#depth (meters) density (Mg/m^3) #----- --------- 0 0.34 5 0.42 10 0.49 20 0.55 40 0.63 60 0.68 80 0.74 100 0.79 120 0.845 140 0.89 160 0.90 180 0.91 200 0.91This data fits fairly well to an equation of the form a+b*(1-exp(c*x)). This type of equation was originally suggested by Peter Gorham. The gnuplot fit to the data is: 0.4265227+0.54027386*(1.0-exp(-0.0119678*x))
A plot of the data above with the suggested equation ( in green ) is available here:
The handbook of chemistry and physics contains a table relating ice(h)'s temperature to it's density. Note the density is in grams per cubic centimeter but grams per cubic centimeter is equal to Mega-grams per cubic meters. The data is as follows:
# temperature (deg C) density ( gcm^-3) # 0 0.9167 -10 0.9187 -20 0.9203 -30 0.9216 -40 0.9228 -50 0.9240 -60 0.9252 -80 0.9274 -100 0.9292 -120 0.9305 -140 0.9314 -160 0.9331 -180 0.9340This equation:
0.916899+0.0227655*(1-math.exp(0.00761904*temp))
Fits well through the above points. Here is a plot:
If you use the temperature model described here you can start with a depth, get a temperature, and then use this model to get a density value for the ice at pole. Some python code to do this calculation is available here.
A plot of the output of calc.py looks like this: