Inverse Model Results for Filchner-Ronne Catchment
This page contains the results of the inversions for basal drag and drag coefficient in the Filchner-Ronne catchment presented in Wolovick et al., (manuscript submitted to The Cryosphere), along with the code used to perform the inversions and L-curves, analyze the results, and produce the figures p...
Main Authors: | , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
2023
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Subjects: | |
Online Access: | https://zenodo.org/record/7798650 https://doi.org/10.5281/zenodo.7798650 |
Summary: | This page contains the results of the inversions for basal drag and drag coefficient in the Filchner-Ronne catchment presented in Wolovick et al., (manuscript submitted to The Cryosphere), along with the code used to perform the inversions and L-curves, analyze the results, and produce the figures presented in that paper. Note that the contents of this page may be superseded by a second version depending on the results of the review process for that manuscript. This all looks very complicated. There's so many files here. The description is so long. I just want to know the basal drag! If you don't want to get into the weeds of inverse modeling and L-curve analysis, or if you are uninterested in wading through our collection of model structures and scripts, then you should use the file BestCombinedDragEstimate.nc. That file contains our best weighted mean estimate of the ice sheet basal drag in our domain, along with the weighted standard deviation of the scatter of the different models about the mean. As discussed in the paper, this combined estimate is constructed from the weighted mean of 24 individual inversions, representing 8 separate L-curve experiments on our highest-resolution mesh, with three regularization values per L-curve (best estimate regularization, along with minimum and maximum acceptable regularization levels). Each inversion is weighted according to the inverse of its total variance ratio, which is a quality metric incorporating both observational misfit and inverted structure. For ease of use, these results have been interpolated from the unstructured model mesh onto a 250 m regular grid. The majority of users should use this file. For users who want to go further, we will now explain the remaining files in this release. First we give a brief summary of all of the scripts included here and their functions, and then we will give an explanation of the matfiles that contain the actual inversion and L-curve results. Note that the scripts presented here are the matlab scripts used to organize and ... |
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