Konrad, Hannes; Gilbert, Lin; Cornford, Stephen L; Payne, Antony; Hogg, Anna; Muir, Alan; Shepherd, Andrew
Uneven onset and pace of ice‐dynamical imbalance in the Amundsen Sea Embayment, West Antarctica Journal Article
In: Geophys. Res. Lett., vol. 44, no. 2, pp. 910–918, 2017.
@article{Konrad2017-lr,
title = {Uneven onset and pace of ice‐dynamical imbalance in the Amundsen
Sea Embayment, West Antarctica},
author = {Hannes Konrad and Lin Gilbert and Stephen L Cornford and Antony Payne and Anna Hogg and Alan Muir and Andrew Shepherd},
year = {2017},
date = {2017-01-01},
journal = {Geophys. Res. Lett.},
volume = {44},
number = {2},
pages = {910–918},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractWe combine measurements acquired by five satellite
altimeter missions to obtain an uninterrupted record of ice
sheet elevation change over the Amundsen Sea Embayment, West
Antarctica, since 1992. Using these data, we examine the onset
of surface lowering arising through ice‐dynamical imbalance, and
the pace at which it has propagated inland, by tracking
elevation changes along glacier flow lines. Surface lowering has
spread slowest (},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
altimeter missions to obtain an uninterrupted record of ice
sheet elevation change over the Amundsen Sea Embayment, West
Antarctica, since 1992. Using these data, we examine the onset
of surface lowering arising through ice‐dynamical imbalance, and
the pace at which it has propagated inland, by tracking
elevation changes along glacier flow lines. Surface lowering has
spread slowest (
Smedsrud, Lars H; Halvorsen, Mari H; Stroeve, Julienne C; Zhang, Rong; Kloster, Kjell
Fram Strait sea ice export variability and September Arctic sea ice extent over the last 80 years Journal Article
In: Cryosphere, vol. 11, no. 1, pp. 65–79, 2017.
@article{Smedsrud2017-se,
title = {Fram Strait sea ice export variability and September Arctic sea
ice extent over the last 80 years},
author = {Lars H Smedsrud and Mari H Halvorsen and Julienne C Stroeve and Rong Zhang and Kjell Kloster},
year = {2017},
date = {2017-01-01},
journal = {Cryosphere},
volume = {11},
number = {1},
pages = {65–79},
publisher = {Copernicus GmbH},
abstract = {Abstract. A new long-term data record of Fram Strait sea ice
area export from 1935 to 2014 is developed using a combination
of satellite radar images and station observations of surface
pressure across Fram Strait. This data record shows that the
long-term annual mean export is about 880 000 km2, representing
10 % of the sea-ice-covered area inside the basin. The time
series has large interannual and multi-decadal variability but
no long-term trend. However, during the last decades, the amount
of ice exported has increased, with several years having annual
ice exports that exceeded 1 million km2. This increase is a
result of faster southward ice drift speeds due to stronger
southward geostrophic winds, largely explained by increasing
surface pressure over Greenland. Evaluating the trend onwards
from 1979 reveals an increase in annual ice export of about +6
% per decade, with spring and summer showing larger changes in
ice export (+11 % per decade) compared to autumn and winter
(+2.6 % per decade). Increased ice export during winter will
generally result in new ice growth and contributes to thinning
inside the Arctic Basin. Increased ice export during summer or
spring will, in contrast, contribute directly to open water
further north and a reduced summer sea ice extent through the
ice–albedo feedback. Relatively low spring and summer export
from 1950 to 1970 is thus consistent with a higher mid-September
sea ice extent for these years. Our results are not sensitive to
long-term change in Fram Strait sea ice concentration. We find a
general moderate influence between export anomalies and the
following September sea ice extent, explaining 18 % of the
variance between 1935 and 2014, but with higher values since
2004.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
area export from 1935 to 2014 is developed using a combination
of satellite radar images and station observations of surface
pressure across Fram Strait. This data record shows that the
long-term annual mean export is about 880 000 km2, representing
10 % of the sea-ice-covered area inside the basin. The time
series has large interannual and multi-decadal variability but
no long-term trend. However, during the last decades, the amount
of ice exported has increased, with several years having annual
ice exports that exceeded 1 million km2. This increase is a
result of faster southward ice drift speeds due to stronger
southward geostrophic winds, largely explained by increasing
surface pressure over Greenland. Evaluating the trend onwards
from 1979 reveals an increase in annual ice export of about +6
% per decade, with spring and summer showing larger changes in
ice export (+11 % per decade) compared to autumn and winter
(+2.6 % per decade). Increased ice export during winter will
generally result in new ice growth and contributes to thinning
inside the Arctic Basin. Increased ice export during summer or
spring will, in contrast, contribute directly to open water
further north and a reduced summer sea ice extent through the
ice–albedo feedback. Relatively low spring and summer export
from 1950 to 1970 is thus consistent with a higher mid-September
sea ice extent for these years. Our results are not sensitive to
long-term change in Fram Strait sea ice concentration. We find a
general moderate influence between export anomalies and the
following September sea ice extent, explaining 18 % of the
variance between 1935 and 2014, but with higher values since
2004.
Foresta, L; Gourmelen, N; Pálsson, F; Nienow, P; Björnsson, H; Shepherd, A
Surface elevation change and mass balance of Icelandic ice caps derived from swath mode CryoSat‐2 altimetry Journal Article
In: Geophys. Res. Lett., vol. 43, no. 23, pp. 12,138–12,145, 2016.
@article{Foresta2016-hg,
title = {Surface elevation change and mass balance of Icelandic ice caps
derived from swath mode CryoSat‐2 altimetry},
author = {L Foresta and N Gourmelen and F Pálsson and P Nienow and H Björnsson and A Shepherd},
year = {2016},
date = {2016-12-01},
journal = {Geophys. Res. Lett.},
volume = {43},
number = {23},
pages = {12,138–12,145},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractWe apply swath processing to CryoSat‐2 interferometric
mode data acquired over the Icelandic ice caps to generate maps
of rates of surface elevation change at 0.5 km postings. This
high‐resolution mapping reveals complex surface elevation
changes in the region, related to climate, ice dynamics, and
subglacial geothermal and magmatic processes. We estimate rates
of volume and mass change independently for the six major
Icelandic ice caps, 90% of Iceland's permanent ice cover, for
five glaciological years between October 2010 and September
2015. Annual mass balance is highly variable; during the
2014/2015 glaciological year, the Vatnajökull ice cap (~70%
of the glaciated area) experienced positive mass balance for the
first time since 1992/1993. Our results indicate that between
glaciological years 2010/2011and 2014/2015 Icelandic ice caps
have lost 5.8 $±$ 0.7 Gt a−1 on average, ~40% less than the
preceding 15 years, contributing 0.016 $±$ 0.002 mm a−1 to sea
level rise.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
mode data acquired over the Icelandic ice caps to generate maps
of rates of surface elevation change at 0.5 km postings. This
high‐resolution mapping reveals complex surface elevation
changes in the region, related to climate, ice dynamics, and
subglacial geothermal and magmatic processes. We estimate rates
of volume and mass change independently for the six major
Icelandic ice caps, 90% of Iceland's permanent ice cover, for
five glaciological years between October 2010 and September
2015. Annual mass balance is highly variable; during the
2014/2015 glaciological year, the Vatnajökull ice cap (~70%
of the glaciated area) experienced positive mass balance for the
first time since 1992/1993. Our results indicate that between
glaciological years 2010/2011and 2014/2015 Icelandic ice caps
have lost 5.8 $±$ 0.7 Gt a−1 on average, ~40% less than the
preceding 15 years, contributing 0.016 $±$ 0.002 mm a−1 to sea
level rise.
