CSDMS 2014 annual meeting poster Elchin Jafarov
From CSDMS
Presentation provided during CSDMS annual meeting 2014
Using ground-penetrating radar to measure an ice-wedge depth
Elchin Jafarov, National Snow and Ice Data Center Boulder Colorado, United States. elchin.jafarov@colorado.edu
Kevin Schaefer, National Snow and Ice Data Center Boulder Colorado, United States.
Andrew Parsekian, University of Wyoming Wyoming, United States.
Kevin Schaefer, National Snow and Ice Data Center Boulder Colorado, United States.
Andrew Parsekian, University of Wyoming Wyoming, United States.
Abstract:
We use 2-D forward finite-difference model of the ground-penetrating radar (GPR) to recover ice-wedge depth. The results of the inverse modeling of the synthetic ice-wedge depth showed convergence to the prescribed values. Here we present preliminary results of the synthetic ice-wedge depth recovery using genetic algorithm optimization subroutine. We also applied some noise to the synthetic data and showed up to what level of noise we were able to recover the desired depth. To evaluate the inverse method we calculate the corresponding uncertainties.
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
