scholarly journals Vertical flux of phytoplankton and particulate biogenic matter in the marginal ice zone of the Barents Sea in May 1993

1998 ◽  
Vol 170 ◽  
pp. 1-14 ◽  
Author(s):  
IJ Andreassen ◽  
P Wassmann
Keyword(s):  
Barents Sea ◽  
Vertical Flux ◽  
The Barents Sea ◽  
Marginal Ice Zone

Modelling the ecosystem dynamics of the Barents Sea including the marginal ice zone

2006 ◽  
Vol 59 (1-2) ◽  
pp. 1-24 ◽  
Author(s):  
Paul Wassmann ◽  
Dag Slagstad ◽  
Christian Wexels Riser ◽  
Marit Reigstad
Keyword(s):  
Barents Sea ◽  
Ecosystem Dynamics ◽  
The Barents Sea ◽  
Marginal Ice Zone

Dividing mesozooplankton into upper and lower size groups: Applications to the grazing impact in the Marginal Ice Zone of the Barents Sea

2008 ◽  
Vol 55 (20-21) ◽  
pp. 2245-2256 ◽  
Author(s):  
Anna Pasternak ◽  
Elena Arashkevich ◽  
Marit Reigstad ◽  
Paul Wassmann ◽  
Stig Falk-Petersen
Keyword(s):  
Barents Sea ◽  
Grazing Impact ◽  
The Barents Sea ◽  
Marginal Ice Zone ◽  
Size Groups ◽  
Lower Size

scholarly journals Observations of surface momentum exchange over the marginal-ice-zone and recommendations for its parameterization

2015 ◽  
Vol 15 (19) ◽  
pp. 26609-26660 ◽  
Author(s):  
A. D. Elvidge ◽  
I. A. Renfrew ◽  
A. I. Weiss ◽  
I. M. Brooks ◽  
T. A. Lachlan-Cope ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Barents Sea ◽  
The Arctic ◽  
Momentum Exchange ◽  
The Barents Sea ◽  
Aircraft Observations ◽  
Marginal Ice Zone ◽  
Ice Conditions ◽  
Ice Fraction

Abstract. Comprehensive aircraft observations are used to characterise surface roughness over the Arctic marginal ice zone (MIZ) and consequently make recommendations for the parameterization of surface momentum exchange in the MIZ. These observations were gathered in the Barents Sea and Fram Strait from two aircraft as part of the Aerosol–Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) project. They represent a doubling of the total number of such aircraft observations currently available over the Arctic MIZ. The eddy covariance method is used to derive estimates of the 10 m neutral drag coefficient (CDN10) from turbulent wind velocity measurements, and a novel method using albedo and surface temperature is employed to derive ice fraction. Peak surface roughness is found at ice fractions in the range 0.6 to 0.8 (with a mean interquartile range in CDN10 of 1.25 to 2.85 × 10−3). CDN10 as a function of ice fraction is found to be well approximated by the negatively skewed distribution provided by a leading parameterization scheme (Lüpkes et al., 2012) tailored for sea ice drag over the MIZ in which the two constituent components of drag – skin and form drag – are separately quantified. Current parameterization schemes used in the weather and climate models are compared with our results and the majority are found to be physically unjustified and unrepresentative. The Lüpkes et al. (2012) scheme is recommended in a computationally simple form, with adjusted parameter settings. A good agreement is found to hold for subsets of the data from different locations despite differences in sea ice conditions. Ice conditions in the Barents Sea, characterised by small, unconsolidated ice floes, are found to be associated with higher CDN10 values – especially at the higher ice fractions – than those of Fram Strait, where typically larger, smoother floes are observed. Consequently, the important influence of sea ice morphology and floe size on surface roughness is recognised, and improvement in the representation of this in parameterization schemes is suggested for future study.

scholarly journals Marine Birds in the Marginal Ice Zone of the Barents Sea in Late Winter and Spring

ARCTIC ◽  
1996 ◽  
Vol 49 (1) ◽  
Author(s):  
George L. Hunt ◽  
Vidar Bakken ◽  
Fridtjof Mehlum
Keyword(s):  
Barents Sea ◽  
Late Winter ◽  
Marine Birds ◽  
The Barents Sea ◽  
Marginal Ice Zone

Pelagic and sympagic contribution of organic matter to zooplankton and vertical export in the Barents Sea marginal ice zone

2008 ◽  
Vol 55 (20-21) ◽  
pp. 2330-2339 ◽  
Author(s):  
Tobias Tamelander ◽  
Marit Reigstad ◽  
Haakon Hop ◽  
Michael L. Carroll ◽  
Paul Wassmann
Keyword(s):  
Organic Matter ◽  
Barents Sea ◽  
The Barents Sea ◽  
Marginal Ice Zone ◽  
Vertical Export

scholarly journals Observations of surface momentum exchange over the marginal ice zone and recommendations for its parametrisation

2016 ◽  
Vol 16 (3) ◽  
pp. 1545-1563 ◽  
Author(s):  
A. D. Elvidge ◽  
I. A. Renfrew ◽  
A. I. Weiss ◽  
I. M. Brooks ◽  
T. A. Lachlan-Cope ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Barents Sea ◽  
The Arctic ◽  
Momentum Exchange ◽  
The Barents Sea ◽  
Aircraft Observations ◽  
Marginal Ice Zone ◽  
Ice Conditions ◽  
Ice Fraction

Abstract. Comprehensive aircraft observations are used to characterise surface roughness over the Arctic marginal ice zone (MIZ) and consequently make recommendations for the parametrisation of surface momentum exchange in the MIZ. These observations were gathered in the Barents Sea and Fram Strait from two aircraft as part of the Aerosol–Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) project. They represent a doubling of the total number of such aircraft observations currently available over the Arctic MIZ. The eddy covariance method is used to derive estimates of the 10 m neutral drag coefficient (CDN10) from turbulent wind velocity measurements, and a novel method using albedo and surface temperature is employed to derive ice fraction. Peak surface roughness is found at ice fractions in the range 0.6 to 0.8 (with a mean interquartile range in CDN10 of 1.25 to 2.85  ×  10−3). CDN10 as a function of ice fraction is found to be well approximated by the negatively skewed distribution provided by a leading parametrisation scheme (Lüpkes et al., 2012) tailored for sea-ice drag over the MIZ in which the two constituent components of drag – skin and form drag – are separately quantified. Current parametrisation schemes used in the weather and climate models are compared with our results and the majority are found to be physically unjustified and unrepresentative. The Lüpkes et al. (2012) scheme is recommended in a computationally simple form, with adjusted parameter settings. A good agreement holds for subsets of the data from different locations, despite differences in sea-ice conditions. Ice conditions in the Barents Sea, characterised by small, unconsolidated ice floes, are found to be associated with higher CDN10 values – especially at the higher ice fractions – than those of Fram Strait, where typically larger, smoother floes are observed. Consequently, the important influence of sea-ice morphology and floe size on surface roughness is recognised, and improvement in the representation of this in parametrisation schemes is suggested for future study.

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