g. χ : ), and the Hayhurst criterion ? damage enhancement factor 8 in the Stokes equation (See Eq. 1). Thereby, there σ ), the von Mises criterion ( ? 0 > ) that can be written as a function of a damage criterion χ ) ( χ f ( if otherwise f , henceforth referred to as ) B χ ( f 0 ’s mathematical formalism, this equation does not involve the spin tensor, as ?  = ` es criterion, expressed in terms of deviatoric stresses only, is independent of cryo- χ D · ∇ B u

). However, these criteria are not necessarily applicable to damage to ice: the Coulomb +

) =

Our approach models the non-linear viscous flow of ice. The viscous behaviour of the ice The choice of the damage criterion is crucial for the representation of damage increase, and χ

( ∂t

??? ∂D

static “pressure” (either positive or negative) and symmetric in tension and compression. As the criterion is used for a representation of frictional process under compressive loading ( recommend an advection equation reading: and evolves over time depending on the stress field. To take this evolution into account, we Compared with f ( The von Mis Damage is a property of the material at the mesoscale. It is therefore advected by the ice flow, 2.2.1 Damage evolution pressure. a damage source term numerical parameter to the ice only affects the deviatoric part of the Cauchy stress tensor, and not the cryostatic the damage defined here is isotropic and results in a scalar variable. The right side represents to the strain rate tensor. Consequently, when accounting only for viscous deformation, damage is described using Glen’s flow law, which links the deviatoric part of the Cauchy stress tensor is no need to define an effective strain rate. criteria are the Coulomb criterion ( its physical expression is a critical step in the formulation of a CDM model. Commonly used enhancement factor. the expression of the Cauchy stress tensor In Sect. 3, we present some experiments to test the sensitivity of the CDM model to the damage

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15 20 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (11) ), which ?? follows a stan- arising from the ), we believe this th th th ` ? es stress invariant, σ σ δσ , where th is the mean stress threshold, and δσ th ± σ . th σ is applied. The sensitivity of the model 05 . = 0 0 th > corresponds to the overload that must be ap- σ th : th σ 9 , who argued that crevasses tend to open normal σ th ). To avoid negative values for ? σ ? , who stated that it is the longitudinal stretching asso- } ? [Fig. 1 about here.] th σ − ) D I σ − (1 , 0 { . This choice is consistent with the fact that we want to describe crevasse open- I σ ) = max represents a stress threshold for damage initiation. The corresponding envelope of the ,D

th th σ

I σ This formulation of the damage criterion implies some limitations to the calving model. In The stress threshold for damage initiation Instead, we use a pure-tensile criterion, described as a function of the maximum principal

( usually reaches several tens of kilo-Pascals ( sub-grid scale heterogeneity, the lower bound

mains consistent with the approach of particular, it does not account for shear and compressive failure mechanisms. However, it re-

heterogeneity, we introduce some noise on plied in order to reach the ice strength and initiate degradation. To account for sub-grid scale to this parameter is discussed in Sect. 3.

damage criterion is represented in the space of Mohr circle in figure 1. Here

dard normal distribution with a standard deviation of ice does not behave in criterion theis same not way suited under toinvolves tensile the describe or maximum ice compressive principal stresses fracturing ( stress, processes. cryostatic The pressure Hayhurst and criterion the ( von Mis χ to investigate in future work. The criterion reads as follow: another criterion in the model would be straightforward, and would be an interesting parameter range of crevasses observed on glaciers, including splaying crevasses. The implementation of to the direction of maximum tensile stress. This criterion is also be able to represent the broad ing under pure ,tension and is supported by

believe that this criterion is not suitable for this. work Cauchy stress axial compression. However, as we want to describe crevasse opening under tension only, we was designed to describe damage in ductile materials and allows for damage under uni-

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20 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (12) (13) (14) in the th σ . The damage then evolves ? and taking into account the equivalence ˜ S 10 , the flow regime is unchanged. When the damage = 1 E ), = 0 ˙ ε D in the case of alpine hanging glaciers, ice flow is altered by the /n ) ? n , the viscosity of the ice is reduced, and the velocity of the flow con- − 1 2 ˙ (1 ε ˙ ε and I ) /n ? ) E > D n ), − − 0 2 ˙ ε (1 I (1 n ) /n /n D > D 1 1 1 − −

− ) ) A A

(1

= Introducing the effective deviatoric stress tensor = ( = (

˜

S principle, as described in Sect. 2.2, Eq. (3) gives :

behaviour, and has already been used in previous studies, such as sequently increases. This formulation of the enhancement factor is consistent with the expected E that: By identification with Eq. (3), the enhancement factor can be linked E with the damage D, such For undamaged ice (meaning increases ( direction of the principal stress, and exerts positive feedback on the velocity field. S deviatoric stress given in Eq. (8), it becomes: When the expression of the effective deviatoric stress tensor given in Eq. (12) is replaced by the under the effect of the stress field, where the ice undergoes a critical tensile stress softening is taken into account by introducing effective stress in Glen’s law. accumulation of micro-defects in the ice: damage softens the ice and accelerates the creep. This As pointed out by 2.2.2 Viscosity modification in Sect.2.3, which considers crevasses opening in pure tension only. crevasses in glaciers. Moreover, it is consistent with the fracture mechanics approach explained ciated with longitudinal velocity gradients that exert first order control on the development of

