2009
DOI: 10.1007/s10236-009-0230-5
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Modification of water masses in the Barents Sea and its coupling to ice dynamics: a model study

Abstract: The physical and biological environment of the Barents Sea is characterised by large variability on a wide range of scales. Results from a numerical ocean model, SINMOD, are presented showing that the physical variability is partly forced by changes in annual net ice import. The mean contribution from ice import in the simulation period is about 40% of the total amount of ice melted each year. The annual ice import into the Barents Sea varies between 143 and 1,236 km 3 , and this causes a substantial variabil… Show more

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Cited by 42 publications
(44 citation statements)
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“…The CDW variability on Great Bank is thus more affected by ice import from the north than regional climate indicators. Ice import and the associated freshwater input have been found by earlier studies to have a large influence on salinity anomalies in the Barents Sea (Maus, 2003;Ellingsen et al, 2009), and to contribute to the stronger stratification in the northern Barents Sea which is important to water mass transformations (Steele et al, 1995;Harms, 1997). The most dominant signal in the the initial salinity on Great Bank is the long term increase over almost the entire simulation period (Fig.…”
mentioning
confidence: 75%
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“…The CDW variability on Great Bank is thus more affected by ice import from the north than regional climate indicators. Ice import and the associated freshwater input have been found by earlier studies to have a large influence on salinity anomalies in the Barents Sea (Maus, 2003;Ellingsen et al, 2009), and to contribute to the stronger stratification in the northern Barents Sea which is important to water mass transformations (Steele et al, 1995;Harms, 1997). The most dominant signal in the the initial salinity on Great Bank is the long term increase over almost the entire simulation period (Fig.…”
mentioning
confidence: 75%
“…Midttun, 1985;Rudels and Friedrich, 2000;Schauer et al, 2002), and potential sources of variability in dense water characteristics have been identified (e.g. Rudels, 1987;Cavalieri and Martin, 1994;Schauer, 1995;Harms, 1997;Backhaus et al, 1997;Schauer et al, 2002;Ellingsen et al, 2009). The surface salinity before the freezing season has been found to be important, but the factors controlling the salinity depend on the region being investigated.…”
Section: Introductionmentioning
confidence: 99%
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“…9b and c). Such biases are not unusual for models and the causes of these flaws are numerous (see for example Sundfjord et al, 2007or Ellingsen et al, 2009. Despite these imperfections, the model correctly reproduces the observed BS seasonal cycle (not shown) and succeeds in capturing the interannual variability.…”
Section: Water Mass Variability From Model Studymentioning
confidence: 88%
“…The reduced SIE indicates more open water and therefore the possibility for more brine release and increasing salinity due to more intensive formation of new sea ice. In periods when wind exports large amounts of ice out of the Barents Sea, the salinity of the water increases, and vice versa (Ellingsen et al 2009). The 5-yr lag corresponds to an ;5-yr transit time for the Atlantic-origin water between the Barents and Laptev Seas on the basis of tracer analysis (Frank et al 1998;Smith et al 2011).…”
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confidence: 99%