<?xml version="1.0" encoding="utf-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel rdf:about="http://www.the-cryosphere.net/xml/rss1_0.xml"><title>TC - Latest Articles</title><link>http://www.the-cryosphere.net/</link><description>The Cryosphere Latest Articles</description><items><rdf:Seq><rdf:li resource="http://www.the-cryosphere.net/6/143/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/141/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/125/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/113/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/101/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/85/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/71/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/51/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/35/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/21/2012/" /><rdf:li resource="http://www.the-cryosphere.net/6/1/2012/" /><rdf:li resource="http://www.the-cryosphere.net/5/1127/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1115/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1099/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1083/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1057/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1043/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1029/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/1011/2011/" /><rdf:li resource="http://www.the-cryosphere.net/5/989/2011/" /></rdf:Seq></items></channel><item rdf:about="http://www.the-cryosphere.net/6/143/2012/"><title>Influence of sea ice lead-width distribution on turbulent heat transfer between the ocean and the atmosphere</title><link>http://www.the-cryosphere.net/6/143/2012/</link><description>&lt;b&gt;Influence of sea ice lead-width distribution on turbulent heat transfer between the ocean and the atmosphere&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 143-156, 2012&lt;br /&gt;&lt;br /&gt;Author(s): S. Marcq and J. Weiss&lt;br /&gt;&lt;br /&gt;Leads are linear-like structures of open water within the sea ice cover that
develop as the result of fracturing due to divergence or shear. Through
leads, air and water come into contact and directly exchange latent and
sensible heat through convective processes driven by the large temperature
and moisture differences between them. In the central Arctic, leads only
cover 1 to 2% of the ocean during winter, but account for more than 70% of
the upward heat fluxes. Furthermore, narrow leads (several meters) are more
than twice as efficient at transmitting turbulent heat than larger ones
(several hundreds of meters). We show that lead widths are power law
distributed, &lt;I&gt;P(X)&lt;/I&gt;~&lt;I&gt;X&lt;sup&gt;&amp;minus;a&lt;/sup&gt;&lt;/I&gt; with &lt;I&gt;a&lt;/I&gt;&amp;gt;1, down to very small spatial scales
(20 m or below). This implies that the open water fraction is by
far dominated by very small leads. Using two classical formulations, which
provide first order turbulence closure for the fetch-dependence of heat
fluxes, we find that the mean heat fluxes (sensible and latent) over open
water are up to 55% larger when considering the lead-width distribution
obtained from a SPOT satellite image of the ice cover, compared to the
situation where the open water fraction constitutes one unique large lead and
the rest of the area is covered by ice, as it is usually considered in
climate models at the grid scale. This difference may be even larger if we
assume that the power law scaling of lead widths extends down to smaller
(~1 m) scales. Such estimations may be a first step towards a
subgrid scale parameterization of the spatial distribution of open water for
heat fluxes calculations in ocean/sea ice coupled models.</description><dc:date>2012-02-02T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/141/2012/"><title>Corrigendum to &quot;The impact of a seasonally ice free Arctic Ocean on the   temperature, precipitation and surface mass balance of Svalbard&quot;   published in The Cryosphere, 6, 35–50, 2012</title><link>http://www.the-cryosphere.net/6/141/2012/</link><description>&lt;b&gt;Corrigendum to &quot;The impact of a seasonally ice free Arctic Ocean on the   temperature, precipitation and surface mass balance of Svalbard&quot;   published in The Cryosphere, 6, 35–50, 2012&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 141-141, 2012&lt;br /&gt;&lt;br /&gt;Author(s): J. J. Day, J. L. Bamber, P. J. Valdes, and J. Kohler&lt;br /&gt;&lt;br /&gt;No abstract available.</description><dc:date>2012-01-27T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/125/2012/"><title>A statistical approach to modelling permafrost distribution in the European Alps or similar mountain ranges</title><link>http://www.the-cryosphere.net/6/125/2012/</link><description>&lt;b&gt;A statistical approach to modelling permafrost distribution in the European Alps or similar mountain ranges&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 125-140, 2012&lt;br /&gt;&lt;br /&gt;Author(s): L. Boeckli, A. Brenning, S. Gruber, and J. Noetzli&lt;br /&gt;&lt;br /&gt;Estimates of permafrost distribution in mountain regions
      are important for the assessment of climate change effects on natural and human systems.
      In order to make permafrost analyses and the establishment
      of guidelines for e.g. construction or hazard assessment comparable and
      compatible between regions, one consistent and traceable model for the entire Alpine
      domain is required. For the calibration of statistical models, the scarcity of suitable and
      reliable information about the presence or absence of permafrost makes the use of large areas
      attractive due to the larger data base available.

&lt;br&gt;&lt;br&gt;

      We present a strategy and method for modelling permafrost distribution of entire mountain regions
      and provide the results of statistical analyses and model calibration for the European Alps.
      Starting from an integrated model framework, two statistical sub-models are
      developed, one for debris-covered areas (debris model) and one for
      steep bedrock (rock model). They are calibrated using
      rock glacier inventories and rock surface temperatures.