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15 10 20 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (15) is the crevasse depth , corresponding to the reads: proposed an expression ) d z I ? . K − K ), H z ( , g i y ρ , , resulting from horizontal velocity x , fracture propagation is a function = ? xx p S σ ). Instead, at such short timescales, the ? ) . ). Here, a LEFM model is combined with the ) z 11 − ???? H ( creep closure ) at a mesoscale, and they role in creep enhancement. g i ? ρ − xx S = xx σ πd is the horizontal component of the Cauchy stress tensor, √ xx xx in an idealized case where the opening stress is constant in the vertical direction. For the

σ is a parameter that depends on the geometry of the problem. The crack is considered βσ I

β

= K

I ). The application of LEFM to the penetration of surface crevasses, originally introduced by , has since been used by several authors (

?

weight of the ice, hence, gradients, and the cryostatic pressure (

to propagate vertically. In the ideal case introduced by and of the difference between the opening deviatoric stress

where crevasse nucleation and propagation ( increasing damage at long timescales. It can be understood as a way to simulate subcritical Continuum damage mechanics can be used to deal with the degradation of ice viscosity with process cannot be represented by viscous rheology ( 2.3 Fracture Mechanics However, calving events areshort triggered timescales, by and speeds rapid can propagation reach of a significant preexisting fraction fractures of at the very speed of sound. Thus, this for opening mode I considered here, in the coordinateK system ( The key physical parameter of LEFM is the ? 2.3.1 LEFM theory following, only the opening mode (Mode I) is considered. ( propagation can be considered: Mode I opening, Mode II sliding and Mode III tearing. In the (LEFM) is a useful tool to account for these features and matches observed crevasse depths account fast and slow processes controlling glacier fracturing. In LEFM, three modes of crack medium should be considered as elastic. In these conditions, linear elastic fracture mechanics previously described damage model to achieve the formulation of a calving law taking into

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20 10 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | . In (16) 2 / 1 MPa.m 4 . ) is not constant 0 xx to σ 2 / 1 (and so MPa.m xx . The sensitivity of the model to 1 S . 2 applied to the crack is given by the 0 / 1 ) y,z ( xx MPa.m σ 2 . Toughness is a property of the material and . 0 Ic 12 K . Consequently, the appropriate formula to calculate the [Fig. 2 about here.] y at each vertical coordinate and integrated it over the initial ) dz depends on the geometry of the crevasse, and consequently on ) ) ). Inferred values ranged from y,z ( z,d,H ): ( ? ??? xx z,d,H β ( σ β ) ). In this way, the effect of an arbitrary stress profile on the stress intensity ? z,d,H ( to porosity ( ). A complete description of the weight function and an illustration of the geometry β or the lateral coordinate ? d z Ic H − = K Z

H z = z

= However, when considering real cases, the opening term The weight function In LEFM theory, a fracture is able to propagate downward in the ice if the stress intensity This formula relies on the use of the superposition principle: in the case of linear , the

I our calving model, wethis use value a is constant discussed value in Sect. of 3.3.4. is given in Fig. 2 and Appendix A. plane plate ( that have been proposed, we chose the one corresponding to an edge crack in an infinitely wide the problem considered. Among the weight functions for various crack and notched geometries,

factor is greater than the value of it by the weight function crevasse depth ( depends to a great extent on ice porosity. Several experiments have been carried out to link the of the along-flow component of the deviatoric stress tensor at the tip of the crack, we multiplied of all individual point loads along the crack length. In our case, instead of considering the value value of the stress intensity factor at the tip of the crack can be seen as the sum of contributions over depth stress intensity factor for an arbitraryweight stress functions profile method ( K factor can be taken into account.

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20 10 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | , α ? remains is also a . For ap- c I c is satisfied, D D K Ic K . The value of 1 ), mostly because ≥ ? I K . Several authors have < α < H 0 = d and Ic αK to 0.5. The sensitivity to this value is = α Ia K 13 , with Ia < K [Fig. 3 about here.] I K represents both a crack propagation and a crack arrest criterion. , we do not consider the presence of water-filled crevasses for the becomes negative before reaching I Ic ?? (see Fig. 3). One should bear in mind that the value of K K d = I K down to the bottom of the glacier. However, as a result of the cryostatic pressure , crevasses propagate downward as long as the inequation Ia ? K

In this simplified LEFM framework, calving would theoretically occur only if Compared to the work of

damage on the near surface of the glacier, where damage reaches a critical value ture toughness. In our model, the size of pre-existing flaws is dictated by a contour of critical combination of both sufficient tensile stress and sufficiently deep initial crevasse to exceed frac- From Eq. (16), it is easy to understand that the triggering of crevasse propagation requires a 2.3.2 Critical damage contour and fracture initiation dynamic effects have to be taken into account forfor the ice arrest is condition. unknown. Therefore, In following the following, we arbitrarily set we use a crevasse arrest criterion: non-zero, is always lower than the stress intensity factor at propagation ( Such an arrest criterion is probably misleading, as the stress intensity factor at arrest, though discussed in Sect. 3.3.4. vertically. In the initial crevasse depth Once the conditions for fracture initiation are fulfilled, we consider that the crevasse propagates plication to the LEFM theory, we consider that the depththreshold of that this needs damaged to layer be corresponds set. The to sensitivity of the model to this parameter is tested in Sect. 3. 2.3.3 Fracture Arrest thus assuming that lower bound for crevasse propagation. addressed in Sect. 3.4. Without these features, however, our model is sufficient to provide a initiation of crack propagation, nor the formation of basal crevasses. These questions are briefly and hydrostatic pressure, larger than