Hogg, Anna E; Shepherd, Andrew; Gourmelen, Noel; Engdahl, Marcus
Grounding line migration from 1992 to 2011 on Petermann Glacier, North-West Greenland Journal Article
In: J. Glaciol., vol. 62, no. 236, pp. 1104–1114, 2016.
@article{Hogg2016-nx,
title = {Grounding line migration from 1992 to 2011 on Petermann Glacier,
North-West Greenland},
author = {Anna E Hogg and Andrew Shepherd and Noel Gourmelen and Marcus Engdahl},
year = {2016},
date = {2016-12-01},
journal = {J. Glaciol.},
volume = {62},
number = {236},
pages = {1104–1114},
publisher = {Cambridge University Press (CUP)},
abstract = {ABSTRACTWe use satellite radar interferometry to investigate
changes in the location of the Petermann Glacier grounding line
between 1992 and 2011. The grounding line location was
identified in 17 quadruple-difference interferograms produced
from European Remote Sensing (ERS)-1/2 data – the most
extensive time series assembled at any ice stream to date. There
is close agreement (20.6 cm) between vertical displacement of
the floating ice shelf and relative tide amplitudes simulated by
the Arctic Ocean Dynamics-based Tide Model 5 (AODTM-5) Arctic
tide model. Over the 19 a period, the groundling line position
varied by 470 m, on average, with a maximum range of 7.0 km
observed on the north-east margin of the ice stream. Although
the mean range (2.8 km) and variability (320 m) of the grounding
line position is considerably lower if the unusually variable
north-east sector is not considered, our observations
demonstrate that large, isolated movements cannot be precluded,
thus sparse temporal records should be analysed with care. The
grounding line migration observed on Petermann Glacier is not significantly correlated with time (R2 = 0.22) despite reported
ice shelf thinning and episodes of large iceberg calving, which
suggests that unlike other ice streams, on the south-west margin
of the Greenland ice sheet, Petermann Glacier is dynamically
stable.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
changes in the location of the Petermann Glacier grounding line
between 1992 and 2011. The grounding line location was
identified in 17 quadruple-difference interferograms produced
from European Remote Sensing (ERS)-1/2 data – the most
extensive time series assembled at any ice stream to date. There
is close agreement (20.6 cm) between vertical displacement of
the floating ice shelf and relative tide amplitudes simulated by
the Arctic Ocean Dynamics-based Tide Model 5 (AODTM-5) Arctic
tide model. Over the 19 a period, the groundling line position
varied by 470 m, on average, with a maximum range of 7.0 km
observed on the north-east margin of the ice stream. Although
the mean range (2.8 km) and variability (320 m) of the grounding
line position is considerably lower if the unusually variable
north-east sector is not considered, our observations
demonstrate that large, isolated movements cannot be precluded,
thus sparse temporal records should be analysed with care. The
grounding line migration observed on Petermann Glacier is not significantly correlated with time (R2 = 0.22) despite reported
ice shelf thinning and episodes of large iceberg calving, which
suggests that unlike other ice streams, on the south-west margin
of the Greenland ice sheet, Petermann Glacier is dynamically
stable.
Nowicki, Sophie M J; Payne, Anthony; Larour, Eric; Seroussi, Helene; Goelzer, Heiko; Lipscomb, William; Gregory, Jonathan; Abe-Ouchi, Ayako; Shepherd, Andrew
Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6 Journal Article
In: Geosci. Model Dev., vol. 9, no. 12, pp. 4521–4545, 2016.
@article{Nowicki2016-co,
title = {Ice Sheet Model Intercomparison Project (ISMIP6) contribution
to CMIP6},
author = {Sophie M J Nowicki and Anthony Payne and Eric Larour and Helene Seroussi and Heiko Goelzer and William Lipscomb and Jonathan Gregory and Ayako Abe-Ouchi and Andrew Shepherd},
year = {2016},
date = {2016-12-01},
journal = {Geosci. Model Dev.},
volume = {9},
number = {12},
pages = {4521–4545},
publisher = {Copernicus GmbH},
abstract = {Abstract. Reducing the uncertainty in the past, present, and
future contribution of ice sheets to sea-level change requires a
coordinated effort between the climate and glaciology
communities. The Ice Sheet Model Intercomparison Project for
CMIP6 (ISMIP6) is the primary activity within the Coupled Model
Intercomparison Project – phase 6 (CMIP6) focusing on the
Greenland and Antarctic ice sheets. In this paper, we describe
the framework for ISMIP6 and its relationship with other
activities within CMIP6. The ISMIP6 experimental design relies
on CMIP6 climate models and includes, for the first time within
CMIP, coupled ice-sheet–climate models as well as standalone
ice-sheet models. To facilitate analysis of the multi-model
ensemble and to generate a set of standard climate inputs for
standalone ice-sheet models, ISMIP6 defines a protocol for all
variables related to ice sheets. ISMIP6 will provide a basis for
investigating the feedbacks, impacts, and sea-level changes
associated with dynamic ice sheets and for quantifying the
uncertainty in ice-sheet-sourced global sea-level change.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
future contribution of ice sheets to sea-level change requires a
coordinated effort between the climate and glaciology
communities. The Ice Sheet Model Intercomparison Project for
CMIP6 (ISMIP6) is the primary activity within the Coupled Model
Intercomparison Project – phase 6 (CMIP6) focusing on the
Greenland and Antarctic ice sheets. In this paper, we describe
the framework for ISMIP6 and its relationship with other
activities within CMIP6. The ISMIP6 experimental design relies
on CMIP6 climate models and includes, for the first time within
CMIP, coupled ice-sheet–climate models as well as standalone
ice-sheet models. To facilitate analysis of the multi-model
ensemble and to generate a set of standard climate inputs for
standalone ice-sheet models, ISMIP6 defines a protocol for all
variables related to ice sheets. ISMIP6 will provide a basis for
investigating the feedbacks, impacts, and sea-level changes
associated with dynamic ice sheets and for quantifying the
uncertainty in ice-sheet-sourced global sea-level change.
Cornford, S L; Martin, D F; Lee, V; Payne, A J; Ng, E G
Adaptive mesh refinement versus subgrid friction interpolation in simulations of Antarctic ice dynamics Journal Article
In: Ann. Glaciol., vol. 57, no. 73, pp. 1–9, 2016.
