Investigating ice thickness for six glaciers in the Columbia Basin relative to surface inversion model output
Columbia River basin map with study glaciers
- Basin_inversion: model ice thickness for the entire Columbia Basin using optimized Glen's A and SMB gradient
- Optimized_run: OGGM run for an individual glacier with optimized A and MB gradient
- MB_gradient_comp_1glacier_gpr: compares ice thickness a glacier between OGGM linear gradient and a user defined mass balance gradient
- alt_dem_anysite_GPR: compares inversion thickness between SRTM and LiDAR DEM, and then compares to GPR obs. of ice thickness
- model_sketch: some documentation of OGGM steps
- optimized_thickness_kfold-conrad: optimized thickness modeling for Conrad Glacier, uses k-folding calibration validation data split
- optimized thickness: (depreceated) varies Glen's A to optimize modeled fit of observed ice thickness by minimizing the squared quadratic error between observed and modeled ice thickness
- own_inventory...: both files utilize corrected outlines for Nordic and Illecillewaet glaciers to conduct inversion analyses
Plotting:
- MB_gradient_comp_7panel: plots the OGGM default SMB gradients and in situ SMB gradients
- SMB_gradients_from_point_obs: Calculates and plots linear SMB gradients from point observations of glaciological mass balance
- dfb_error_scatterplot: plots distance from border exponent against mean absolute error
- distributed_thickness_plotting: optimized OGGM distributed thickness plots
- ice_thick_box_seaborn: creates boxplot of ice thickness from published modeled, observed and OGGM modeled ice thickness
- ice_thickness_plot: plots observed ice thickness for all study glaciers
- mb_grads_thick_scatterplot: creates a 2-panel plot of modeled versus observed ice thickness using different SMB gradients
- oggm_gpr_comp_plot: plots differences in ice thickness between modeled and observed ice thickness
- smooth_radius_MEA_scatterplot: plot smoothing radius against mean absolute error 7-panel plot
- smooth_window_thick_scatterplot: plot smoothing window against mean absolute error 7-panel plot
Extra:
- Farinotti_2019_volume: calculate ice volume Farinotti et al. 2019 for Columbia Basin
- Resolution: small version of the resolution testing notebook with example given, tests impact of resolution on output on single run
- optimized_thickness-smoothing-DFB-combi-SRadius: optimized thickness script with distance from border exponent or smoothing window iteration, can also iterate over resolution and smoothing radius
Ice velocity map for Conrad Glacier using Lidar DEMs from 2014 to 2018