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10 25 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | f is d | I Ic K K , calving ≥ d Ia | I K K ≥ f . One specific im- d | ? I K used to calculate represents the height of 0 x showed that calving of the 0 w x ? d σ proposed a first-order approach ? , where w gd w ρ equal to sea level. If f d 14 . In other words, our model considers LEFM to describe f [Fig. 4 about here.] d ). In this case, the crevasse will propagate further downward. ? , nothing happens in the model whereas one would expect some Ia K ≥ f d | I K in the case where a crevasse fills with water on reaching sea level. The resulting , but this effect is not considered here. Second, if the condition 0 on an idealized geometry, and we chose to use the same criterion. Thereby, the I x 0 ? x K σ

dominates the force balance and one would expect the crevasse to propagate downward. We

This framework has two consequences. First, the stress profile The calving model described in the previous sections is summarized in Fig. 4. The CDM and LEFM models were implemented in the finite element ice sheet / ice flow

xx

applied by entire glacier depth, thus supporting Benn’s criterion. Thisstress parameterization was intensity successfully factor is computed at a depth stress intensity factor becomes positive (up to one kilometer upstream from the front) over the S calculated cryostatic pressure and/or the ocean water back pressure. Consequently, the opening full stress Added to the tensile opening stress, this supplementary hydrostatic pressure counterbalances the modifies the water in the crevasse, which is equal to the distance between sea level and the crack tip. occurs. for the arrest criterion is estimated before the propagation of the crevasse. This propagation connection exists to the open sea ( the sea level. This criterion is supported by two observations. First, subaqueous part. Secondly, a surface crevasse reaching sea level may be filled with water, if a proposed alternative criteria to overcomeconsidering this that inconsistency. calving of the aerial part of the glacieraerial occurs when part a occurs surface when crevasse reaches the crevasse reaches sea level, usually followed by theIndeed, calving the of water the adds a supplementary pressure fulfilled but not

event occurs. The mesh is rescaled, and the variables are interpolated onto the new geometry. brittle crevasse propagation down to calving but not to simulate crevasse propagation upstream of the calving front. provement of the model was incorporating an automatic remeshing procedure when a calving model Elmer/Ice. Further information regarding Elmer/Ice can be found in

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20 25 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ? . In, addition we imple- ? ). In the last decade, it has been intensively ? 15 ). It should be noted here that a constant negative temper- ? ), and is therefore an interesting case study to calibrate a calving (following ?????? C ◦

6 . 4

− , Helheim glacier’s front position remained within a range of 8km over the last ?

As we focused on changes in the front and on representing calving, we only needed a bedrock

body. However, this constant value was chosen in order to produce a velocity field consistent and thus prevent the glacier from establishing a hydraulic connection with the proglacial-water ature may be inconsistent with the calving criterion, as it will freeze any water in crevasses, temperature of dition, we chose to consider the glacier as isothermal near the ice front, where we set a constant this dataset, the initial front position corresponds to the May 2001 pre-collapse geometry. In ad- and to use their dataset in which the last 15 kilometers of the glacier are well represented. In could influence the behaviour of the front. For this reason, we chose to follow the work by topography covering the last 10 kilometers up to the front to capture any basal features that As stated by surveyed and studied ( model. 3.1 Data Sources which advanced again between 2005 and 2006 ( two-dimensional flowline problem. Helheim underwent a major retreat between 2001 and 2005, before creating a floating tongue model parameters against past glacier evolution. For our model development, we focus on a 80 years. During this period, the glacier underwent several advances and retreats. In particular, The model was appliedeast to Greenland. The Helheim abundance Glacier, of observations a there fast allowed flowing us to well-monitored compare glacier and in constrain our south- 3 A case study to occur between nodes, thus reducing the horizontal mesh dependency. The corresponding method is describedmented in a supplementary horizontal material interpolation in scheme for the damage and the stress field, allowing calving

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | . ? who fitted direct ? , the beginning of the ? m approaching the front 33 (see Fig. 5). This geometry 347 m to was taken from 150 s a m from top to bottom. Sensitivity tests were 0 . 16 68 m to 3 . [Fig. 5 about here.] 3 m at the front. Using the metric from km of the glacier, with an initial thickness varying between , and the front at kilometer 30 700 319 was inferred from the 2001 surface velocity data presented in C m at the top surface. Thus, our choice allowed for accurate fracture initiation 3 . 3

m at the inlet boundary, and The geometry covers the last The specific boundary conditions used for the 2D application areThe described basal below, friction using the

direction” is the vertical axis. Following our notation system, the ice flows along the horizontal “x-direction” and the “z- 3.2 Flow line and numerical specifications represent the annual surface mass balance. observations from stakes placed on the glacier between 2007 and 2008, which are assumed to 900 mesh was located at kilometer

perature into account. A constant surface mass balance with observations, and, for sake of simplicity, we did not take the vertical variations in tem- surface and at the front. The element size decreased from was discretized through a structured mesh of 10500 quadrilateral elements, refined on the upper boundary conditions presented in Sect. 2.1.2.