@article{Cornford2016-gk,
title = {Adaptive mesh refinement versus subgrid friction interpolation
in simulations of Antarctic ice dynamics},
author = {S L Cornford and D F Martin and V Lee and A J Payne and E G Ng},
year = {2016},
date = {2016-09-01},
journal = {Ann. Glaciol.},
volume = {57},
number = {73},
pages = {1–9},
publisher = {Cambridge University Press (CUP)},
abstract = {ABSTRACTAt least in conventional hydrostatic ice-sheet models,
the numerical error associated with grounding line dynamics can
be reduced by modifications to the discretization scheme. These
involve altering the integration formulae for the basal traction
and/or driving stress close to the grounding line and exhibit
lower – if still first-order – error in the MISMIP3d
experiments. MISMIP3d may not represent the variety of real ice
streams, in that it lacks strong lateral stresses, and imposes a
large basal traction at the grounding line. We study resolution
sensitivity in the context of extreme forcing simulations of the
entire Antarctic ice sheet, using the BISICLES adaptive mesh
ice-sheet model with two schemes: the original treatment, and a
scheme, which modifies the discretization of the basal traction.
The second scheme does indeed improve accuracy – by around a
factor of two – for a given mesh spacing, but $łesssim 1$ km
resolution is still necessary. For example, in coarser
resolution simulations Thwaites Glacier retreats so slowly that
other ice streams divert its trunk. In contrast, with $łesssim
1$ km meshes, the same glacier retreats far more quickly and
triggers the final phase of West Antarctic collapse a century
before any such diversion can take place.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
the numerical error associated with grounding line dynamics can
be reduced by modifications to the discretization scheme. These
involve altering the integration formulae for the basal traction
and/or driving stress close to the grounding line and exhibit
lower – if still first-order – error in the MISMIP3d
experiments. MISMIP3d may not represent the variety of real ice
streams, in that it lacks strong lateral stresses, and imposes a
large basal traction at the grounding line. We study resolution
sensitivity in the context of extreme forcing simulations of the
entire Antarctic ice sheet, using the BISICLES adaptive mesh
ice-sheet model with two schemes: the original treatment, and a
scheme, which modifies the discretization of the basal traction.
The second scheme does indeed improve accuracy – by around a
factor of two – for a given mesh spacing, but $łesssim 1$ km
resolution is still necessary. For example, in coarser
resolution simulations Thwaites Glacier retreats so slowly that
other ice streams divert its trunk. In contrast, with $łesssim
1$ km meshes, the same glacier retreats far more quickly and
triggers the final phase of West Antarctic collapse a century
before any such diversion can take place.
Ignéczi, Ádám; Sole, Andrew J; Livingstone, Stephen J; Leeson, Amber A; Fettweis, Xavier; Selmes, Nick; Gourmelen, Noel; Briggs, Kate
Northeast sector of the Greenland Ice Sheet to undergo the greatest inland expansion of supraglacial lakes during the 21st century Journal Article
In: Geophys. Res. Lett., vol. 43, no. 18, pp. 9729–9738, 2016.
@article{Igneczi2016-ou,
title = {Northeast sector of the Greenland Ice Sheet to undergo the
greatest inland expansion of supraglacial lakes during the 21st
century},
author = {Ádám Ignéczi and Andrew J Sole and Stephen J Livingstone and Amber A Leeson and Xavier Fettweis and Nick Selmes and Noel Gourmelen and Kate Briggs},
year = {2016},
date = {2016-09-01},
journal = {Geophys. Res. Lett.},
volume = {43},
number = {18},
pages = {9729–9738},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractThe formation and rapid drainage of supraglacial lakes
(SGL) influences the mass balance and dynamics of the Greenland
Ice Sheet (GrIS). Although SGLs are expected to spread inland
during the 21st century due to atmospheric warming, less is
known about their future spatial distribution and volume. We use
GrIS surface elevation model and regional climate model outputs
to show that at the end of the 21st century (2070–2099)
approximately 9.8 $±$ 3.9 km3 (+113% compared to 1980‐2009)
and 12.6 $±$ 5 km3 (+174%) of meltwater could be stored in
SGLs under moderate and high representative concentration
pathways (RCP 4.5 and 8.5), respectively. The largest increase
is expected in the northeastern sector of the GrIS (191% in RCP
4.5 and 320% in RCP 8.5), whereas in west Greenland, where the
most SGLs are currently observed, the future increase will be
relatively moderate (55% in RCP 4.5 and 68% in RCP 8.5).},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
(SGL) influences the mass balance and dynamics of the Greenland
Ice Sheet (GrIS). Although SGLs are expected to spread inland
during the 21st century due to atmospheric warming, less is
known about their future spatial distribution and volume. We use
GrIS surface elevation model and regional climate model outputs
to show that at the end of the 21st century (2070–2099)
approximately 9.8 $±$ 3.9 km3 (+113% compared to 1980‐2009)
and 12.6 $±$ 5 km3 (+174%) of meltwater could be stored in
SGLs under moderate and high representative concentration
pathways (RCP 4.5 and 8.5), respectively. The largest increase
is expected in the northeastern sector of the GrIS (191% in RCP
4.5 and 320% in RCP 8.5), whereas in west Greenland, where the
most SGLs are currently observed, the future increase will be
relatively moderate (55% in RCP 4.5 and 68% in RCP 8.5).
Notz, Dirk; Jahn, Alexandra; Holland, Marika; Hunke, Elizabeth; Massonnet, François; Stroeve, Julienne; Tremblay, Bruno; Vancoppenolle, Martin
The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations Journal Article
In: Geosci. Model Dev., vol. 9, no. 9, pp. 3427–3446, 2016.
@article{Notz2016-lk,
title = {The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP):
understanding sea ice through climate-model simulations},
author = {Dirk Notz and Alexandra Jahn and Marika Holland and Elizabeth Hunke and François Massonnet and Julienne Stroeve and Bruno Tremblay and Martin Vancoppenolle},
year = {2016},
date = {2016-09-01},
journal = {Geosci. Model Dev.},
volume = {9},
number = {9},
pages = {3427–3446},
publisher = {Copernicus GmbH},
abstract = {Abstract. A better understanding of the role of sea ice for the
changing climate of our planet is the central aim of the
diagnostic Coupled Model Intercomparison Project 6
(CMIP6)-endorsed Sea-Ice Model Intercomparison Project (SIMIP).
To reach this aim, SIMIP requests sea-ice-related variables from
climate-model simulations that allow for a better understanding
and, ultimately, improvement of biases and errors in sea-ice
simulations with large-scale climate models. This then allows us
to better understand to what degree CMIP6 model simulations
relate to reality, thus improving our confidence in answering
sea-ice-related questions based on these simulations.
Furthermore, the SIMIP protocol provides a standard for sea-ice
model output that will streamline and hence simplify the
analysis of the simulated sea-ice evolution in research projects
independent of CMIP. To reach its aims, SIMIP provides a
structured list of model output that allows for an examination
of the three main budgets that govern the evolution of sea ice,
namely the heat budget, the momentum budget, and the mass
budget. In this contribution, we explain the aims of SIMIP in
more detail and outline how its design allows us to answer some
of the most pressing questions that sea ice still poses to the
international climate-research community.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
changing climate of our planet is the central aim of the
diagnostic Coupled Model Intercomparison Project 6
(CMIP6)-endorsed Sea-Ice Model Intercomparison Project (SIMIP).
