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Explore the seasonal variations in Storfjorden polynya opening and closing mechanisms and their impact on Arctic Ocean dense water formation. The study investigates the role of wind stress curl field in influencing polynya dynamics.
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Opening and closing of the Storfjorden polynya Frank Nilsen1,2, Ragnheid Skogseth1, Katja Weigel1 1.The University Centre in Svalbard (UNIS), Longyearbyen, Norway 2.Geophysical Institute, University of Bergen, Bergen, Norway
Coastal Polynya Storfjorden is estimated to supply 5-10% of the newly formed dense waters of the Arctic Ocean Skogseth (2003), PhD thesis
Storfjorden • Is approximately 190 km long and 190 m deep at its maximum depth. • A 120 m deep sill at about 77°N in the south. • The basin covers an area of about 13·103 km2 with a volume of 8.5·1011 m3. Skogseth et al. (2005), CSR
Storfjorden Polynya Skogseth (2003), PhD thesis
Maximum Salinity observed in the deepest part of Storfjorden Skogseth & Fer (2005), AGU Anderson et al. (2004), JGR
Polynya Area and SAR • We utilize the polynya width model formulated by Haarpaintner et al. (2001) and Skogseth et al. (2004). • The model calculates the area of open water and thin ice defined as the polynya area, and the area of fast and pack ice. • The model consist of two algorithms: polynya width algorithm and an open water width algorithm. • The polynya width algorithm needs two empirical factors as input: the opening (OF) and closing (CF) factors.
Wind Stress Curl field (DJFM, 1970-2004) From the Hindcast data base (met.no) with a 75 km resolution
Mechanical and thermodynamical sea ice growth 1+ O(1) + O(0) = OF 1- O(1) + O(10) = CF
Winters with low Iw More positive curl Divergence
Winters with high Iw More negative curl Convergence
Conclusions • Physical explanations for the empirical OF and CF are found. • CF is dominated by thermodynamical ice growth through consolidation of frazil ice, but mechanical ice growth determine the interannual variations. • OF’s deviations from the free drift solution is determined by divergence and convergence in the compact ice cover outside Storfjorden. • Annual variations in OF and CF are directly linked to the wind stress curl field and an empirical relations is found from the hindcast data base (met.no) time series. • The polynya model gives a more realistic sea ice production when the model is run with time varying OF and CF.
The Barents Sea Ice Index Iw The integrated winter ice covered area south of 76ºN in a zone between 25ºE and 45ºE. Ådlandsvik & Loeng (1990), Polar Res.