      To support the later generalization to surface characteristics other than those available
      for calibration, so-called offset terms have been introduced into the model that
      allow doing this in a transparent and traceable manner.

&lt;br&gt;&lt;br&gt;

      For the debris model a generalized
      linear mixed-effect model (GLMM) is used to predict the probability
      of a rock glacier being intact as opposed to relict. It is
      based on the explanatory variables mean annual air temperature (MAAT),
      potential incoming solar radiation (PISR) and the mean annual sum of
      precipitation (PRECIP), and achieves an excellent discrimination (area
      under the receiver-operating characteristic,
      AUROC = 0.91). Surprisingly, the probability of a rock glacier being
      intact is positively associated with increasing PRECIP for given MAAT
      and PISR conditions. The rock model is based on a linear regression and was calibrated with mean annual
      rock surface temperatures (MARST). The explanatory variables are MAAT and PISR. The
      linear regression achieves a root mean square error (RMSE) of
      1.6 °C. The final model combines the two sub-models
      and accounts for the different scales used for model calibration.

&lt;br&gt;&lt;br&gt;

The modelling approach provides a theoretical basis for estimating mountain
permafrost distribution over larger mountain ranges and can be expanded to
more surface types and sub-models than considered, here. The analyses
performed with the Alpine data set further provide quantitative insight into
larger-area patterns as well as the model coefficients for a later spatial
application. The transfer into a map-based product, however, requires further
steps such as the definition of offset terms that usually contain a degree of
subjectivity.</description><dc:date>2012-01-26T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/113/2012/"><title>Basal crevasses in Larsen C Ice Shelf and implications for their global abundance</title><link>http://www.the-cryosphere.net/6/113/2012/</link><description>&lt;b&gt;Basal crevasses in Larsen C Ice Shelf and implications for their global abundance&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 113-123, 2012&lt;br /&gt;&lt;br /&gt;Author(s): A. Luckman, D. Jansen, B. Kulessa, E. C. King, P. Sammonds, and D. I. Benn&lt;br /&gt;&lt;br /&gt;Basal crevasses extend upwards from the base of ice bodies and can penetrate
more than halfway through the ice column under conditions found commonly on
ice shelves. As a result, they may locally modify the exchange of mass and
energy between ice shelf and ocean, and by altering the shelf's mechanical
properties could play a fundamental role in ice shelf stability. Although
early studies revealed that such features may be abundant on Antarctic ice
shelves, their geometrical properties and spatial distribution has gained
little attention. We investigate basal crevasses in Larsen C Ice Shelf using
field radar survey, remote sensing and numerical modelling. We demonstrate
that a group of features visible in MODIS imagery are the surface
expressions of basal crevasses in the form of surface troughs, and find that
basal crevasses can be generated as a result of stresses well downstream of
the grounding line. We show that linear elastic fracture mechanics modelling
is a good predictor of basal crevasse penetration height where stresses are
predominantly tensile, and that measured surface trough depth does not
always reflect this height, probably because of snow accumulation in the
trough, marine ice accretion in the crevasse, or stress bridging from the
surrounding ice. We conclude that all features visible in MODIS imagery of
ice shelves and previously labelled simply as &quot;crevasses&quot;, where they are
not full thickness rifts, must be basal crevasse troughs, highlighting a
fundamental structural property of many ice shelves that may have been
previously overlooked.</description><dc:date>2012-01-24T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/101/2012/"><title>A three-dimensional full Stokes model of the grounding line dynamics: effect of a pinning point beneath the ice shelf</title><link>http://www.the-cryosphere.net/6/101/2012/</link><description>&lt;b&gt;A three-dimensional full Stokes model of the grounding line dynamics: effect of a pinning point beneath the ice shelf&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 101-112, 2012&lt;br /&gt;&lt;br /&gt;Author(s): L. Favier, O. Gagliardini, G. Durand, and T. Zwinger&lt;br /&gt;&lt;br /&gt;The West Antarctic ice sheet is confined by a large area of ice shelves, fed
by inland ice through fast flowing ice streams. The dynamics of the grounding
line, which is the line-boundary between grounded ice and the downstream ice
shelf, has a major influence on the dynamics of the whole ice sheet. However,
most ice sheet models use simplifications of the flow equations, as they do
not include all the stress components, and are known to fail in their
representation of the grounding line dynamics. Here, we present a 3-D full
Stokes model of a marine ice sheet, in which the flow problem is coupled with
the evolution of the upper and lower free surfaces, and the position of the
grounding line is determined by solving a contact problem between the
shelf/sheet lower surface and the bedrock. Simulations are performed using
the open-source finite-element code Elmer/Ice within a parallel environment.
The model's ability to cope with a curved grounding line and the effect of a
pinning point beneath the ice shelf are investigated through prognostic
simulations. Starting from a steady state, the sea level is slightly
decreased to create a contact point between a seamount and the ice shelf. The
model predicts a dramatic decrease of the shelf velocities, leading to an
advance of the grounding line until both grounded zones merge together,
during which an ice rumple forms above the contact area at the pinning point.