To reach this aim, SIMIP requests sea-ice-related variables from
climate-model simulations that allow for a better understanding
and, ultimately, improvement of biases and errors in sea-ice
simulations with large-scale climate models. This then allows us
to better understand to what degree CMIP6 model simulations
relate to reality, thus improving our confidence in answering
sea-ice-related questions based on these simulations.
Furthermore, the SIMIP protocol provides a standard for sea-ice
model output that will streamline and hence simplify the
analysis of the simulated sea-ice evolution in research projects
independent of CMIP. To reach its aims, SIMIP provides a
structured list of model output that allows for an examination
of the three main budgets that govern the evolution of sea ice,
namely the heat budget, the momentum budget, and the mass
budget. In this contribution, we explain the aims of SIMIP in
more detail and outline how its design allows us to answer some
of the most pressing questions that sea ice still poses to the
international climate-research community.
Runge, Michael C; Stroeve, Julienne C; Barrett, Andrew P; McDonald-Madden, Eve
Detecting failure of climate predictions Journal Article
In: Nat. Clim. Chang., vol. 6, no. 9, pp. 861–864, 2016.
@article{Runge2016-fd,
title = {Detecting failure of climate predictions},
author = {Michael C Runge and Julienne C Stroeve and Andrew P Barrett and Eve McDonald-Madden},
year = {2016},
date = {2016-09-01},
journal = {Nat. Clim. Chang.},
volume = {6},
number = {9},
pages = {861–864},
publisher = {Springer Science and Business Media LLC},
abstract = {This study shows how failure to capture system dynamics can be
detected in climate model predictions. This information should
improve model projections and facilitate better decision-making.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
detected in climate model predictions. This information should
improve model projections and facilitate better decision-making.
Stone, Emma J; Capron, Emilie; Lunt, Daniel J; Payne, Antony J; Singarayer, Joy S; Valdes, Paul J; Wolff, Eric W
Impact of meltwater on high-latitude early Last Interglacial climate Journal Article
In: Clim. Past, vol. 12, no. 9, pp. 1919–1932, 2016.
@article{Stone2016-te,
title = {Impact of meltwater on high-latitude early Last Interglacial
climate},
author = {Emma J Stone and Emilie Capron and Daniel J Lunt and Antony J Payne and Joy S Singarayer and Paul J Valdes and Eric W Wolff},
year = {2016},
date = {2016-09-01},
journal = {Clim. Past},
volume = {12},
number = {9},
pages = {1919–1932},
publisher = {Copernicus GmbH},
abstract = {Abstract. Recent data compilations of the early Last
Interglacial period have indicated a bipolar temperature
response at 130 ka, with colder-than-present temperatures in the
North Atlantic and warmer-than-present temperatures in the
Southern Ocean and over Antarctica. However, climate model
simulations of this period have been unable to reproduce this
response, when only orbital and greenhouse gas forcings are
considered in a climate model framework. Using a full-complexity
general circulation model we perform climate model simulations
representative of 130 ka conditions which include a magnitude of
freshwater forcing derived from data at this time. We show that
this meltwater from the remnant Northern Hemisphere ice sheets
during the glacial–interglacial transition produces a modelled
climate response similar to the observed colder-than-present
temperatures in the North Atlantic at 130 ka and also results in
warmer-than-present temperatures in the Southern Ocean via the
bipolar seesaw mechanism. Further simulations in which the West
Antarctic Ice Sheet is also removed lead to warming in East
Antarctica and the Southern Ocean but do not appreciably improve
the model–data comparison. This integrated model–data approach
provides evidence that Northern Hemisphere freshwater forcing is
an important player in the evolution of early Last Interglacial
climate.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Interglacial period have indicated a bipolar temperature
response at 130 ka, with colder-than-present temperatures in the
North Atlantic and warmer-than-present temperatures in the
Southern Ocean and over Antarctica. However, climate model
simulations of this period have been unable to reproduce this
response, when only orbital and greenhouse gas forcings are
considered in a climate model framework. Using a full-complexity
general circulation model we perform climate model simulations
representative of 130 ka conditions which include a magnitude of
freshwater forcing derived from data at this time. We show that
this meltwater from the remnant Northern Hemisphere ice sheets
during the glacial–interglacial transition produces a modelled
climate response similar to the observed colder-than-present
temperatures in the North Atlantic at 130 ka and also results in
warmer-than-present temperatures in the Southern Ocean via the
bipolar seesaw mechanism. Further simulations in which the West
Antarctic Ice Sheet is also removed lead to warming in East
Antarctica and the Southern Ocean but do not appreciably improve
the model–data comparison. This integrated model–data approach
provides evidence that Northern Hemisphere freshwater forcing is
an important player in the evolution of early Last Interglacial
climate.
Sun, S; Cornford, S L; Gwyther, D E; Gladstone, R M; Galton-Fenzi, B K; Zhao, L; Moore, J C
Impact of ocean forcing on the Aurora Basin in the 21st and 22nd centuries Journal Article
In: Ann. Glaciol., vol. 57, no. 73, pp. 79–86, 2016.
@article{Sun2016-dv,
title = {Impact of ocean forcing on the Aurora Basin in the 21st and 22nd
centuries},
author = {S Sun and S L Cornford and D E Gwyther and R M Gladstone and B K Galton-Fenzi and L Zhao and J C Moore},
year = {2016},
date = {2016-09-01},
journal = {Ann. Glaciol.},
volume = {57},
number = {73},
pages = {79–86},
publisher = {Cambridge University Press (CUP)},
abstract = {ABSTRACTThe grounded ice in the Totten and Dalton glaciers is an
essential component of the buttressing for the marine-based
Aurora basin, and hence their stability is important to the
future rate of mass loss from East Antarctica. Totten and
Vanderford glaciers are joined by a deep east-west running
subglacial trench between the continental ice sheet and Law
Dome, while a shallower trench links the Totten and Dalton
glaciers. All three glaciers flow into the ocean close to the
Antarctic circle and experience ocean-driven ice shelf melt
rates comparable with the Amundsen Sea Embayment. We investigate
this combination of trenches and ice shelves with the BISICLES
adaptive mesh ice-sheet model and ocean-forcing melt rates
derived from two global climate models. We find that ice shelf
ablation at a rate comparable with the present day is sufficient
to cause widespread grounding line retreat in an east-west
direction across Totten and Dalton glaciers, with projected
future warming causing faster retreat. Meanwhile, southward
retreat is limited by the shallower ocean facing slopes between
the coast and the bulk of the Aurora sub-glacial trench. However
the two climate models produce completely different future ice
shelf basal melt rates in this region: HadCM3 drives increasing
sub-ice shelf melting to ~2150, while ECHAM5 shows little or no
increase in sub-ice shelf melting under the two greenhouse gas
forcing scenarios.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
essential component of the buttressing for the marine-based
Aurora basin, and hence their stability is important to the
future rate of mass loss from East Antarctica. Totten and
Vanderford glaciers are joined by a deep east-west running
subglacial trench between the continental ice sheet and Law
Dome, while a shallower trench links the Totten and Dalton
glaciers. All three glaciers flow into the ocean close to the
Antarctic circle and experience ocean-driven ice shelf melt
rates comparable with the Amundsen Sea Embayment. We investigate
this combination of trenches and ice shelves with the BISICLES
adaptive mesh ice-sheet model and ocean-forcing melt rates
derived from two global climate models. We find that ice shelf
ablation at a rate comparable with the present day is sufficient
to cause widespread grounding line retreat in an east-west
direction across Totten and Dalton glaciers, with projected
future warming causing faster retreat. Meanwhile, southward
retreat is limited by the shallower ocean facing slopes between
the coast and the bulk of the Aurora sub-glacial trench. However
the two climate models produce completely different future ice
shelf basal melt rates in this region: HadCM3 drives increasing
sub-ice shelf melting to ~2150, while ECHAM5 shows little or no
increase in sub-ice shelf melting under the two greenhouse gas
forcing scenarios.
Tilling, Rachel L; Ridout, Andy; Shepherd, Andrew
Near-real-time Arctic sea ice thickness and volume from CryoSat-2 Journal Article
In: Cryosphere, vol. 10, no. 5, pp. 2003–2012, 2016.
@article{Tilling2016-tq,
title = {Near-real-time Arctic sea ice thickness and volume from
CryoSat-2},
author = {Rachel L Tilling and Andy Ridout and Andrew Shepherd},
year = {2016},
date = {2016-09-01},
journal = {Cryosphere},
volume = {10},
number = {5},
pages = {2003–2012},
publisher = {Copernicus GmbH},
abstract = {Abstract. Timely observations of sea ice thickness help us to
understand the Arctic climate, and have the potential to support
seasonal forecasts and operational activities in the polar
regions. Although it is possible to calculate Arctic sea ice
thickness using measurements acquired by CryoSat-2, the latency
of the final release data set is typically 1 month due to the
time required to determine precise satellite orbits. We use a
new fast-delivery CryoSat-2 data set based on preliminary orbits
to compute Arctic sea ice thickness in near real time (NRT), and
analyse this data for one sea ice growth season from October
2014 to April 2015. We show that this NRT sea-ice-thickness
product is of comparable accuracy to that produced using the
final release CryoSat-2 data, with a mean thickness difference
of 0.9 cm, demonstrating that the satellite orbit is not a
critical factor in determining sea ice freeboard. In addition,
the CryoSat-2 fast-delivery product also provides measurements
of Arctic sea ice thickness within 3 days of acquisition by the
satellite, and a measurement is delivered, on average, within
14, 7 and 6 km of each location in the Arctic every 2, 14 and 28
days respectively. The CryoSat-2 NRT sea-ice-thickness data set
provides an additional constraint for short-term and seasonal
predictions of changes in the Arctic ice cover and could support
industries such as tourism and transport through assimilation in
operational models.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
understand the Arctic climate, and have the potential to support
seasonal forecasts and operational activities in the polar
regions. Although it is possible to calculate Arctic sea ice
thickness using measurements acquired by CryoSat-2, the latency
of the final release data set is typically 1 month due to the
time required to determine precise satellite orbits. We use a
new fast-delivery CryoSat-2 data set based on preliminary orbits
to compute Arctic sea ice thickness in near real time (NRT), and
analyse this data for one sea ice growth season from October
2014 to April 2015. We show that this NRT sea-ice-thickness
product is of comparable accuracy to that produced using the
final release CryoSat-2 data, with a mean thickness difference
of 0.9 cm, demonstrating that the satellite orbit is not a
critical factor in determining sea ice freeboard. In addition,
the CryoSat-2 fast-delivery product also provides measurements
of Arctic sea ice thickness within 3 days of acquisition by the
satellite, and a measurement is delivered, on average, within
14, 7 and 6 km of each location in the Arctic every 2, 14 and 28
days respectively. The CryoSat-2 NRT sea-ice-thickness data set
provides an additional constraint for short-term and seasonal
predictions of changes in the Arctic ice cover and could support
industries such as tourism and transport through assimilation in
operational models.
Langley, Emily S; Leeson, Amber A; Stokes, Chris R; Jamieson, Stewart S R
Seasonal evolution of supraglacial lakes on an East Antarctic outlet glacier Journal Article
In: Geophys. Res. Lett., vol. 43, no. 16, pp. 8563–8571, 2016.
BibTeX | Tags:
@article{Langley2016-al,
title = {Seasonal evolution of supraglacial lakes on an East Antarctic
outlet glacier},
author = {Emily S Langley and Amber A Leeson and Chris R Stokes and Stewart S R Jamieson},
year = {2016},
date = {2016-08-01},
journal = {Geophys. Res. Lett.},
volume = {43},
number = {16},
pages = {8563–8571},
publisher = {American Geophysical Union (AGU)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Roberts, William H G; Payne, Antony J; Valdes, Paul J
The role of basal hydrology in the surging of the Laurentide Ice Sheet Journal Article
In: Clim. Past, vol. 12, no. 8, pp. 1601–1617, 2016.
@article{Roberts2016-dh,
title = {The role of basal hydrology in the surging of the Laurentide Ice
Sheet},
author = {William H G Roberts and Antony J Payne and Paul J Valdes},
year = {2016},
date = {2016-08-01},
journal = {Clim. Past},
volume = {12},
number = {8},
pages = {1601–1617},
publisher = {Copernicus GmbH},
abstract = {Abstract. We use the Glimmer ice sheet model to simulate
periodic surges over the Laurentide Ice Sheet during the Last
Glacial Maximum. In contrast to previous studies we use the
depth of water at the base of the ice sheet as the switch for
these surges. We find that the surges are supported within the
model and are quite robust across a very wide range of parameter
choices, in contrast to many previous studies where surges only
occur for rather specific cases. The robustness of the surges is
likely due to the use of water as the switch mechanism for
sliding. The statistics of the binge–purge cycles resemble
observed Heinrich events. The events have a period of between 10
and 15 thousand years and can produce fluxes of ice from the
mouth of Hudson Strait of 0.05 Sv – a maximum flux of 0.06 Sv
is possible. The events produce an ice volume of 2.50 $times$
106 km3, with a range of 4.30 $times$ 106–1.90 $times$ 106
km3 possible. We undertake a suite of sensitivity tests varying
the sliding parameter, the water drainage scheme, the sliding
versus water depth parameterisation and the resolution, all of
which support the ice sheet surges. This suggests that
internally triggered ice sheet surges were a robust feature of
the Laurentide Ice Sheet and are a possible explanation for the
observed Heinrich events.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
periodic surges over the Laurentide Ice Sheet during the Last
Glacial Maximum. In contrast to previous studies we use the
depth of water at the base of the ice sheet as the switch for
these surges. We find that the surges are supported within the
model and are quite robust across a very wide range of parameter
choices, in contrast to many previous studies where surges only
occur for rather specific cases. The robustness of the surges is
likely due to the use of water as the switch mechanism for
sliding. The statistics of the binge–purge cycles resemble
observed Heinrich events. The events have a period of between 10
and 15 thousand years and can produce fluxes of ice from the
mouth of Hudson Strait of 0.05 Sv – a maximum flux of 0.06 Sv
is possible. The events produce an ice volume of 2.50 $times$
106 km3, with a range of 4.30 $times$ 106–1.90 $times$ 106
km3 possible. We undertake a suite of sensitivity tests varying
the sliding parameter, the water drainage scheme, the sliding
versus water depth parameterisation and the resolution, all of
which support the ice sheet surges. This suggests that
internally triggered ice sheet surges were a robust feature of
the Laurentide Ice Sheet and are a possible explanation for the
observed Heinrich events.
