Varying response of vegetation to sea ice dynamics over the Arctic

AbstractIodine has a significant impact on promoting the formation of new ultrafine aerosol particles and accelerating tropospheric ozone loss, thereby affecting radiative forcing and climate. Therefore, understanding the long-term natural evolution of iodine, and its coupling with climate variability, is key to adequately assess its effect on climate on centennial to millennial timescales. Here, using two Greenland ice cores (NEEM and RECAP), we report the Arctic iodine variability during the last 127,000 years. We find the highest and lowest iodine levels recorded during interglacial and glacial periods, respectively, modulated by ocean bioproductivity and sea ice dynamics. Our sub-decadal resolution measurements reveal that high frequency iodine emission variability occurred in pace with Dansgaard/Oeschger events, highlighting the rapid Arctic ocean-ice-atmosphere iodine exchange response to abrupt climate changes. Finally, we discuss if iodine levels during past warmer-than-present climate phases can serve as analogues of future scenarios under an expected ice-free Arctic Ocean. We argue that the combination of natural biogenic ocean iodine release (boosted by ongoing Arctic warming and sea ice retreat) and anthropogenic ozone-induced iodine emissions may lead to a near future scenario with the highest iodine levels of the last 127,000 years.

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The impact of sea-ice dynamics on the Arctic climate system

Climate Dynamics ◽

10.1007/s00382-003-0309-5 ◽

2003 ◽

Vol 20 (7-8) ◽

pp. 741-757 ◽

Cited By ~ 38

Author(s):

S. Vavrus ◽

S. P. Harrison

Keyword(s):

Sea Ice ◽

Climate System ◽

Arctic Climate ◽

The Arctic ◽

Ice Dynamics ◽

Sea Ice Dynamics ◽

The Impact

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The Interplay of Recent Vegetation and Sea Ice Dynamics—Results From a Regional Earth System Model Over the Arctic

Geophysical Research Letters ◽

10.1029/2019gl085982 ◽

2020 ◽

Vol 47 (6) ◽

Cited By ~ 2

Author(s):

W. Zhang ◽

R. Döscher ◽

T. Koenigk ◽

P.A. Miller ◽

C. Jansson ◽

...

Keyword(s):

Sea Ice ◽

Earth System Model ◽

System Model ◽

The Arctic ◽

Earth System ◽

Ice Dynamics ◽

Sea Ice Dynamics

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Variable Freshwater Input to the Arctic Ocean During the Holocene: Implications for Large-Scale Ocean-Sea Ice Dynamics as Simulated by a Circulation Model

The Climate in Historical Times - GKSS School of Environmental Research ◽

10.1007/978-3-662-10313-5_18 ◽

2004 ◽

pp. 319-335 ◽

Cited By ~ 4

Author(s):

Matthias Prange ◽

Gerrit Lohmann

Keyword(s):

Sea Ice ◽

Arctic Ocean ◽

Large Scale ◽

Circulation Model ◽

The Arctic ◽

Freshwater Input ◽

Ice Dynamics ◽

The Holocene ◽

Sea Ice Dynamics ◽

The Arctic Ocean

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Impact of wave-induced sea ice fragmentation on sea ice dynamics in the MIZ

10.5194/egusphere-egu2020-8657 ◽

2020 ◽

Author(s):

Guillaume Boutin ◽

Timothy Williams ◽

Pierre Rampal ◽

Einar Olason ◽

Camille Lique

Keyword(s):

Sea Ice ◽

Barents Sea ◽

Ice Cover ◽

Arctic Sea Ice ◽

The Arctic ◽

Sea Ice Extent ◽

Ice Dynamics ◽

Sea Ice Dynamics ◽

Wave Induced ◽

The Impact

<p>The decrease in Arctic sea ice extent is associated with an increase of the area where sea ice and open ocean interact, commonly referred to as the Marginal Ice Zone (MIZ). In this area, sea ice is particularly exposed to waves that can penetrate over tens to hundreds of kilometres into the ice cover. Waves are known to play a major role in the fragmentation of sea ice in the MIZ, and the interactions between wave-induced sea ice fragmentation and lateral melting have received particular attention in recent years. The impact of this fragmentation on sea ice dynamics, however, remains mostly unknown, although it is thought that fragmented sea ice experiences less resistance to deformation than pack ice. In this presentation, we will introduce a new coupled framework involving the spectral wave model WAVEWATCH III and the sea ice model neXtSIM, which includes a Maxwell-Elasto Brittle rheology. We use this coupled modelling system to investigate the potential impact of wave-induced sea ice fragmentation on sea ice dynamics. Focusing on the Barents Sea, we find that the decrease of the internal stress of sea ice resulting from its fragmentation by waves results in a more dynamical MIZ, in particular in areas where sea ice is compact. Sea ice drift is enhanced for both on-ice and off-ice wind conditions. Our results stress the importance of considering wave&#8211;sea-ice interactions for forecast applications. They also suggest that waves likely modulate the area of sea ice that is advected away from the pack by ocean (sub-)mesoscale eddies near the ice edge, potentially contributing to the observed past, current and future sea ice cover decline in the Arctic.&#160;</p>

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Wave–sea-ice interactions in a brittle rheological framework

10.5194/tc-2020-19 ◽

2020 ◽

Author(s):

Guillaume Boutin ◽

Timothy Williams ◽

Pierre Rampal ◽

Einar Olason ◽

Camille Lique

Keyword(s):