Finally, we show that once the contact is created, increasing the sea level
to its initial value does not release the pinning point and has no effect on
the ice dynamics, indicating a stabilising effect of pinning points.</description><dc:date>2012-01-20T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/85/2012/"><title>Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal</title><link>http://www.the-cryosphere.net/6/85/2012/</link><description>&lt;b&gt;Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 85-100, 2012&lt;br /&gt;&lt;br /&gt;Author(s): K. A. Casey, A. Kääb, and D. I. Benn&lt;br /&gt;&lt;br /&gt;Surface glacier debris samples and field spectra were collected from the
ablation zones of Nepal Himalaya Ngozumpa and Khumbu glaciers in November
and December 2009. Geochemical and mineral compositions of supraglacial debris were
determined by X-ray diffraction and X-ray fluorescence spectroscopy.
This composition data was used as ground truth in evaluating field spectra and satellite
supraglacial debris composition and mapping methods. Satellite remote sensing methods
for characterizing glacial surface debris include visible to thermal infrared hyper-
and multispectral reflectance and emission signature identification, semi-quantitative mineral abundance indicies and
spectral image composites. Satellite derived supraglacial debris mineral maps displayed
the predominance of layered silicates, hydroxyl-bearing and calcite
minerals on Khumbu Himalayan glaciers. Supraglacial mineral maps compared
with satellite thermal data revealed  correlations
between glacier surface composition and glacier surface temperature. Glacier velocity displacement
fields and shortwave, thermal infrared false color composites indicated the magnitude of
mass flux at glacier confluences.   The
supraglacial debris mapping methods presented in this study can be used on a
broader scale to improve, supplement and potentially reduce errors associated
with glacier debris radiative property, composition, areal extent and mass
flux quantifications.</description><dc:date>2012-01-19T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/71/2012/"><title>A minimal model for reconstructing interannual mass balance variability of glaciers in the European Alps</title><link>http://www.the-cryosphere.net/6/71/2012/</link><description>&lt;b&gt;A minimal model for reconstructing interannual mass balance variability of glaciers in the European Alps&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 71-84, 2012&lt;br /&gt;&lt;br /&gt;Author(s): B. Marzeion, M. Hofer, A. H. Jarosch, G. Kaser, and T. Mölg&lt;br /&gt;&lt;br /&gt;We present a minimal model of the glacier surface mass balance. The model
relies solely on monthly precipitation and air temperatures as forcing. We
first train the model individually for 15 glaciers with existing mass balance
measurements. Based on a cross validation, we present a thorough assessment
of the model's performance outside of the training period. The cross
validation indicates that our model is robust, and our model's performance
compares favorably to that from a less parsimonious model based on seasonal
sensitivity characteristics. Then, the model is extended for application on
glaciers without existing mass balance measurements. We cross validated the
model again by withholding the mass balance information from each of the
15 glaciers above during the model training, in order to measure its
performance on glaciers not included in the model training. This cross
validation indicates that the model retains considerable skill even when
applied on glaciers without mass balance measurements.
&lt;br&gt;&lt;br&gt;
As an exemplary application, the model is then used to reconstruct time series of
interannual mass balance variability, covering the past two hundred years, for all glaciers
in the European Alps contained in the extended format of the world glacier inventory. Based on
this reconstruction, we present a spatially detailed attribution of the glaciers' mass
balance variability to temperature and precipitation variability.</description><dc:date>2012-01-17T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/51/2012/"><title>Comparison of MODIS-derived land surface temperatures with ground surface and air temperature measurements in continuous permafrost terrain</title><link>http://www.the-cryosphere.net/6/51/2012/</link><description>&lt;b&gt;Comparison of MODIS-derived land surface temperatures with ground surface and air temperature measurements in continuous permafrost terrain&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 51-69, 2012&lt;br /&gt;&lt;br /&gt;Author(s): S. Hachem, C. R. Duguay, and M. Allard&lt;br /&gt;&lt;br /&gt;Obtaining high resolution records of surface temperature from satellite
sensors is important in the Arctic because meteorological stations are
scarce and widely scattered in those vast and remote regions. Surface
temperature is the primary climatic factor that governs the existence,
spatial distribution and thermal regime of permafrost which is a major
component of the terrestrial cryosphere. Land Surface (skin) Temperatures
(LST) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS)
sensor aboard the Terra and Aqua satellite platforms provide spatial
estimates of near-surface temperature values. In this study, LST values from
MODIS are compared to ground-based near-surface air (&lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt;) and ground
surface temperature (GST) measurements obtained from 2000 to 2008 at
herbaceous and shrub tundra sites located in the continuous permafrost zone
of Northern Québec, Nunavik, Canada, and of the North Slope of Alaska,
USA. LSTs (temperatures at the surface materials-atmosphere interface) are
found to be better correlated with &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt; (1–3 m above the ground) than
with available GST (3–5 cm below the ground surface). As &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt; is most
often used by the permafrost community, this study focused on this
parameter. LSTs are in stronger agreement with &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt; during the snow
cover season than in the snow free season. Combining Aqua and Terra LST-Day
and LST-Nigh acquisitions into a mean daily value provides a large number of
LST observations and a better overall agreement with &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt;. Comparison
between mean daily LSTs and mean daily &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt;, for all sites and all
seasons pooled together yields a very high correlation (&lt;i&gt;R&lt;/i&gt; = 0.97; mean
difference (MD) = 1.8 °C; and standard deviation of MD (SD) = 4.0 °C).
The large SD can be explained by the influence of surface heterogeneity
within the MODIS 1 km&lt;sup&gt;2&lt;/sup&gt; grid cells, the presence of undetected clouds
and the inherent difference between LST and &lt;i&gt;T&lt;/i&gt;&lt;sub&gt;air&lt;/sub&gt;. Retrieved over
several years, MODIS LSTs offer a great potential for monitoring surface
temperature changes in high-latitude tundra regions and are a promising
source of input data for integration into spatially-distributed permafrost
models.</description><dc:date>2012-01-13T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/35/2012/"><title>The impact of a seasonally ice free Arctic Ocean on the   temperature, precipitation and surface mass balance of Svalbard</title><link>http://www.the-cryosphere.net/6/35/2012/</link><description>&lt;b&gt;The impact of a seasonally ice free Arctic Ocean on the   temperature, precipitation and surface mass balance of Svalbard&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 35-50, 2012&lt;br /&gt;&lt;br /&gt;Author(s): J. J. Day, J. L. Bamber, P. J. Valdes, and J. Kohler&lt;br /&gt;&lt;br /&gt;The observed decline in summer sea ice extent since the 1970s is predicted to
continue until the Arctic Ocean is seasonally ice free during the 21st Century.
This will lead to a much
perturbed Arctic climate with large changes in ocean surface energy flux. Svalbard,
located on the present day sea ice edge, contains many low lying ice caps and
glaciers and is expected to experience rapid warming over the 21st
Century. The total sea level rise if all the land ice on Svalbard were
to melt completely is 0.02 m.
&lt;br&gt;&lt;/br&gt;
The purpose of this study is to quantify the impact of climate change
on Svalbard's surface mass balance (SMB) and to
determine, in particular, what proportion of the projected changes in precipitation
and SMB are a result of changes to the Arctic sea ice cover. To
investigate this a regional climate model was forced with monthly mean
climatologies of sea surface temperature (SST) and sea ice
concentration for the periods 1961–1990 and 2061–2090 under two emission
scenarios. In a novel forcing experiment, 20th Century SSTs
and 21st Century sea ice were used to force one simulation to
investigate the role of sea ice forcing. This experiment
results in a 3.5 m water equivalent increase in Svalbard's SMB compared
to the present day. This is because over 50 % of the projected
increase in winter precipitation over Svalbard under the A1B emissions scenario is due to an
increase in lower atmosphere moisture content associated with
evaporation from the ice free ocean. These results indicate that
increases in precipitation due to sea ice decline may act to moderate mass loss from Svalbard's
glaciers due to future Arctic warming.</description><dc:date>2012-01-10T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/21/2012/"><title>Reformulating the full-Stokes ice sheet model for a more efficient computational solution</title><link>http://www.the-cryosphere.net/6/21/2012/</link><description>&lt;b&gt;Reformulating the full-Stokes ice sheet model for a more efficient computational solution&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 21-34, 2012&lt;br /&gt;&lt;br /&gt;Author(s): J. K. Dukowicz&lt;br /&gt;&lt;br /&gt;The first-order or Blatter-Pattyn ice sheet model, in spite of its
approximate nature, is an attractive alternative to the full Stokes model in
many applications because of its reduced computational demands. In contrast,
the unapproximated Stokes ice sheet model is more difficult to solve and
computationally more expensive. This is primarily due to the fact that the
Stokes model is indefinite and involves all three velocity components, as
well as the pressure, while the Blatter-Pattyn discrete model is
positive-definite and involves just the horizontal velocity components. The
Stokes model is indefinite because it arises from a constrained minimization
principle where the pressure acts as a Lagrange multiplier to enforce
incompressibility. To alleviate these problems we reformulate the full
Stokes problem into an unconstrained, positive-definite minimization
problem, similar to the Blatter-Pattyn model but without any of the
approximations. This is accomplished by introducing a divergence-free
velocity field that satisfies appropriate boundary conditions as a trial
function in the variational formulation, thus dispensing with the need for a
pressure. Such a velocity field is obtained by vertically integrating the
continuity equation to give the vertical velocity as a function of the
horizontal velocity components, as is in fact done in the Blatter-Pattyn
model. This leads to a reduced system for just the horizontal velocity
components, again just as in the Blatter-Pattyn model, but now without
approximation. In the process we obtain a new, reformulated Stokes action
principle as well as a novel set of Euler-Lagrange partial differential
equations and boundary conditions. The model is also generalized from the
common case of an ice sheet in contact with and sliding along the bed to
other situations, such as to a floating ice shelf. These results are
illustrated and validated using a simple but nontrivial Stokes flow problem
involving a sliding ice sheet.</description><dc:date>2012-01-06T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/6/1/2012/"><title>Hydrologic controls on coastal suspended sediment plumes around the Greenland Ice Sheet</title><link>http://www.the-cryosphere.net/6/1/2012/</link><description>&lt;b&gt;Hydrologic controls on coastal suspended sediment plumes around the Greenland Ice Sheet&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 6, 1-19, 2012&lt;br /&gt;&lt;br /&gt;Author(s): V. W. Chu, L. C. Smith, A. K. Rennermalm, R. R. Forster, and J. E. Box&lt;br /&gt;&lt;br /&gt;Rising sea levels and increased surface melting of the Greenland ice sheet
have heightened the need for direct observations of meltwater release from
the ice edge to ocean. Buoyant sediment plumes that develop in fjords
downstream of outlet glaciers are controlled by numerous factors, including
meltwater runoff. Here, Moderate Resolution Imaging Spectroradiometer
(MODIS) satellite imagery is used to average surface suspended sediment
concentration (SSC) in fjords around &amp;sim;80% of Greenland from
2000–2009. Spatial and temporal patterns in SSC are compared with
positive-degree-days (PDD), a proxy for surface melting, from the Polar MM5
regional climate model. Over this decade significant geographic covariance
occurred between ice sheet PDD and fjord SSC, with outlet type (land- vs.
