Extended Data Table 1 Prior and posterior statistics for parameters of the flow laws

From: Flow laws for ice constrained by 70 years of laboratory experiments

  1. # The scaling constant, \(A\), has units of \({{\rm{MPa}}}^{-n}{{\rm{m}}}^{p}{{\rm{s}}}^{-1}\); the activation energy, \(Q\), has units of \({\rm{kJ}}{{\rm{mol}}}^{-1}\). The logarithms are calculated to base 10. The flow law parameters are used for predicting axial strain rate with an input of axial stress, temperature, and grain size.
  2. * \({TN}(\mu ,{s }^{2},\min ,\max )\) represents a normal distribution truncated between specified minimum and maximum bounds, with mean, \(\mu\), and variance, \({s }^{2}\). \(U(\min ,\max )\) represents a uniform distribution where all values between the specified minimum and maximum bounds are equally likely.
  3. † The median, lower quartile, and upper quartile values of each parameter are derived from the posterior distributions obtained through Bayesian statistical modelling.
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