Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
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Updated
Jun 17, 2022 - Jupyter Notebook
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!
Antarctic Mapping Tools for MATLAB functions for analyzing and mapping Antarctic geospatial datasets.
Matlab tools for loading, interpolating, and displaying BedMachine ice sheet topography.
Helpful tools for polar researchers
Polar Earth Observation Database of satellite sensors
Justified Automated Weather Station (JAWS) Database Software
Using neural network to detect fracture patterns, in collaboration with Harold Li, Pierre Gentine, and Jonathan Kingslake
COMNAP Antarctic Facilities
Large-scale atmospheric response to Antarctic sea ice loss
Melt rate data from Adusumilli et al., 2020
PAMIP simulations to understand role of sea surface temperatures on polar amplifications
A complete MEaSUREs grounding line, coast line, and mask dataset from Mouginot et al.
Python codes to measure rifts using the ICESat-2 ATL06 data product. Assumes that the entire dataset is available locally.
FORTRAN and C++ tools for processing and analysis of ICESat data
Discussions related to a virtual workshop focusing on Greenlandic and Antarctica freshwater.
Code used in the publication: "Buoyancy-driven flexure at the front of Ross Ice Shelf, Antarctica, observed with ICESat-2 laser altimetry"
Code supporting "Could the Last Interglacial Constrain Projections of Future Antarctic Ice Mass Loss and Sea-level Rise?" by Gilford et al. (2020, JGR-Earth Surface)
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