Stroeve, Julienne C; Jenouvrier, Stephanie; Campbell, G Garrett; Barbraud, Christophe; Delord, Karine
Mapping and assessing variability in the Antarctic marginal ice zone, pack ice and coastal polynyas in two sea ice algorithms with implications on breeding success of snow petrels Journal Article
In: Cryosphere, vol. 10, no. 4, pp. 1823–1843, 2016.
@article{Stroeve2016-dt,
title = {Mapping and assessing variability in the Antarctic marginal ice
zone, pack ice and coastal polynyas in two sea ice algorithms
with implications on breeding success of snow petrels},
author = {Julienne C Stroeve and Stephanie Jenouvrier and G Garrett Campbell and Christophe Barbraud and Karine Delord},
year = {2016},
date = {2016-08-01},
journal = {Cryosphere},
volume = {10},
number = {4},
pages = {1823–1843},
publisher = {Copernicus GmbH},
abstract = {Abstract. Sea ice variability within the marginal ice zone (MIZ)
and polynyas plays an important role for phytoplankton
productivity and krill abundance. Therefore, mapping their
spatial extent as well as seasonal and interannual variability
is essential for understanding how current and future changes in
these biologically active regions may impact the Antarctic
marine ecosystem. Knowledge of the distribution of MIZ,
consolidated pack ice and coastal polynyas in the total
Antarctic sea ice cover may also help to shed light on the
factors contributing towards recent expansion of the Antarctic
ice cover in some regions and contraction in others. The
long-term passive microwave satellite data record provides the
longest and most consistent record for assessing the proportion
of the sea ice cover that is covered by each of these ice
categories. However, estimates of the amount of MIZ,
consolidated pack ice and polynyas depend strongly on which sea
ice algorithm is used. This study uses two popular passive
microwave sea ice algorithms, the NASA Team and Bootstrap, and
applies the same thresholds to the sea ice concentrations to
evaluate the distribution and variability in the MIZ, the
consolidated pack ice and coastal polynyas. Results reveal that
the seasonal cycle in the MIZ and pack ice is generally similar
between both algorithms, yet the NASA Team algorithm has on
average twice the MIZ and half the consolidated pack ice area as
the Bootstrap algorithm. Trends also differ, with the Bootstrap
algorithm suggesting statistically significant trends towards
increased pack ice area and no statistically significant trends
in the MIZ. The NASA Team algorithm on the other hand indicates
statistically significant positive trends in the MIZ during
spring. Potential coastal polynya area and amount of broken ice
within the consolidated ice pack are also larger in the NASA
Team algorithm. The timing of maximum polynya area may differ by
as much as 5 months between algorithms. These differences lead
to different relationships between sea ice characteristics and
biological processes, as illustrated here with the breeding
success of an Antarctic seabird.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
and polynyas plays an important role for phytoplankton
productivity and krill abundance. Therefore, mapping their
spatial extent as well as seasonal and interannual variability
is essential for understanding how current and future changes in
these biologically active regions may impact the Antarctic
marine ecosystem. Knowledge of the distribution of MIZ,
consolidated pack ice and coastal polynyas in the total
Antarctic sea ice cover may also help to shed light on the
factors contributing towards recent expansion of the Antarctic
ice cover in some regions and contraction in others. The
long-term passive microwave satellite data record provides the
longest and most consistent record for assessing the proportion
of the sea ice cover that is covered by each of these ice
categories. However, estimates of the amount of MIZ,
consolidated pack ice and polynyas depend strongly on which sea
ice algorithm is used. This study uses two popular passive
microwave sea ice algorithms, the NASA Team and Bootstrap, and
applies the same thresholds to the sea ice concentrations to
evaluate the distribution and variability in the MIZ, the
consolidated pack ice and coastal polynyas. Results reveal that
the seasonal cycle in the MIZ and pack ice is generally similar
between both algorithms, yet the NASA Team algorithm has on
average twice the MIZ and half the consolidated pack ice area as
the Bootstrap algorithm. Trends also differ, with the Bootstrap
algorithm suggesting statistically significant trends towards
increased pack ice area and no statistically significant trends
in the MIZ. The NASA Team algorithm on the other hand indicates
statistically significant positive trends in the MIZ during
spring. Potential coastal polynya area and amount of broken ice
within the consolidated ice pack are also larger in the NASA
Team algorithm. The timing of maximum polynya area may differ by
as much as 5 months between algorithms. These differences lead
to different relationships between sea ice characteristics and
biological processes, as illustrated here with the breeding
success of an Antarctic seabird.
Asay-Davis, Xylar S; Cornford, Stephen L; Durand, Gaël; Galton-Fenzi, Benjamin K; Gladstone, Rupert M; Gudmundsson, G Hilmar; Hattermann, Tore; Holland, David M; Holland, Denise; Holland, Paul R; Martin, Daniel F; Mathiot, Pierre; Pattyn, Frank; Seroussi, Hélène
Experimental design for three interrelated marine ice sheet and ocean model intercomparison projects: MISMIP v. 3 (MISMIP +), ISOMIP v. 2 (ISOMIP +) and MISOMIP v. 1 (MISOMIP1) Journal Article
In: Geosci. Model Dev., vol. 9, no. 7, pp. 2471–2497, 2016.