in the horizontal direction, and from size and frequency of the calving event. chosen value, no more significant difference appeared in the behaviour of the glacier, or in the time step of 0.125 day. Sensitivity to the length of the time step was also undertaken. Below the Lagrangian Eulerian (ALE) method to account for ice advection and mesh deformation, with a and damage advection, as well as relatively rapid serial computation. We used an Arbitrary

more than converge with increasing refinement, since only negligible differences appeared when refining carried out to optimize the mesh size in the vertical direction, and glacier behaviour appeared to

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20 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | , 1 − (17) m a = 4000 x u in a given range. In c . D ? , and B , as well as on the channel width , n th σ and A , as proposed by . However, this was not the case for the ? k 17 km) did not coincide with the ice divide. As we only at depth. This constant melting parameterization was 1 − = 319 x m day 1 . The lateral friction coefficient was applied over the whole length of ? on four west Greenland glaciers. ? /n 1 ) /n 1 A (2 + 1) n +1 n n

( W

, which was taken from When dealing with a 2D flowline representation of the ice flow, we had to take some three- Even if the velocity and the surface topography were known and correspond to the state of The inflow boundary condition ( For melting at the calving front, we chose an ablation function that increased linearly with

). Thus, for eight years, we let the geometry adjust to the prescribed boundary conditions and =

? in agreement with the observed surface velocity in k gravitational force using a lateral friction coefficient glacier can play a significant role by adding resistive stress to the flow. Here, we modified the dimensional effects into account. In particular, lateral friction along the rocky-margins of the

inlet flux, which can vary depending on changes in inlet boundary thickness. This coefficient depends on Glen’s flow law parameters The model was calibrated by varying the three parameters 3.3.1 Model calibration: sampling strategy upstream boundary, and we imposed a vertically-constant velocity profile of 3.3 Results and discussion considered the last kilometers before the front, we assumed that ice velocity is constant at the to the previously inverted basal friction coefficient. ( the glacier observed in May 2001, some relaxation was necessary to obtain a stable steady state which merges with the principal stream near the center of the flow segment. the glacier, and covered the entire lateral ice surface. It did not account for the tributary glacier, depth, from zero at sea levelinspired to by the work of W order to distinguish the effect of the different damage parameters, we used a Latin hypercube

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20 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ), that we B ). Following , th ??? MPa. The lower σ . The explanation 1 − 20] a . 1 0 − , 01 . MPa [0 is positive, the corresponding 0] χ . 2 , 5 . [0 18 MPa, the modeled stresses are not high enough to (0.4 ; 0.5 ; 0.6). 20 . 0 C was chosen within D > B th σ . has already been inferred in several studies ( c c D . If D ? was estimated to be in the range of th σ ). Observations of sand deposits showed that variations in the front did not exceed ?

. Ultimately, this parameter should be set such that the stress is displaced right to the edge

B The critical damage value The damage enhancement factor The stress threshold

cycles ( Over the last century, Helheim Glacier has probably undergone several advance and retreat 3.3.3 Model response and calving were activated. submarine frontal melting, or calving. After 8 years, the front was released, and frontal melting model was therefore spun-up for 8 years: the front was kept fixed at its initial position, without the damage field, we had to let the damage created upstream be advected to the front. The Damage can be produced anywhere in the glacier. As we needed to obtain a steady state for 3.3.2 Model calibration: spin-up relaxation occurs through non-linear viscous flow. of the damaging envelope. However, this value is difficult to evaluate, especially because stress of stress back to the edge of the envelope: the rate of this stress displacement is set by the value the “damaging” area (area shaded gray in Fig. 1). The role of “damaging” is then to “push” the line in Fig. 1. However, as our model deals with a finite time step, the stress level may jump in uously, such that the stress level cannot exceed the edge of the envelope defined by the green reach the damage threshold, and damage, when it occurs, isfor too this weak. wide range is theincrease following: in when damage the damage releases criterion the stress level in the ice. In reality, this process happens contin-

these studies, we used three values of bound was near that given in

sampling (LHS) method with a combination of 16 distinct parameters for ( reproduced for three values of

5 25

20 10

15 25 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | . The results ] km 350 km, [340 ). The three classes can again be c . This means that either damage in- ). These underlying simulations are D th th , σ σ , th σ B , B 19 [Fig. 6 about here.] [Fig. 7 about here.] and/or a high value of B , the recent retreat may have been caused by higher summer air and ocean temperatures.

?

km. Knowledge of the potential trigger mechanisms for these cycles is still poor: according to This threefold classification of glacier behaviour was generalized to the 48 simulations. To The steady advance of the front with no, or with only a few calving events (blue triangles)

and

as those that lead to a simulated front position within the range eliminate aberrant behaviour, we ran a sanity check by considering plausible sets of parameters

characterized by a low value of line). crementation was too low, or the stress threshold was too high to trigger damage. In these cases, irregular calving events, forcing the glacier to remain within an acceptable range of values (red class of behaviour is consistent with observations, where the front is punctuated by regular or class illustrates prolific calving, leading the front to retreat far upstream (yellow line).The last too far and builds up a floating tongue several kilometers in length (blue line, Fig. 6). The second of model behaviour corresponds to when calving does not often happen. The glacier advances sets. The model response was then split into the three classes illustrated in Fig. 6. The first class between different model behaviours, we ran the simulations for 10 years using the parameter can be explained first by considering the parameters ( parameters, and tried to distinguish between unrealistic and realistic behaviours. To distinguish Instead, we studied the dynamic behaviour of the model with respect to the different sets of we did not try to reproduce the exact chronology of the most recent retreat of Helheim glacier. Yet, the role of the calving activity under these changes remains unclear. For these reasons, the case where the front remains between 340 and 350 km. ? case where the front exceeds 350 km, the case where the front retreats less than 340 km, and 10 are presented in Fig.distinguished, 7, blue in triangles, the yellow parameter circles space and ( red diamonds, representing respectively the