marine-terminating glaciers) also important. In general, high SSC is
associated with high PDD and/or a high proportion of land-terminating
glaciers. Unlike previous site-specific studies of the Watson River plume at
Kangerlussuaq, temporal covariance is low, suggesting that plume dimensions
best capture interannual runoff dynamics whereas SSC allows assessment of
meltwater signals across much broader fjord environments around the ice
sheet. Remote sensing of both plume characteristics thus offers a viable
approach for observing spatial and temporal patterns of meltwater release
from the Greenland ice sheet to the global ocean.</description><dc:date>2012-01-04T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1127/2011/"><title>Utility of late summer transient snowline migration rate on Taku Glacier, Alaska</title><link>http://www.the-cryosphere.net/5/1127/2011/</link><description>&lt;b&gt;Utility of late summer transient snowline migration rate on Taku Glacier, Alaska&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1127-1133, 2011&lt;br /&gt;&lt;br /&gt;Author(s): M. Pelto&lt;br /&gt;&lt;br /&gt;On Taku Glacier, Alaska a combination of field observations of snow water
equivalent (SWE) from snowpits and probing in the vicinity of the transient
snowline (TSL) are used to quantify the mass balance gradient. The balance
gradient derived from the TSL and SWE measured in snowpits at 1000 m from
1998–2010 ranges from 2.6–3.8 mm m&lt;sup&gt;−1&lt;/sup&gt;. Probing transects from 950 m–1100 m directly measure SWE and yield a slightly higher balance gradient of
3.3–3.8 mm m&lt;sup&gt;−1&lt;/sup&gt;. The TSL on Taku Glacier is identified in MODIS and
Landsat 4 and 7 Thematic Mapper images for 31 dates during the 2004–2010
period to assess the consistency of its rate of rise and reliability in
assessing ablation for mass balance assessment. For example, in 2010, the
TSL was 750 m on 28 July, 800 m on 5 August, 875 m on 14 August, 925 m on
30 August, and 975 m on 20 September. The mean observed probing balance
gradient was 3.3 mm m&lt;sup&gt;−1&lt;/sup&gt;, combined with the TSL rise of 3.7 m day&lt;sup&gt;−1&lt;/sup&gt; yields
an ablation rate of 12.2 mm day&lt;sup&gt;−1&lt;/sup&gt; from mid-July to mid-Sept, 2010. The TSL
rise in the region from 750–1100 m on Taku Glacier during eleven periods
each covering more than 14 days during the ablation season indicates a mean
TSL rise of 3.7 m day&lt;sup&gt;−1&lt;/sup&gt;, the rate of rise is relatively consistent ranging
from 3.1 to 4.4 m day&lt;sup&gt;−1&lt;/sup&gt;. This rate is useful for ascertaining the final ELA if
images or observations are not available near the end of the ablation
season. The mean ablation from 750–1100 m during the July–September period
determined from the TSL rise and the observed balance gradient is 11–13 mm day&lt;sup&gt;−1&lt;/sup&gt; on Taku Glacier during the 2004–2010 period. The potential for
providing an estimate of b&lt;sub&gt;n&lt;/sub&gt; from TSL observations late in the melt
season from satellite images combined with the frequent availability of such
images provides a means for efficient mass balance assessment in many years
and on many glaciers.</description><dc:date>2011-12-15T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1115/2011/"><title>Forcing the snow-cover model SNOWPACK with forecasted weather data</title><link>http://www.the-cryosphere.net/5/1115/2011/</link><description>&lt;b&gt;Forcing the snow-cover model SNOWPACK with forecasted weather data&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1115-1125, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Bellaire, J. B. Jamieson, and C. Fierz&lt;br /&gt;&lt;br /&gt;Avalanche danger is often estimated based on snow cover stratigraphy and
snow stability data. In Canada, single forecasting regions are very large
(&gt;50 000 km&lt;sup&gt;2&lt;/sup&gt;) and snow cover data are often not available. To
provide additional information on the snow cover and its seasonal evolution
the Swiss snow cover model SNOWPACK was therefore coupled with a regional
weather forecasting model GEM15. The output of GEM15 was compared to
meteorological as well as snow cover data from Mt. Fidelity, British
Columbia, Canada, for five winters between 2005 and 2010. Precipitation
amounts are most difficult to predict for weather forecasting models.