@article{Asay-Davis2016-yl,
title = {Experimental design for three interrelated marine ice sheet and
ocean model intercomparison projects: MISMIP v. 3 (MISMIP
+), ISOMIP v. 2 (ISOMIP +) and MISOMIP v. 1 (MISOMIP1)},
author = {Xylar S Asay-Davis and Stephen L Cornford and Gaël Durand and Benjamin K Galton-Fenzi and Rupert M Gladstone and G Hilmar Gudmundsson and Tore Hattermann and David M Holland and Denise Holland and Paul R Holland and Daniel F Martin and Pierre Mathiot and Frank Pattyn and Hélène Seroussi},
year = {2016},
date = {2016-07-01},
journal = {Geosci. Model Dev.},
volume = {9},
number = {7},
pages = {2471–2497},
publisher = {Copernicus GmbH},
abstract = {Abstract. Coupled ice sheet–ocean models capable of simulating
moving grounding lines are just becoming available. Such models
have a broad range of potential applications in studying the
dynamics of marine ice sheets and tidewater glaciers, from
process studies to future projections of ice mass loss and sea
level rise. The Marine Ice Sheet–Ocean Model Intercomparison
Project (MISOMIP) is a community effort aimed at designing and
coordinating a series of model intercomparison projects (MIPs)
for model evaluation in idealized setups, model verification
based on observations, and future projections for key regions of
the West Antarctic Ice Sheet (WAIS). Here we describe
computational experiments constituting three interrelated MIPs
for marine ice sheet models and regional ocean circulation
models incorporating ice shelf cavities. These consist of ice
sheet experiments under the Marine Ice Sheet MIP third phase
(MISMIP+), ocean experiments under the Ice Shelf-Ocean MIP
second phase (ISOMIP+) and coupled ice sheet–ocean experiments
under the MISOMIP first phase (MISOMIP1). All three MIPs use a
shared domain with idealized bedrock topography and forcing,
allowing the coupled simulations (MISOMIP1) to be compared
directly to the individual component simulations (MISMIP+ and
ISOMIP+). The experiments, which have qualitative similarities
to Pine Island Glacier Ice Shelf and the adjacent region of the
Amundsen Sea, are designed to explore the effects of changes in
ocean conditions, specifically the temperature at depth, on
basal melting and ice dynamics. In future work, differences
between model results will form the basis for the evaluation of
the participating models.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
moving grounding lines are just becoming available. Such models
have a broad range of potential applications in studying the
dynamics of marine ice sheets and tidewater glaciers, from
process studies to future projections of ice mass loss and sea
level rise. The Marine Ice Sheet–Ocean Model Intercomparison
Project (MISOMIP) is a community effort aimed at designing and
coordinating a series of model intercomparison projects (MIPs)
for model evaluation in idealized setups, model verification
based on observations, and future projections for key regions of
the West Antarctic Ice Sheet (WAIS). Here we describe
computational experiments constituting three interrelated MIPs
for marine ice sheet models and regional ocean circulation
models incorporating ice shelf cavities. These consist of ice
sheet experiments under the Marine Ice Sheet MIP third phase
(MISMIP+), ocean experiments under the Ice Shelf-Ocean MIP
second phase (ISOMIP+) and coupled ice sheet–ocean experiments
under the MISOMIP first phase (MISOMIP1). All three MIPs use a
shared domain with idealized bedrock topography and forcing,
allowing the coupled simulations (MISOMIP1) to be compared
directly to the individual component simulations (MISMIP+ and
ISOMIP+). The experiments, which have qualitative similarities
to Pine Island Glacier Ice Shelf and the adjacent region of the
Amundsen Sea, are designed to explore the effects of changes in
ocean conditions, specifically the temperature at depth, on
basal melting and ice dynamics. In future work, differences
between model results will form the basis for the evaluation of
the participating models.
Briggs, Kate; Shepherd, Andrew; Hogg, Anna; Ivins, Erik; Schlegel, Nicole; Joughin, Ian; Smith, Ben; Krinner, Gerhard; Moyano, Gorka; Nowicki, Sophie; Payne, Tony; Rignot, Eric; Velicogna, Isabella; Scambos, Ted; Broeke, Michiel; Whitehouse, Pippa
Charting ice sheet contributions to global sea level rise Journal Article
In: Eos (Washington DC), vol. 97, 2016.
@article{Briggs2016-fi,
title = {Charting ice sheet contributions to global sea level rise},
author = {Kate Briggs and Andrew Shepherd and Anna Hogg and Erik Ivins and Nicole Schlegel and Ian Joughin and Ben Smith and Gerhard Krinner and Gorka Moyano and Sophie Nowicki and Tony Payne and Eric Rignot and Isabella Velicogna and Ted Scambos and Michiel Broeke and Pippa Whitehouse},
year = {2016},
date = {2016-07-01},
journal = {Eos (Washington DC)},
volume = {97},
publisher = {American Geophysical Union (AGU)},
abstract = {An international team produced an integrated assessment of polar
ice mass losses in 2012. Now efforts to provide an up-to-date
assessment are under way, with an open invitation for
participation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
ice mass losses in 2012. Now efforts to provide an up-to-date
assessment are under way, with an open invitation for
participation.
McMillan, Malcolm; Leeson, Amber; Shepherd, Andrew; Briggs, Kate; Armitage, Thomas W K; Hogg, Anna; Munneke, Peter Kuipers; Broeke, Michiel; Noël, Brice; Berg, Willem Jan; Ligtenberg, Stefan; Horwath, Martin; Groh, Andreas; Muir, Alan; Gilbert, Lin
A high‐resolution record of Greenland mass balance Journal Article
In: Geophys. Res. Lett., vol. 43, no. 13, pp. 7002–7010, 2016.
@article{McMillan2016-bl,
title = {A high‐resolution record of Greenland mass balance},
author = {Malcolm McMillan and Amber Leeson and Andrew Shepherd and Kate Briggs and Thomas W K Armitage and Anna Hogg and Peter Kuipers Munneke and Michiel Broeke and Brice Noël and Willem Jan Berg and Stefan Ligtenberg and Martin Horwath and Andreas Groh and Alan Muir and Lin Gilbert},
year = {2016},
date = {2016-07-01},
journal = {Geophys. Res. Lett.},
volume = {43},
number = {13},
pages = {7002–7010},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractWe map recent Greenland Ice Sheet elevation change at
high spatial (5 km) and temporal (monthly) resolution using
CryoSat‐2 altimetry. After correcting for the impact of changing
snowpack properties associated with unprecedented surface
melting in 2012, we find good agreement (3 cm/yr bias) with
airborne measurements. With the aid of regional climate and firn
modeling, we compute high spatial and temporal resolution records of Greenland mass evolution, which correlate (R = 0.96)
with monthly satellite gravimetry and reveal glacier dynamic
imbalance. During 2011–2014, Greenland mass loss averaged 269
$±$ 51 Gt/yr. Atmospherically driven losses were widespread,
with surface melt variability driving large fluctuations in the
annual mass deficit. Terminus regions of five dynamically
thinning glaciers, which constitute less than 1% of Greenland's
area, contributed more than 12% of the net ice loss. This
high‐resolution record demonstrates that mass deficits extending
over small spatial and temporal scales have made a relatively
large contribution to recent ice sheet imbalance.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
high spatial (5 km) and temporal (monthly) resolution using
CryoSat‐2 altimetry. After correcting for the impact of changing
snowpack properties associated with unprecedented surface
melting in 2012, we find good agreement (3 cm/yr bias) with
airborne measurements. With the aid of regional climate and firn
modeling, we compute high spatial and temporal resolution records of Greenland mass evolution, which correlate (R = 0.96)
with monthly satellite gravimetry and reveal glacier dynamic
imbalance. During 2011–2014, Greenland mass loss averaged 269
$±$ 51 Gt/yr. Atmospherically driven losses were widespread,
with surface melt variability driving large fluctuations in the
annual mass deficit. Terminus regions of five dynamically
thinning glaciers, which constitute less than 1% of Greenland's
area, contributed more than 12% of the net ice loss. This
high‐resolution record demonstrates that mass deficits extending
over small spatial and temporal scales have made a relatively
large contribution to recent ice sheet imbalance.
