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Insolation and Ice Volume Explorer
17 Sep 2024 | Contributor(s):: Kristin Poinar
Explore the volume of ice on Earth, its rate of change, and insolation at 65°N over the last 4 ice ages
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Greenland ICESHEET Simulator
12 Sep 2024 | Contributor(s):: Evan James Gowan, Renette Jones-Ivey, Sophie Goliber (contributor), Joseph P Tulenko (contributor), Sophie Nowicki (contributor), Jason Briner (contributor)
A Jupyter Notebook tool which implements an easy-to-use setup to run the ICESHEET program with the Greenland Ice Sheet.
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Demonstration Code for "Comprehensive Assessment of Stress Calculations for Crevasse Depths"
14 Aug 2024 | Contributor(s):: Benjamin Reynolds, Sophie Nowicki, Kristin Poinar
This tool make plots of crevasse penetration with six resistive stress calculations found in literature for the Larsen B remnant and Pine Island Glacier ice shelves.
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JupyterLab 4.2.4 / Anaconda3.2024.6.1 / Debian 10
07 Aug 2024 | Contributor(s):: David Benham
JupyterLab 4.2.4 on Debian 10 container
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Visualizing Glacier/Ocean Change
21 May 2024 | Contributor(s):: Sophie Goliber, John Erich Christian
A simple 1-D glacier model to teach students about glacier/ocean changes.
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AskICE-D: A querying tool for the ICE-D project
15 Feb 2024 | Contributor(s):: Joseph P Tulenko, Greg Balco, jason briner, Sophie Goliber
A tool that helps users build and send SQL queries to the ICE-D database and dynamically returns the query results.
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Ice Sheet Simulation Compliance Checker
19 Jan 2024 | Contributor(s):: Renette Jones-Ivey, sophie nowicki, Sophie Goliber
Checks the compliance of a simulation dataset according criteria for ISMIP6
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GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation
16 Oct 2023 | Contributor(s):: Emma MacKie
GStatSim is a Python package specifically designed for geostatistical interpolation and simulation. These tools are part of our ongoing effort to develop and adapt open-access geostatistical functions.
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Code Demos for "Regression on Ice" Lecture Notes
10 Oct 2023 | Contributor(s):: Noah J Bergam
Notebooks with visualizations of some basic regression / machine learning concepts for glaciology