Therefore, we first assess the capability of the model chain to forecast new
snow amounts and consequently snow depth. Forecasted precipitation amounts
were generally over-estimated. The forecasted data were therefore filtered
and used as input for the snow cover model. Comparison between the model
output and manual observations showed that after pre-processing the input
data the snow depth and new snow events were well modelled. In a case study
two key factors of snow cover instability, i.e. surface hoar formation and
crust formation were investigated at a single point. Over half of the
relevant critical layers were reproduced. Overall, the model chain shows
promising potential as a future forecasting tool for avalanche warning
services in Canadian data sparse areas and could thus well be applied to
similarly large regions elsewhere. However, a more detailed analysis of the
simulated snow cover structure is still required.</description><dc:date>2011-12-14T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1099/2011/"><title>Glacier contribution to streamflow in two headwaters of the Huasco River, Dry Andes of Chile</title><link>http://www.the-cryosphere.net/5/1099/2011/</link><description>&lt;b&gt;Glacier contribution to streamflow in two headwaters of the Huasco River, Dry Andes of Chile&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1099-1113, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Gascoin, C. Kinnard, R. Ponce, S. Lhermitte, S. MacDonell, and A. Rabatel&lt;br /&gt;&lt;br /&gt;Quantitative assessment of glacier contribution to present-day streamflow is a prerequisite
to the anticipation of climate change impact on water resources in the Dry Andes. In
this paper we focus on two glaciated headwater catchments of the Huasco Basin (Chile,
29° S). The combination of glacier monitoring data for five glaciers (Toro 1, Toro 2,
Esperanza, Guanaco, Estrecho and Ortigas) with five automatic streamflow records at sites
with glacier coverage of 0.4 to 11 % allows the estimation of the mean annual glacier
contribution to discharge between 2003/2004 and 2007/2008 hydrological years. In addition, direct manual measurements
of glacier runoff were conducted in summer at the snouts of four glaciers, which provide
the instantaneous contribution of glacier meltwater to stream runoff during summer. The
results show that the mean annual glacier contribution to streamflow ranges between 3.3
and 23 %, which is greater than the glaciated fraction of the catchments. We argue that
glacier contribution is partly enhanced by the effect of snowdrift from the non-glacier
area to the glacier surface. Glacier mass loss is evident over the study period, with a
mean of −0.84 m w.e. yr&lt;sup&gt;−1&lt;/sup&gt; for the period 2003/2004–2007/2008, and also contributes to increase
glacier runoff. An El Niño episode in 2002 resulted in high snow accumulation,
modifying the hydrological regime and probably reducing the glacier contribution in favor
of seasonal snowmelt during the subsequent 2002/2003 hydrological year. At the hourly timescale,
summertime glacier contributions are highly variable in space and time, revealing large
differences in effective melting rates between glaciers and glacierets (from 1 mm w.e. h&lt;sup&gt;−1&lt;/sup&gt; to 6 mm w.e. h&lt;sup&gt;−1&lt;/sup&gt;).</description><dc:date>2011-12-02T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1083/2011/"><title>Micrometeorological processes driving snow ablation in an Alpine catchment</title><link>http://www.the-cryosphere.net/5/1083/2011/</link><description>&lt;b&gt;Micrometeorological processes driving snow ablation in an Alpine catchment&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1083-1098, 2011&lt;br /&gt;&lt;br /&gt;Author(s): R. Mott, L. Egli, T. Grünewald, N. Dawes, C. Manes, M. Bavay, and M. Lehning&lt;br /&gt;&lt;br /&gt;Mountain snow covers typically become patchy over the course of a melting
season. The snow pattern during melt is mainly governed by the end of winter
snow depth distribution and the local energy balance. The objective of this
study is to investigate micro-meteorological processes driving snow ablation
in an Alpine catchment. For this purpose we combine a meteorological
boundary-layer model (Advanced Regional Prediction System) with a fully
distributed energy balance model (Alpine3D). Turbulent fluxes above melting
snow are further investigated by using data from eddy-correlation systems. We
compare modeled snow ablation to measured ablation rates as obtained from a
series of Terrestrial Laser Scanning campaigns covering a complete ablation
season. The measured ablation rates indicate that the advection of sensible
heat causes locally increased ablation rates at the upwind edges of the snow
patches. The effect, however, appears to be active over rather short
distances of about 4–6 m. Measurements suggest that mean wind velocities of
about 5 m s&lt;sup&gt;−1&lt;/sup&gt; are required for advective heat transport to increase
snow ablation over a long fetch distance of about 20 m. Neglecting this
effect, the model is able to capture the mean ablation rates for early
ablation periods but strongly overestimates snow ablation once the fraction
of snow coverage is below a critical value of approximately 0.6. While
radiation dominates snow ablation early in the season, the turbulent flux
contribution becomes important late in the season. Simulation results