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10 20 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | i.e. km, [340 can be more . In addition, c c D = D > D D ), and the boundaries between c D , B , th σ 20 ) through the production of damage upstream and must th σ , B yellow curve on Fig. 6). produces acceptable results. When related to the tensile strength is low, triggering damage is easy, and increments quickly, leading th e.g. is used to control on whether the fracture propagates. If it is low, th σ c σ D is too high, damage may never reach sufficient depth to initiate fracture c D is too high, damage may only increase in the area where the traction is very high, found values in the range of 100-400 kPa in the vicinity of crevasses, which is slightly (and are considered to be unrealistic), but still have a general dynamics that is not far is high and/or ? ] th B σ

km

Finally, parameter However, discretization into three classes of parameters should not mask the continuous be- The chosen range for On the contrary, the too rapid retreat of the front (yellow circles) can be explained as follows:

, who inferred the tensile strength of snow and firn at the surface to be in the range of 10- is fulfilled). If However, it is tightly linked with ( the conditions for crevasse propagation are easily reachedpropagation (as (See soon Fig. as 7). As the a criterion consequence, this on value LEFM controls the location of the calving front. probably help further constrain this parameter. havior of the glacier, depending on the value of ( higher than our range. However, deeper knowledge of the firn density at Helheim surface would ? 50 kPa. of snow and ice, it agrees with constraints from previous studies, especially those described in be chosen in the same range as the level of damage at the front.

from realistic behaviours ( diamonds in Fig. 7. During these simulations, the front remained between the two limits and The acceptable parameter combinations are located on the 3D diagonal represented by the red easily reached, leading to a too rapid sequence of calving events. classes are not abrupt. Thus, simulations350 may present a front position out of the range 3.3.4 Realistic behaviour to a major damage at the glacier surface. As a consequence, the criterion

when reaches a sufficient depth to trigger calving. damage production may bewhen not sufficient to reachon the top of calving bumps, criterion in the immediate vicinity of the surface. As a consequence, the damage never

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10 25 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | at the front and c D (red star in Fig. 7), can be seen as an example 50 . 21 = 0 c ). In these regions, the damage develops up to a depth 500/600 days and a 500 m amplitude. This asymmetric ? D [Fig. 8 about here.] ∼ , mostly over bumps. This is consistent with observations th , and σ 1 − MPa 30 . = 1 B MPa, must be large enough to account for critical crevasse propagation, and be consistent d 11

.

investigated crevasse depth in the vicinity of the front of a freshwater calving glacier in

= 0 The glacier front dynamics is also characterized by a larger amplitude / lower frequency os- Focusing on this parameter set, we highlighted the following main features of the glacier ?

th reaches conditions in which crevasse propagation can trigger calving events (probably because duces the stress level as well as the damage rate. In addition, the damage is advected until it reduces ice viscosity, accelerates ice flow, and adjusts glacier geometry. This softening also re- damage parameters and ice flow, we have a possible explanation for these features. Damage cillation (see Fig. 6), with a period of events (but not related to the outliers). Despite the complex interactions and feedback between cycle exhibits a slow advance but a faster retreat, mostly due to a rapid succession of calving interrupted the dynamics of the front from time to time. can be seen in the inset in Fig. 6). Additionally, some outliers (calving events larger than 500 m) about 3 to 15 days (and only one day for very rapid front retreat, see Sect. 3.3.5). These features of the front of limited extent (between 50 m and 150 m), associated with a period varying from size / high frequency event distribution. This activity is characterized by quasi-periodic retreats front dynamics. First, at short timescales, the calving activity can be described through a small value of with observations. damage reacheed depths of 5 m to 15 m before calving occured. As described previously, the Iceland, and showed that most crevasses were no deeper than 10 m. In our model experiment, of almost 15 m,trigger at calving a (see rate Fig. 8c high and enough Fig. to 8d). reach the critical damage value traction is high enough to exceed of consistent behaviour. As represented in Fig. 8a,b,of damage glaciers flowing increases over in slope the ruptures ( area where the σ behaved consistently with observed values. The simulation corresponding to the parameter set

5

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ). This ? 600 days) ∼ ) (not shown). In Fig. 9, the c D , th σ , B 22

[Fig. 9 about here.]

