Functions to generate probabilistic estimates of annual accumulation from ice-penetrating radar without the need for manual layer selection or correction
Lns 31-40 (2nd column): This ``hard assignment'' of peaks to layers seems to be a key reason for failures of the overall algorithm, due to things like estimated layer boundaries jumping between actual layers. I wonder if you considered a probabilistic approach here as well? In other words, why not use Monte Carlo simulations to create the layer boundaries, before the round of MC simulations already proposed?
This is an interesting idea that I would like to explore. I worry though that such a method would not be computationally tractable in an appropriate timeframe. The layer group assignment is by far the most computationally intensive portion of the method, so repeating many times over may not be feasible. Still an interesting idea worth investigating.
Reviewer 3 notes
This is an interesting idea that I would like to explore. I worry though that such a method would not be computationally tractable in an appropriate timeframe. The layer group assignment is by far the most computationally intensive portion of the method, so repeating many times over may not be feasible. Still an interesting idea worth investigating.