Refererences#
Florinsky, I. V. (2009). Computation of the third‐order partial derivatives from a digital elevation model. International journal of geographical information science, 23(2), 213-231. https://doi.org/10.1080/13658810802527499
Foerste, C., et al. (2014). EIGEN-6C4 the latest combined global gravity field model including GOCE data up to degree and order 2190 of GFZ potsdam and GRGS toulouse. GFZ Data Services. https://doi.org/10.5880/icgem.2015.1
Howat, I., et al. (2022a). The Reference Elevation Model of Antarctica – Strips, Version 4.1. Harvard Dataverse https://doi.org/10.7910/DVN/X7NDNY
Howat, I., et al. (2022b). The Reference Elevation Model of Antarctica – Mosaics, Version 2, Harvard Dataverse https://doi.org/10.7910/DVN/EBW8UC
Hoyer, S., & Hamman, J. (2017). xarray: N-d labeled Arrays and Datasets in Python. Journal of Open Research Software, 5(1), 10. https://doi.org/10.5334/jors.148
MacGregror, J. A. et al. (2024). Geologic Provinces Beneath the Greenland Ice Sheet Constrained by Geophysical Data Synthesis. Geophysical Research Letters, 51, e2023GL107357. https://doi.org/10.1029/2023GL107357
Mark, R. K. (1992). Multidirectional, oblique-weighted, shaded-relief image of the Island of Hawaii. United States Geological Survey. Open-File Report 92-422. https://doi.org/10.3133/ofr92422
Morlighem, M. et al. (2022a). IceBridge BedMachine Greenland, Version 5 [Data Set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/GMEVBWFLWA7X
Morlighem, M. et al. (2022b). MEaSUREs BedMachine Antarctica, Version 3 [Data Set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/FPSU0V1MWUB6
Noh, M. J., & Howat, I. M. (2017). The surface extraction from TIN based search-space minimization (SETSM) algorithm. ISPRS Journal of Photogrammetry and Remote Sensing, 129, 55-76. https://doi.org/10.1016/j.isprsjprs.2017.04.019
Nuth, C. and Kääb, A. (2011) Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011
Porter, C., et al. (2022). ArcticDEM - Strips, Version 4.1. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH
Porter, C., et al. (2023), ArcticDEM, Version 4.1, Harvard Dataverse. https://doi.org/10.7910/DVN/3VDC4W
Scheick et al., (2023). icepyx: querying, obtaining, analyzing, and manipulating ICESat-2 datasets. Journal of Open Source Software, 8(84), 4912, https://doi.org/10.21105/joss.04912
Shean et al., (2023). SlideRule: Enabling rapid, scalable, open science for the NASA ICESat-2 mission and beyond. Journal of Open Source Software, 8(81), 4982, https://doi.org/10.21105/joss.04982
Shiggins, C. J., et al. (2023). Automated ArcticDEM iceberg detection tool: insights into area and volume distributions, and their potential application to satellite imagery and modelling of glacier–iceberg–ocean systems, The Cryosphere, 17, 15–32, https://doi.org/10.5194/tc-17-15-2023
Zevenbergen, L. W. and Thorne, C. R. (1987). Quantitative analysis of land surface topography. Earth surface processes and landforms, 12(1), 47-56. https://doi.org/10.1002/esp.3290120107