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Next: Analysis of Data Up: Nonlinear Thermal Transport and Previous: Introduction

Experimental Data

In order to determine the thermal conductivity of first-year sea ice experimentally, measurements of temperature were performed every hour for five months using an array of thermistors. These were placed in a 25mm diameter hole on 12 June 1996, in fast sea ice about 1km offshore to the west of Arrival Heights in McMurdo Sound. The ice in the study area was quite flat, with almost no snow accumulation during the study. It was first year sea ice, grown from open sea, and it was fast to the land throughout the time that measurements were made.

The array consisted of twenty thermistors 100  tex2html_wrap_inline154  2mm apart, inside a 6mm diameter stainless steel tube, with a 0.15mm thick wall. The tube was filled with a vegetable oil, which became a viscous grease below 0 tex2html_wrap_inline156 C, to eliminate convection within the tube. Heat conduction along the array was estimated to be equivalent to an ice plug with a diameter of no more than 8mm. Conductive corrections associated with the array are of the order of the square of the ratio of the radius (4mm) to the wavelength of the thermal waves (>400mm), negligible at the 3% uncertainty level achieved in the experiment.

The thermistors were Omega 44031 devices, calibrated to within tex2html_wrap_inline160 C, with interchangeability 0.1 tex2html_wrap_inline156 C and resolution tex2html_wrap_inline160 C. Resistance values were automatically recorded to a similar accuracy. At each hour, an average of three resistance measurements taken within a short time of each other is actually recorded. A close look at the data and at first differences in time, suggests that the truncation to tex2html_wrap_inline160 C used in recording the temperatures dominates any random fluctuations.

The temperature data obtained from the array is plotted in Fig. 1, as temperature versus time at various depths. Each line represents the temperature measured by a thermistor, with the thermistors placed 100mm apart. The sea temperature is -1.8 tex2html_wrap_inline156 C, with colder temperatures nearer the surface. Data from the upper five thermistors is plotted separately for clarity.

It is clear from the data that the ice was about 700mm thick when the array was deployed, and thereafter grew to reach the twentieth (deepest) thermistor at 1900mm on day 120 (10 October). Note that day one is 12 June 1996. Both rising and falling temperatures are present, and the thermal conductivity may be determined directly by using the heat conduction equation

equation17

where k is the thermal conductivity of the sea ice, U is the total specific internal energy, tex2html_wrap_inline172 the sea ice density (here taken to be 910 kg/m tex2html_wrap_inline174 ), and T is the temperature at depth z and time t. The internal energy is given by integrating the effective heat capacity C (Schwerdtfeger 1963; Ono, 1966; Yen, 1981), to give

equation23

where U is in J g tex2html_wrap_inline186 , S is the average salinity of the sea ice in parts per thousand ( tex2html_wrap_inline190 ), and tex2html_wrap_inline192 is temperature in tex2html_wrap_inline156 C. This expression allows for the effect of latent heat as brine pockets change volume to maintain thermodynamic equilibrium between temperature and brine concentration.

Salinity measurements have been made from ice cores taken from the area studied, at the time of the experiment and at various times over the past ten years in the McMurdo Sound area. Average salinities fall in the range 5 tex2html_wrap_inline190 to 6 tex2html_wrap_inline190 (except in the top 200mm of ice), so a value of 5.5 tex2html_wrap_inline190 was used to convert from temperature to internal energy in the following. The fitted unbiased value of thermal conductivity increased, by amounts varying from 2% near the top of the ice to 9% near the bottom of the ice, when a salinity of 6.5 tex2html_wrap_inline190 was used as a check on sensitivity.

The nonlinearity in C leads to a strong temperature dependence in the thermal diffusivity tex2html_wrap_inline206 , and prevents using the more usual Fourier transform method for finding k. It also prevents the substitution tex2html_wrap_inline210 since this requires C to be independent of T. The emphasis is shifted then, from finding the diffusivity to finding the thermal conductivity.


next up previous
Next: Analysis of Data Up: Nonlinear Thermal Transport and Previous: Introduction

Mark McGuinness
Tue Apr 11 17:10:31 NZST 2000