Sea Ice ◽

Barents Sea ◽

Ice Cover ◽

Arctic Sea Ice ◽

The Arctic ◽

Sea Ice Extent ◽

Ice Dynamics ◽

Sea Ice Dynamics ◽

Wave Induced ◽

The Impact

Abstract. The decrease in Arctic sea ice extent is associated with an increase of the area where sea ice and open ocean interact, commonly referred to as the Marginal Ice Zone (MIZ). In this area, sea ice is particularly exposed to waves that can penetrate over tens to hundreds of kilometres into the ice cover. Waves are known to play a major role in the fragmentation of sea ice in the MIZ, and the interactions between wave-induced sea ice fragmentation and lateral melting have received particular attention in recent years. The impact of this fragmentation on sea ice dynamics, however, remains mostly unknown, although it is thought that fragmented sea ice experiences less resistance to deformation than pack ice. Here, we introduce a new coupled framework involving the spectral wave model WAVEWATCH III and the sea ice model neXtSIM, which includes a Maxwell-Elasto Brittle rheology. We use this coupled modelling system to investigate the potential impact of wave-induced sea ice fragmentation on sea ice dynamics. Focusing on the Barents Sea, we find that the decrease of the internal stress of sea ice resulting from its fragmentation by waves results in a more dynamical MIZ, in particular in areas where sea ice is compact. Sea ice drift is enhanced for both on-ice and off-ice wind conditions. Our results stress the importance of considering wave–sea-ice interactions for forecast applications. They also suggest that waves likely modulate the area of sea ice that is advected away from the pack by ocean (sub-)mesoscale eddies near the ice edge, potentially contributing to the observed past, current and future sea ice cover decline in the Arctic.

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A Driftwood‐Based Record of Arctic Sea Ice During the Last 500 Years From Northern Svalbard Reveals Sea Ice Dynamics in the Arctic Ocean and Arctic Peripheral Seas

Journal of Geophysical Research Oceans ◽

10.1029/2021jc017563 ◽

2021 ◽

Vol 126 (10) ◽

Author(s):

Georgia M. Hole ◽

Thomas Rawson ◽

Wesley R. Farnsworth ◽

Anders Schomacker ◽

Ólafur Ingólfsson ◽

...

Keyword(s):

Sea Ice ◽

Arctic Ocean ◽

Arctic Sea Ice ◽

The Arctic ◽

Ice Dynamics ◽

Sea Ice Dynamics ◽

Arctic Sea ◽

The Arctic Ocean

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High-resolution airborne observations of sea-ice pressure ridge sail height

Annals of Glaciology ◽

10.1017/aog.2018.2 ◽

2018 ◽

Vol 59 (76pt2) ◽

pp. 137-147 ◽

Cited By ~ 4

Author(s):

K. Duncan ◽

S. L. Farrell ◽

L. N. Connor ◽

J. Richter-Menge ◽

J. K. Hutchings ◽

...

Keyword(s):

High Resolution ◽

Sea Ice ◽

The Arctic ◽

Height Distribution ◽

Ice Dynamics ◽

Sea Ice Dynamics ◽

Pressure Ridge ◽

High Resolution Models ◽

Energy And Momentum ◽

Ice Pressure

ABSTRACTPressure ridges impact the mass, energy and momentum budgets of the sea-ice cover and present an obstacle to transportation through ice-infested waters. Quantifying ridge characteristics is important for understanding total sea-ice mass and for improving the representation of sea-ice dynamics in high-resolution models. Multi-sensor measurements collected during annual Operation IceBridge (OIB) airborne surveys of the Arctic provide new opportunities to assess the sea ice at the end of winter. We present a new methodology to derive ridge sail height from high-resolution OIB Digital Mapping System (DMS) visible imagery. We assess the efficacy of the methodology by mapping the full sail height distribution along 12 pressure ridges in the western and central Arctic. Comparisons against coincident Airborne Topographic Mapper (ATM) elevation anomalies are used to demonstrate the methodology and evaluate DMS-derived sail heights. Sail heights and elevation anomalies were correlated at 0.81 or above. On average mean and maximum sail height agreed with ATM elevation to within 0.11 and 0.49 m, respectively. Of the ridges mapped, mean sail height ranged from 0.99 to 2.16 m, while maximum sail height ranged from 2.1 to 4.8 m. DMS also delivered higher sampling along ridge crests than coincident ATM data.

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On sea-ice dynamical regimes in the Arctic Ocean

Annals of Glaciology ◽

10.3189/2015aog69a606 ◽

2015 ◽

Vol 56 (69) ◽

pp. 323-331 ◽

Cited By ~ 4

Author(s):

J.V. Lukovich ◽

J.K. Hutchings ◽

D.G. Barber

Keyword(s):

Sea Ice ◽

Scaling Laws ◽

High Arctic ◽

The Arctic ◽

Ice Dynamics ◽

Scaling Properties ◽

Sea Ice Dynamics ◽

Ice Drift ◽

Dynamical Regimes ◽

Sea Ice Drift

AbstractCentral to an understanding of evolution in sea-ice characteristics in response to climate change is an understanding of sea-ice dynamics. In this study, we investigate regional differences in ice dynamics in the Beaufort Sea and High Arctic using high-frequency ice buoy (beacon) data deployed during the SEDNA and IPY-CFL field campaigns from spring 2007 to winter 2008. Examined in particular are scaling laws determined from absolute dispersion statistics. We create temporal scaling maps to determine whether distinct dynamical regimes can be identified with differing scaling properties. The results from this analysis provide an alternative characterization to changes in sea ice based on dynamics rather than concentration and thickness, and thus insight into, and improved understanding of, the connections between sea-ice drift and morphology.

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