Armitage, Thomas W K; Bacon, Sheldon; Ridout, Andy L; Thomas, Sam F; Aksenov, Yevgeny; Wingham, Duncan J
Arctic sea surface height variability and change from satellite radar altimetry and GRACE, 2003–2014 Journal Article
In: J. Geophys. Res. Oceans, vol. 121, no. 6, pp. 4303–4322, 2016.
@article{Armitage2016-cd,
title = {Arctic sea surface height variability and change from satellite
radar altimetry and GRACE, 2003–2014},
author = {Thomas W K Armitage and Sheldon Bacon and Andy L Ridout and Sam F Thomas and Yevgeny Aksenov and Duncan J Wingham},
year = {2016},
date = {2016-06-01},
journal = {J. Geophys. Res. Oceans},
volume = {121},
number = {6},
pages = {4303–4322},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractArctic sea surface height (SSH) is poorly observed by
radar altimeters due to the poor coverage of the polar oceans
provided by conventional altimeter missions and because large
areas are perpetually covered by sea ice, requiring specialized
data processing. We utilize SSH estimates from both the
ice‐covered and ice‐free ocean to present monthly estimates of
Arctic Dynamic Ocean Topography (DOT) from radar altimetry south
of 81.5°N and combine this with GRACE ocean mass to estimate
steric height. Our SSH and steric height estimates show good
agreement with tide gauge records and geopotential height
derived from Ice‐Tethered Profilers. The large seasonal cycle of
Arctic SSH (amplitude ∼5 cm) is dominated by seasonal steric
height variation associated with seasonal freshwater fluxes, and
peaks in October–November. Overall, the annual mean steric
height increased by 2.2 $±$ 1.4 cm between 2003 and 2012
before falling to circa 2003 levels between 2012 and 2014 due to
large reductions on the Siberian shelf seas. The total secular
change in SSH between 2003 and 2014 is then dominated by a 2.1
$±$ 0.7 cm increase in ocean mass. We estimate that by 2010,
the Beaufort Gyre had accumulated 4600 km3 of freshwater
relative to the 2003–2006 mean. Doming of Arctic DOT in the
Beaufort Sea is revealed by Empirical Orthogonal Function
analysis to be concurrent with regional reductions in the
Siberian Arctic. We estimate that the Siberian shelf seas lost
∼180 km3 of freshwater between 2003 and 2014, associated with an
increase in annual mean salinity of 0.15 psu yr−1. Finally,
ocean storage flux estimates from altimetry agree well with
high‐resolution model results, demonstrating the potential for
altimetry to elucidate the Arctic hydrological cycle.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
radar altimeters due to the poor coverage of the polar oceans
provided by conventional altimeter missions and because large
areas are perpetually covered by sea ice, requiring specialized
data processing. We utilize SSH estimates from both the
ice‐covered and ice‐free ocean to present monthly estimates of
Arctic Dynamic Ocean Topography (DOT) from radar altimetry south
of 81.5°N and combine this with GRACE ocean mass to estimate
steric height. Our SSH and steric height estimates show good
agreement with tide gauge records and geopotential height
derived from Ice‐Tethered Profilers. The large seasonal cycle of
Arctic SSH (amplitude ∼5 cm) is dominated by seasonal steric
height variation associated with seasonal freshwater fluxes, and
peaks in October–November. Overall, the annual mean steric
height increased by 2.2 $±$ 1.4 cm between 2003 and 2012
before falling to circa 2003 levels between 2012 and 2014 due to
large reductions on the Siberian shelf seas. The total secular
change in SSH between 2003 and 2014 is then dominated by a 2.1
$±$ 0.7 cm increase in ocean mass. We estimate that by 2010,
the Beaufort Gyre had accumulated 4600 km3 of freshwater
relative to the 2003–2006 mean. Doming of Arctic DOT in the
Beaufort Sea is revealed by Empirical Orthogonal Function
analysis to be concurrent with regional reductions in the
Siberian Arctic. We estimate that the Siberian shelf seas lost
∼180 km3 of freshwater between 2003 and 2014, associated with an
increase in annual mean salinity of 0.15 psu yr−1. Finally,
ocean storage flux estimates from altimetry agree well with
high‐resolution model results, demonstrating the potential for
altimetry to elucidate the Arctic hydrological cycle.
Mortin, Jonas; Svensson, Gunilla; Graversen, Rune G; Kapsch, Marie-Luise; Stroeve, Julienne C; Boisvert, Linette N
Melt onset over Arctic sea ice controlled by atmospheric moisture transport Journal Article
In: Geophys. Res. Lett., vol. 43, no. 12, pp. 6636–6642, 2016.
@article{Mortin2016-ze,
title = {Melt onset over Arctic sea ice controlled by atmospheric
moisture transport},
author = {Jonas Mortin and Gunilla Svensson and Rune G Graversen and Marie-Luise Kapsch and Julienne C Stroeve and Linette N Boisvert},
year = {2016},
date = {2016-06-01},
journal = {Geophys. Res. Lett.},
volume = {43},
number = {12},
pages = {6636–6642},
publisher = {American Geophysical Union (AGU)},
abstract = {AbstractThe timing of melt onset affects the surface energy
uptake throughout the melt season. Yet the processes triggering
melt and causing its large interannual variability are not well
understood. Here we show that melt onset over Arctic sea ice is
initiated by positive anomalies of water vapor, clouds, and air
temperatures that increase the downwelling longwave radiation
(LWD) to the surface. The earlier melt onset occurs; the
stronger are these anomalies. Downwelling shortwave radiation
(SWD) is smaller than usual at melt onset, indicating that melt
is not triggered by SWD. When melt occurs early, an anomalously
opaque atmosphere with positive LWD anomalies preconditions the
surface for weeks preceding melt. In contrast, when melt begins
late, clearer than usual conditions are evident prior to melt.
Hence, atmospheric processes are imperative for melt onset. It
is also found that spring LWD increased during recent decades,
consistent with trends toward an earlier melt onset.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
uptake throughout the melt season. Yet the processes triggering
melt and causing its large interannual variability are not well
understood. Here we show that melt onset over Arctic sea ice is
initiated by positive anomalies of water vapor, clouds, and air
temperatures that increase the downwelling longwave radiation
(LWD) to the surface. The earlier melt onset occurs; the
stronger are these anomalies. Downwelling shortwave radiation
(SWD) is smaller than usual at melt onset, indicating that melt
is not triggered by SWD. When melt occurs early, an anomalously
opaque atmosphere with positive LWD anomalies preconditions the
surface for weeks preceding melt. In contrast, when melt begins
late, clearer than usual conditions are evident prior to melt.
Hence, atmospheric processes are imperative for melt onset. It
is also found that spring LWD increased during recent decades,
consistent with trends toward an earlier melt onset.