indicate that the air temperatures appear to overestimate the local air
temperature above snow patches once the snow coverage is low. Measured turbulent
fluxes support these findings by suggesting a stable internal boundary layer
close to the snow surface causing a strong decrease of the sensible heat flux
towards the snow cover. Thus, the existence of a stable internal boundary
layer above a patchy snow cover exerts a dominant control on the timing and
magnitude of snow ablation for patchy snow covers.</description><dc:date>2011-11-30T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1057/2011/"><title>Spatial and temporal variability of snow accumulation rate on the East  Antarctic ice divide between Dome Fuji and EPICA DML</title><link>http://www.the-cryosphere.net/5/1057/2011/</link><description>&lt;b&gt;Spatial and temporal variability of snow accumulation rate on the East  Antarctic ice divide between Dome Fuji and EPICA DML&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1057-1081, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Fujita, P. Holmlund, I. Andersson, I. Brown, H. Enomoto, Y. Fujii, K. Fujita, K. Fukui, T. Furukawa, M. Hansson, K. Hara, Y. Hoshina, M. Igarashi, Y. Iizuka, S. Imura, S. Ingvander, T. Karlin, H. Motoyama, F. Nakazawa, H. Oerter, L. E. Sjöberg, S. Sugiyama, S. Surdyk, J. Ström, R. Uemura, and F. Wilhelms&lt;br /&gt;&lt;br /&gt;To better understand the spatio-temporal variability of the glaciological
environment in Dronning Maud Land (DML), East Antarctica,  a 2800-km-long
Japanese-Swedish traverse was carried out. The route includes ice divides between two
ice-coring sites at Dome Fuji and EPICA DML. We determined the surface mass balance (SMB)
averaged over various time
scales in the late Holocene based on studies of snow pits and firn cores, in addition to
radar data. We find that the large-scale distribution of the SMB depends on the surface
elevation and continentality, and that the SMB differs between the windward and leeward
sides of ice divides for strong-wind events.  We suggest that the SMB is highly
influenced by interactions between the large-scale surface topography of ice divides and
the wind field of strong-wind events that are often associated with high-precipitation
events. Local variations in the SMB are governed by the local surface topography, which
is influenced by the bedrock topography. In the eastern part of DML, the accumulation
rate in the second half of the 20th century is found to be higher by ~15 % than
averages over longer periods of 722 a or 7.9 ka before AD 2008. A similar increasing
trend has been reported for many inland plateau sites in Antarctica with the exception
of several sites on the leeward side of the ice divides.</description><dc:date>2011-11-28T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1043/2011/"><title>Permafrost degradation risk zone assessment using simulation models</title><link>http://www.the-cryosphere.net/5/1043/2011/</link><description>&lt;b&gt;Permafrost degradation risk zone assessment using simulation models&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1043-1056, 2011&lt;br /&gt;&lt;br /&gt;Author(s): R. P. Daanen, T. Ingeman-Nielsen, S. S. Marchenko, V. E. Romanovsky, N. Foged, M. Stendel, J. H. Christensen, and K. Hornbech Svendsen&lt;br /&gt;&lt;br /&gt;In this proof-of-concept study we focus on linking large scale climate and
permafrost simulations to small scale engineering projects by bridging the
gap between climate and permafrost sciences on the one hand and on the other
technical recommendation for adaptation of planned infrastructures to
climate change in a region generally underlain by permafrost. We present the
current and future state of permafrost in Greenland as modelled numerically
with the GIPL model driven by HIRHAM climate projections up to 2080. We
develop a concept called Permafrost Thaw Potential (PTP), defined as the
potential active layer increase due to climate warming and surface
alterations. PTP is then used in a simple risk assessment procedure useful
for engineering applications. The modelling shows that climate warming will
result in continuing wide-spread permafrost warming and degradation in
Greenland, in agreement with present observations. We provide examples of
application of the risk zone assessment approach for the two towns of
Sisimiut and Ilulissat, both classified with high PTP.</description><dc:date>2011-11-24T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1029/2011/"><title>Glacier changes in the Pascua-Lama region, Chilean Andes (29° S):  recent mass balance and 50 yr surface area variations</title><link>http://www.the-cryosphere.net/5/1029/2011/</link><description>&lt;b&gt;Glacier changes in the Pascua-Lama region, Chilean Andes (29° S):  recent mass balance and 50 yr surface area variations&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1029-1041, 2011&lt;br /&gt;&lt;br /&gt;Author(s): A. Rabatel, H. Castebrunet, V. Favier, L. Nicholson, and C. Kinnard&lt;br /&gt;&lt;br /&gt;Since 2003, a monitoring program has been conducted on several glaciers and
glacierets in the Pascua-Lama region of the Chilean Andes (29° S/70° W; 5000 m a.s.l.), permitting the
study of glaciological processes on ice bodies in a subtropical, arid, high-elevation area where no
measurements were previously available. In this paper we present: (1) six years of glaciological surface
mass balance measurements from four ice bodies in the area, including a discussion of the nature of the