To investigate the strength of this feature, we ran this simulation (red curve in Fig. 6) 8 times, This observation, combined with the mechanism proposed above, could explain the cycles

remained qualitatively unchanged even when the damage parameters changed. Altogether, we simulations that successfully passed the sanity check, and showed that the model’s response The analysis described in the previous section for one parameter set was extended to the 12 3.3.5 Sensitivity analysis well be triggered by it. position of the front is not necessarily the consequence of an external forcing, although it may internal glacier dynamics. This leads us to conclude that a variation of several kilometers in the are not related to variability in external forcing (which remained constant), but are the result of develops in the ice. Thus, in the experiments presented in this paper, the slow cycles in Fig. 6 topography) control the calving dynamics by modifying the rate at which damage primarily Fourier transform visible in Fig. 9) exhibits a low frequency peak for a period (500 in the position of the front, and also suggests that the surface geometry (driven by the bedrock using only different local disorders. The Fourier spectrum of the position of the front (fast a position where the damageleads is to too the low calving to cycles trigger highlighted calving. in Repeating Fig. this 6. process several times retreat of the glacier front over a limited time scale (a few days / weeks), until the front reaches geometry readjusts may trigger a “cascade” of calving events leading to a major (cumulative) feature was apparent with different parameters sets ( (due to the unbalanced forces at the new ice cliff). The subsequent increase in damage where the visible in Fig. 8, which is likely related to the above mentioned “cascade” mechanism. This of stresses at thecalving front, event or results processes in referred an to immediate as increase second-order in processes the in tensile stress in the vicinity of the front approximately equal to the time that ice needs to be advectedsmooth between wide peak the visible two at main around 3-15 bumps days characterizes high frequency calving events.

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | varied did not th α th σ δσ ) may bias the estima- ? parameter. As ice toughness in- Ic K 23 . α [Fig. 10 about here.] ]. The results were robust under these changes, although the spatial 2 . 0 ; 005 . 0 , whatever the value of Ia obtained a mean size of 80 m, and a frequency of around 8 days. Our 50-150 m K ? ’s model was applied on Helheim Glacier, the result was a mean calving event size ?

In addition, we estimated the influence of the other parameters discussed above. The results However, it should be recalled that this plot cannot be interpreted as an iceberg’s size dis- Finally, model sensitivity to the initial heterogeneous distribution of micro-defects introduced When

showed that the model is only slightly sensitive to the of the existence of such a dataset for Helheim glacier. tion of the retreat of single events, particularly for the small population sizes. We are not aware position of the actual glacier, as discrete determination of the position ( interesting parameter to calibrate the model, it would require continuous tracking of the front icebergs and/or capsize. Although the distribution of the distance the front retreats could be an iceberg(s) which may differ considerably, as the calved portion of ice may fragment into many tribution. Indeed, one has to distinguish between the front retreat and the size of the resulting in Sect. 2.2.1 tested. The standard deviation of the distribution of stress threshold deviation, the greater the variation in the position of the front. and temporal variability of the front position was modified (not shown). The higher the standard conditions, of 450 m, with a frequency of aroundrange 14 and days. our On 3-15 days Store period Glacier, is with thus within the the same range zero-forcing of these two modelling studies. higher than distribution, similar to those visible in the inset in Fig. 6, which are illustrated in Fig. 10. the value of ice toughness did not alter the generalAt behaviour this of depth, the the system. stress intensity Varying factor is greater than the ice toughness (not shown), and thus, identified 6,534 distinct calving events. Characteristic calving event sizes emerged from the creased, it became more and more difficult to trigger fracturehave a propagation. significant However, impact. changing Indeed, the arrest criterion was computed at a depth equal to sea level. within the range [

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25 20 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | . ) ? y,z ( (18) xx σ ). ? m below the 20 instead of − ) 10 y,z ( 0 xx σ w w , reading: 24 w d z > d z < d if if ) z − w d ( g w ρ ) ) + y,z y,z ( ( xx xx σ σ ) = ) = y,z y,z

( (

0 0 xx xx The implementation of this feature in our modelling framework is straightforward. To do

σ σ

a supplementary hydrostatic force in the stress balance tending to favor crevasse opening. in crevasses is the most obvious. This has a major effect on their propagation, as it represents Among the improvements that could be made to the model, the presence of surface melt water 3.4.1 Water-filled crevasses is sufficient to better constrain theresulting physical parameters. plementation should be straightforward, as soon as the knowledge of their underlying properties Several improvements could be made to the degree of physics included in the model. Their im- glacier and trigger calving as soon as the lever of water reaches around 3.4 Outlook and further improvements showed that a water filled crevasse is able to propagate through the whole thickness of the

depending on the water level in the crevasse so, we just have to add a water pressure term in the expression of the Cauchy stress tensor,

surface. near or at flotation, such that the tensile stress is high enough to trigger a fracture ( as they require a full-thickness fracture. This basal propagation is only possible if the glacier is crevasses. These are cited as a possible explanation for the production of large tabular icebergs, Then, the stress intensity factor is computed following Eq. 16, using At the current stage of development, the model does not include the representation of basal 3.4.2 Basal crevasses of water input, which are both currently poorly constrained and difficult to measure. However, adding this feature requires knowledge of the water depth in the crevasse, or the rate

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20 15 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | (20) (21) (19) ). The could be . However, sl L = p H shielding effect , and reads: d , which cannot be obtained from l and the crevasse depth l 25 is a weight functionthat depends on , the stress intensity factor is modified as a function ) xx L ( S D ). But this implementation requires knowledge of the value ? , ) πdL ( proposed a parameterization that could improve our model. In the p ? xx , ) , S z ) d L − l ( + p l D H ( = = g is the tensile stress, and is the piezometric head, which represents “the height above the base to which water w L ρ p xx S H , which is difficult to estimate if the glacier is grounded. Considering

) = p included basal crevasses in a physically-based calving law, by adding the pressure of water

z shielding

| ( H ?

