scholarly journals Pan-Arctic simulation of coupled nutrient-sulfur cycling due to sea ice biology: Preliminary results

Author(s):  
S. Elliott ◽  
C. Deal ◽  
G. Humphries ◽  
E. Hunke ◽  
N. Jeffery ◽  
...  
1989 ◽  
Vol 111 (3) ◽  
pp. 258-263 ◽  
Author(s):  
P. R. Sammonds ◽  
S. A. F. Murrell ◽  
M. A. Rist

The forces that arctic sea ice can exert on offshore structures are strongly influenced by ice fracture. Fracture of multi-year sea ice has been studied in the laboratory under triaxial compression using a new triaxial mechanical testing cell for ice. A description of this apparatus is given, which enables the confined brittle behavior of ice to be investigated at temperatures down to −90°C and at strain rates up to 10−2/s under closed-loop constant displacement rate control. Preliminary results for the fracture of multi-year sea ice under confined conditions at −10°C are presented.


1990 ◽  
Vol 18 (3) ◽  
pp. 337-342 ◽  
Author(s):  
P.J. Langhorne ◽  
W.H. Robinson ◽  
V.A. Squire

1987 ◽  
Vol 33 (114) ◽  
pp. 243-245
Author(s):  
James D. Lyden ◽  
Robert A. Shuchman

AbstractA new technique has been developed to estimate digitally the concentration and structure of open-water leads (polynyas) in synthetic aperture radar (SAR) sea-ice data. This procedure consists of smoothing the original SAR sea-ice data to reduce speckle effects, level slicing this smoothed image to produce a binary image consisting of ice and open water, generating the autocorrelation function of this image, and interpreting the autocorrelation function for lead information. Preliminary results indicate that this technique yields useful estimates of lead characteristics, but that additional research is required to evaluate fully its performance.


2020 ◽  
Author(s):  
Shihe Ren ◽  
Xi Liang ◽  
Qizhen Sun ◽  
Hao Yu ◽  
L. Bruno Tremblay ◽  
...  

Abstract. The implementation of a new Arctic regional coupled sea ice-ocean-atmosphere model (ArcIOAM) and its preliminary results in the year of 2012 are presented in this paper. A newly developed coupler, C-Coupler2 (the Community Coupler 2), is used to couple the Arctic sea ice-oceanic configuration of the MITgcm (Massachusetts Institute of Technology general circulation model) with the Arctic atmospheric configuration of the Polar WRF (Weather Research and Forecasting) model. ArcIOAM is demonstrated with focus on seasonal simulation of the Arctic sea ice and ocean state in the year of 2012. The results obtained by ArcIOAM, along with the experiment of one-way coupling strategy, are compared with available observational data and reanalysis products. From the comparison, results obtained from two experiments both realistically capture the sea ice and oceanic variables in the Arctic region over a 1-year simulation period. The two-way coupled model has better performance in terms of sea ice extent, concentration, thickness and SST, especially in summer. This indicates that sea ice-ocean-atmosphere interaction takes a crucial role in controlling Arctic summertime sea ice distribution. The coupled model and documentation are available at  https://doi.org/10.5281/zenodo.3742692 (last access: 9 June 2020), and the source code is maintained at  https://github.com/cdmpbp123/Coupled_Atm_Ice_Oce (last access: 7 April 2020).


1996 ◽  
Vol 24 (2) ◽  
pp. 167-176 ◽  
Author(s):  
T.G. Haskell ◽  
W.H. Robinson ◽  
P.J. Langhorne

1987 ◽  
Vol 33 (114) ◽  
pp. 243-245
Author(s):  
James D. Lyden ◽  
Robert A. Shuchman

Abstract A new technique has been developed to estimate digitally the concentration and structure of open-water leads (polynyas) in synthetic aperture radar (SAR) sea-ice data. This procedure consists of smoothing the original SAR sea-ice data to reduce speckle effects, level slicing this smoothed image to produce a binary image consisting of ice and open water, generating the autocorrelation function of this image, and interpreting the autocorrelation function for lead information. Preliminary results indicate that this technique yields useful estimates of lead characteristics, but that additional research is required to evaluate fully its performance.


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