studied glaciers and glacierets and characterization of the importance of winter mass balance to annual
mass balance variability; and (2) changes in surface area of twenty ice bodies in the region since 1955,
reconstructed from aerial photographs and satellite images, which shows that the total glaciated surface
area reduced by ~29% between 1955 and 2007, and that the rate of surface area shrinkage increased in
the late 20th century. Based on these datasets we present a first interpretation of glacier changes in
relation with climatic parameters at both local and regional scales.</description><dc:date>2011-11-22T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/1011/2011/"><title>A preliminary assessment of glacier melt-model parameter sensitivity and transferability in a dry subarctic environment</title><link>http://www.the-cryosphere.net/5/1011/2011/</link><description>&lt;b&gt;A preliminary assessment of glacier melt-model parameter sensitivity and transferability in a dry subarctic environment&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 1011-1028, 2011&lt;br /&gt;&lt;br /&gt;Author(s): A. H. MacDougall, B. A. Wheler, and G. E. Flowers&lt;br /&gt;&lt;br /&gt;Efforts to project the long-term melt of mountain glaciers and ice-caps
require that melt models developed and calibrated for well studied locations
be transferable over large regions. Here we assess the sensitivity and
transferability of parameters within several commonly used melt models for
two proximal sites in a dry subarctic environment of northwestern Canada. The
models range in complexity from a classical degree-day model to a simplified
energy-balance model. Parameter sensitivity is first evaluated by tuning the
melt models to the output of an energy balance model forced with idealized
inputs. This exercise allows us to explore parameter sensitivity both to
glacier geometric attributes and surface characteristics, as well as to
meteorological conditions. We then investigate the effect of model tuning
with different statistics, including a weighted coefficient of determination
(&lt;i&gt;wR&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;), the Nash-Sutcliffe efficiency criterion (&lt;i&gt;E&lt;/i&gt;), mean absolute error
(MAE) and root mean squared error (RMSE). Finally we examine model parameter
transferability between two neighbouring glaciers over two melt seasons using
mass balance data collected in the St. Elias Mountains of the southwest
Yukon. The temperature-index model parameters appear generally sensitive to
glacier aspect, mean surface elevation, albedo, wind speed, mean annual
temperature and temperature lapse rate. The simplified energy balance model
parameters are sensitive primarily to snow albedo. Model tuning with &lt;i&gt;E&lt;/i&gt;, MAE
and RMSE produces similar, or in some cases identical, parameter values. In
twelve tests of spatial and/or temporal parameter transferability, the
results with the lowest RMSE values with respect to ablation stake
measurements were achieved twice with a classical temperature-index
(degree-day) model, three times with a temperature-index model in which the
melt parameter is a function of potential radiation, and seven times with a
simplified energy-balance model. A full energy-balance model produced better
results than the other models in nine of twelve cases, though the tuning of
this model differs from that of the others.</description><dc:date>2011-11-16T00:00:00+01:00</dc:date></item><item rdf:about="http://www.the-cryosphere.net/5/989/2011/"><title>The multiphase physics of sea ice: a review for model developers</title><link>http://www.the-cryosphere.net/5/989/2011/</link><description>&lt;b&gt;The multiphase physics of sea ice: a review for model developers&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;The Cryosphere, 5, 989-1009, 2011&lt;br /&gt;&lt;br /&gt;Author(s): E. C. Hunke, D. Notz, A. K. Turner, and M. Vancoppenolle&lt;br /&gt;&lt;br /&gt;Rather than being solid throughout, sea ice contains liquid brine inclusions,
solid salts, microalgae, trace elements, gases, and other impurities which
all exist in the interstices of a porous, solid ice matrix. This multiphase
structure of sea ice arises from the fact that the salt that exists in
seawater cannot be incorporated into lattice sites in the pure ice component
of sea ice, but remains in liquid solution. Depending on the ice permeability
(determined by temperature, salinity and gas content), this brine can drain
from the ice, taking other sea ice constituents with it. Thus, sea ice
salinity and microstructure are tightly interconnected and play a significant
role in polar ecosystems and climate. As large-scale climate modeling efforts
move toward &quot;earth system&quot; simulations that include biological and chemical
cycles, renewed interest in the multiphase physics of sea ice has
strengthened research initiatives to observe, understand and model this
complex system. This review article provides an overview of these efforts,
highlighting known difficulties and requisite observations for further
progress in the field. We focus on mushy layer theory, which describes
general multiphase materials, and on numerical approaches now being explored
to model the multiphase evolution of sea ice and its interaction with
chemical, biological and climate systems.</description><dc:date>2011-11-14T00:00:00+01:00</dc:date></item></rdf:RDF>