I w

K where this kind of parameterization would require estimation of of the distance between neighboring crevasses

σ the base of the glacier reliesreading: on integrating the effect from of the water pressure at glacier base, case of a constant tensile stress profile is currently underway to study this process. Technically, capturing the fracture propagation at at crevasse tips are reduced by the presence of neighbouring crevasses ( did not observe a sufficient tensile stress to generate damage at the base of the glacier, and work crevasse propagation. In this case, problems arise from the fact that the stress concentrations basal crevasses covers the full thickness of the glacier, calving occurs. In our experiments, we fracture propagation framework could not rely on a parameterization that only considers lone same stress conditions. filling the crevasses in the estimatation of the penetration length. Once the penetration of top and where in a borehole to the bedof will rise” ( Considering the case of highly crevassed glacier surfaces and closely-spaced crevasses, our consequence is that it would become harder for a crevasse to propagate downward under the 3.4.3 Crevasse shielding still proposes a lower bound for calving event size and front retreat. a reliable upper bound in the vicinity of the front.In its present state, however, our framework

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15 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | up c . The c D D , the effect of damage th σ is obtained in other way, the l , and the critical damage variable B 26 [Table 1 about here.]

The three decisive parameters are the damage initiation threshold It should be borne in mind that this sensitivity test is based on the response of one specific The major effect of this development would be a supplementary delay in the time and the

on viscosity, quantified by the enhancement factor

in the range observed over the last century. reaching the front by advection. Then, the maximum value of damage should be close to sponse of the model is realistic. Despite this limitation, this calving model based on realistic the simulated ice front led to cyclic calving events, and the position of the glacier front remained first two parameters must be in a range that allows sufficient damage to occur upstream before parameters should not be transferred to another configuration without being sure that the re- constrain the parameter space for the most important free parameters. Within these constraints, tions, we show that some sets of parameters definitely produce reasonable behaviour, but these by very short timescales. The model was applied to Helheim Glacier, which allowed us to glacier to a poorly known external forcing and with limited observations. Under these condi- ice, consistent with the critical crevasse propagation that triggers calving events, characterized to a certain depth in order to trigger calving. while considering ice as a viscous material. It also allows for the elastic behaviour of breaking of small fractures leading to the appearance of macroscopic crevasse fields over long timescales, to propose a process based calving model. This model is able to reproduce the slow development In this work, we combined continuum damage mechanics and linear elastic fracture mechanics 4 Conclusions icebergs. front, where the tensile stress is higher, and as such resulting in smaller size distribution of position of calving events, probably resulting in calving events occurring nearer to the calving our modelling framework atintroduction of present. such Once shielding effect an in Eq. estimation (16) of will be straightforward.

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20 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper |  2 / 3  d y − 1  3 M + 1  d y − 1  2 M 27 + 2 / 1  d y − 1  1 . Local aspects, involving undercutting or force imbalance at ice ? M 1 +  ) y − d 2 ( π , the weight function for the computation of the stress intensity factor depends on 2 ? p ) =

. They read:

H y,d The calving process described in this paper is immediately driven by the variation in longitu-

: (

β function is given by: As stated by the specific geometry of the initial crack. For an edge crack in a finite width plate, the weight Weight function for the stress intensity factor Appendix A

cliffs are described as second-order calvingundertaken processes. to Using increase this our model, knowledge of further these work second-order could phenomena. be the calving rate, as stated by dinal stretching associated with horizontal velocity gradients, producing a first-order control of models. physical approaches gives reliable results and could be easily implemented in classical ice-flow

d The weight function depends on 3 numerical parameters, polynomial functions of the ratio

5 10 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | ¨ urst for 7 7 ˆ one-Alpes region 7    d d H H d H 3     3 3 d   H d d  H H 106246   904370 95 . + 356469 − − 76 53 6 6 . . 6 10    10  d d H H  d + 1554 H 4058 5479 d H 2   d H  − −   2 2  d   H d d  H H 205384 28   49544 + 128746 − + 520551 − + 127291 5 5 1001 5 . 074 456 9 9   . .    61 d d H H d H d d − H H       6 7 + 532 + 176 . . d   H d d  H H 81388 181755   531940 − − + 71590 + 208233 − 4 8 4 4 8 8 3235 513476     . .   47583 1 . d d d d H H H H d d 22 This study was funded by the Agence Nationale pour la Recherche (ANR) through H H − 13 CIRA: http://www.ci-ra.org). We greatly thank Chris Borstad and Jeremy Bassis,     −   8 2 7 8 . . . . 529659 0719768 246984 + 6 368270 14583 . . .

+37303 +28592 − +35780 − +936863

= 0 = 0

1 2 3 = 0

M M Center for Science Ltd (Finland) for their support in Elmer/Ice development, and Johannes F for pointing out interesting remarks regarding calving state-of-the-art. We further thank the CSC-IT (GRANT CPER07 whose comments and advice greatly improved the quality of the manuscript. We also thank Doug Benn

CIMENT infrastructure (https://ciment.ujf-grenoble.fr), which is supported by the Rh helpful thorough reading. Acknowledgements. the SUMER, Blanc SIMI 6 - 2012. All the computations presented in this paper were performed using the M

