Formation of pancake ice in a wave field Hayley Shen, Stephen Ackley Clarkson University and Mark Hopkins USACRREL NSF/McMurdo Ground Station Science Workshop, Columbus OH, March 9-11, 2004 NSF OPP
Pancake size Rafting thickness Early ice cover development Heat transfer between air/ice
Result #1 Pancake Size
How to determine limit size? Bending failure mode: Tensile failure mode: Shen, Ackley, Hopkins 2001
95% confidence interval
CRREL-2001winter, summer, 2003 summer
95% confidence interval Example: 100m wave of 5m amplitude yields 0.9m diameter pancakes.
HSVA-2002winter Pancake ice formation However….
Result #2 Equilibrium Ice Thickness from Wave Rafting
Non-dimensional result Dai, Shen, Ackley 2004
Wave Tank Experiment Results
Computer Simulation
Computer Simulation (no friction)
Computer Simulation (friction)
Result #3 Early Ice Cover Establishment due to Wave Rafting
Some old models results Hibler and Ackley 1983
Geiger 1997
Effects of h0 on Ice Cover Development (Earlier Appearance) Dai, Shen, Ackley 2004, in preparation
Effects of Initial Ice Thickness on Ice Cover Development
Result #4 Air/Ice Heat Transfer in a Wave Field
Problem Definition W H Ice Water Air
Experiments
Results Calm water cases Wave cases The standard deviation for wave cases is high, suggesting that heat transfer coefficient may depend on wave parameters Enhanced turbulence, increased surface area, and a thin boundary layer above water/ice may be the reasons Dai, Shen, Ackley, 2004, in preparation
Pancake ice size can be predicted from waves Rafting thickness can also be predicted Rafting thickness is important in early ice cover development Waves may greatly increase the thermodynamic growth of ice Waves may not always result in pancakes, the critical condition has not been identified We have found:
Next Steps Heat transfer between air/ice in a wave field The critical condition for pancake formation Incorporating Wave Effects into short and long term climate models
We need….. Accurate weather data Accurate hydrographical data
Why?
Temperature of Dec. 30, Left panel is from NCEP real-time data, right from NCEP/NCAR Reanalysis data (Wang, Shen, and Shen, Okhotsk Sea Conference, 2000)
Temperature difference between NCEP real-time and reanalysis data for winter.
Ice concentration. Date: March 5, Input data: NCEP real-time. Ice concentration. Date: March 5, Input data: NCEP Reanalysis.
Observed buoy trajectories and simulated ice floe trajectories in the winter of
A lot of work to be done! Collaborations!