5

10 15 15 Table 1. Physical and numerical parameters. Tunable parameters are underlined. Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | 3 3 / / 1 1 1 1 2 2 2 − a − s a / / / 3 3 a 2 1 1 1 a 1 2 1 3 3 − / − 1 − − / / 3 1 − 1 4 − m m m m m Pa Pa Pa Pa Pa Pa − − − − m s m s m MPa MPa m MPa m MPa Pa m Pa m 3 10 · 3 81 1 / 3 . to 200 0.5 0.2 MPa m 1 900 kgm 9 1000 kg m 0 to 1 3 0.5 to 3 MPa 0.4 to 0.6 10 · 20 30 c I I I Ic Ia ˙ w w th ˜ w ε ˜ g d η k u n σ σ β α S S A C E B D m H l ρ σ W ρ d D K σ K K Sea level Viscosity Parameter Symbol Value Unit Strain rate Ice density Velocity field Water density Ice Thickness Glen exponent Channel width Crevasse depth Stress threshold Weigth function Damage variable Fluidity parameter Cauchy stress tensor Bed friction exponent Bed friction parameter Deviatoric stress tensor Critical damage variable Arrest criterion (Mode I) Fracture arrest parameter Gravitational acceleration Maximum principal stress Lateral friction coefficient Glen’s enhancement factor Fracture toughness (Mode I) Damage enhancement factor Effective Cauchy stress tensor Stress intensity factor (Mode I) Water depth inside the crevasse Effective deviatoric stress tensor Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | I represent the first and the second II σ and I σ

Damage II 31 is the stress threshold. The shaded area corresponds to stress th σ

No damage

Damage envelope in the space of principal stresses.

Fig. 1. principal stress, respectively, while conditions in the calving model that will trigger damage. Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | l y=y x W y r z y=y 32 crack tip d

H Crevasse shape. See Tab. 1 for a list of the parameters. Fig. 2. Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | x . d d Water H b 33 Flow Direction , for which we computed the along-flow component of the Cauchy c D = D Ice multiplied by the weight function, and integrated over the crevasse depth H xx σ

a

y (a) Shape of a grounded glacier and (b) zoom on one crevasse. The red curve illustrates the

Fig. 3. contour of critical damage stress tensor Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | LEFM CDM t = t + dt t = t + dt Short timescales Long timescales Elastic behaviour Viscous behaviour no no 34 refers to the time step. The blue shape indicates the area t c yes yes yes t and D = D t = t + dt a vertical plane Damage Contour Calving occurs along Damage Computation

Algorithm of the calving model where

Fig. 4. application, where the ice is elastic, representing fracture propagation and calving events. of CDM application, where the ice is viscous, and the orange shape corresponds to the LEFM domain of Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | x(km) km (May 2001). The blue 347 d 334 347 b 35 a

c 319 c

y(m) 0 900 -740 Glacier location and geometry. (a) Location on the Greenland ice sheet (red dot). (b) Zoom on the

of the flow line. The starting position corresponds to the front position at Helheim glacier front and the flow line (red curve) studied here. (c) Mesh constructed for this segment Fig. 5. line indicates sea level. (d) Zoom on the upper surface of the glacier at the calving front. Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | , 1 ); − 4 . , and 1 − = 0 MPa c 84 D . MPa 30 = 0 . , and B 10 1 = 1 − B MPa, 9 MPa 15 . 75 MPa, . 8 = 0 11 = 1 . th B σ = 0 14 days 7 th σ MPa, 10 6 . 500/600 days ∼ = 0 5 th σ 36 Time (years) 4 days 4 3 344 344.5 2 1

330 340 335 360 355 350 345 Front position (km) position Front . Blue represents an advance with almost no calving ( c ) ; yellow represents a major retreat( 6 D . ). The inset shows a zoom on the consistent case. 50 = 0

. Positions of the calving front over the 10 year period. Each color corresponds to a set of parameters , and c

B D = 0 ,

c th red represents a behaviour that is consistent with( observations

and D Fig. 6. σ Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | . Blue triangles represent c 2 D , th σ , B 1.5 ) −1 B (MPa 1 37 0.5

0.05 0.1

0.15 (MPa) th

0.5 0.4 0.6 σ c D Parameters set for the damage model discriminated by

Fig. 7. stars correspond to the three parameter sets illustrated in Fig. 6. in which the front retreated less than 340 km. Red diamonds identify the successful simulations. Colored simulations in which the position of the front exceeded 350 km and yellow circles represent simulations Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | MPa, 11 . = 0 th σ is the damage criterion, χ d 38 ) corresponding to the red star in Fig. 7. 50 . = 0 c D , and 1 −

MPa b a c

State of Helheim glacier after 365 days of simulation for the set of parameter ( 30 .

= 1

B red rectangle; (c) Damage field and zoom on the red rectangle (d). which is positive where damage will occur. (a) Damaging areas of Helheim glacier and (b) zoom on the Fig. 8. Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | 3 10 2 500 days ∼ 10 39 Period (days) =0.50), computed over 10 years. Gray lines represent the c D , 1 1 − 10 3 / 15 days ∼ = 1.30 MPa B 0 10 −2 0 −1 3 2 1

10 10 10 10 10 10 Amplitude (m) Amplitude =0.11MPa,

th σ

Frequential response of variation in the calving front in the 8 simulations using the set of pa-

rameters ( Fig. 9.

mean. frequency spectrum for each of the eight simulations, and the black line shows the corresponding Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | 200 180 160 140 120 40 100 Calving event size (m) 80 60 40 0

800 600 400 200

1200 1000 Number of events of Number

Distribution of the size of the calving events corresponding to the 12 realistic simulations.

Fig. 10. the calving event size is truncated at 200 m. However a few events, up to 2,000 m were recorded. Different modes can be related to the different combinations of damage parameters. The axis representing