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A Survey on Causal Discovery Methods for IID and Time Series Data
16 Jul 2024 | Contributor(s): Uzma Hasan, Emam Hossain, Md Osman Gani
Abstract: The ability to understand causality from data is one of the major milestones of human-level intelligence. Causal Discovery (CD) algorithms can identify the cause-effect relationships among the variables of a system from related observational data with certain assumptions. Over the...
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An Open Source Tool for Visualizing ISM Intercomparisons
14 Dec 2021 | Contributor(s): Alex Becerra, sophie nowicki, Erika Simon
This tool produces visualizations from Seroussi et al. (2020).
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Approximation by Localized Penalized Splines (ALPS)
22 Sep 2021 | *Tools | Contributor(s): Prashant Shekhar, Abani Patra
Approximation by Localized Penalized Splines (ALPS)
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ASHEE
14 Aug 2015 | Offline Tools | Contributor(s): Matteo Cerminara, Tomaso Esposti Ongaro
A fluid-dynamic model is developed to numerically simulate the non-equilibrium dynamics of polydisperse gas-particle mixtures forming volcanic plumes. Starting from the three-dimensional N-phase Eulerian transport equations for a mixture of gases and solid particles, we adopt an asymptotic...
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ATM-Based Crevasse Detection & Extraction workflow
29 Jul 2020 | *Tools | Contributor(s): Renette Jones-Ivey, Jeanette Sperhac, Kristin Poinar
ABCDE Tool
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CESM ISMIP6 Forcing Data
20 Oct 2021 | *Data Sets/Collections | Contributor(s): Kate Thayer-Calder, Gunter Leguy, William Lipscomb
The Community Earth System Model (CESM) version 2.1 is a world-class coupled climate system model that includes components for the atmosphere, ocean, terrestrial system, river run-off, and fully active glaciers (Danabasoglu et al. 2020). This version of CESM was used in many experiments as part...
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CmCt GRACE MASCON Tool
16 Nov 2020 | *Tools | Contributor(s): Erika Simon, sophie nowicki
The Cryosphere model Comparison tool (CmCt) GRACE Mascon Module compares user uploaded ice sheet models to the GRACE Mascon product derived by NASA GSFC.
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CmCt Histogram Tool
21 May 2019 | *Tools | Contributor(s): Erika Simon, sophie nowicki
This Jupyter notebook based tool can be used to plot the comparison results from the Cryosphere model Comparison tool (CmCt).
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Code Demos for "Regression on Ice" Lecture Notes
10 Oct 2023 | *Tools | Contributor(s): Noah J Bergam
Notebooks with visualizations of some basic regression / machine learning concepts for glaciology
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DEM converter for Titan2D
15 Apr 2011 | *Tools | Contributor(s): Jose Luis Palma
Convert a Digital Elevation Model (DEM) in ASCII format to a Titan2D readable format
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Development and Initial Testing of XR-Based Fence Diagrams for Polar Science
23 Apr 2024 | Publications | Contributor(s): Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, Don Engel
Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, and Don Engel. 2023. Development and Initial Testing of XR-Based Fence Diagrams for Polar Science. In IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, July 16, 2023, Pasadena, CA, USA. IEEE,...
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Documentation for "Effect of particle entrainment on the runout of pyroclastic density currents"
08 Sep 2016 | *Data Sets/Collections | Contributor(s): Kristen Fauria, Michael Manga, Michael Chamberlain
This is a repository for the data and script used in, "Effect of particle entrainment on the runout of pyroclastic density currents."Here you will find:1. A compilation of splash function experimental data from this study and data that was extracted from seven other studies:...
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Evaluating Machine Learning and Statistical Models for Greenland Bed Topography
15 May 2024 | Publications | Contributor(s): Homayra Alam, Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Jianwu Wang, Sikan Li, Mathieu Morlighem, Omar Faruque
Abstract:The purpose of this research is to study how different machine learning and statistical models can be used to predict bed topography in Greenland using ice-penetrating radar and satellite imagery data. Accurate bed topography representations are crucial for understanding ice sheet...
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Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography
15 May 2024 | Publications | Contributor(s): Homayra Alam, Jianwu Wang, Tartela Tabassum, Katherine Yi, Angelina Dewar, Jason Lu, Ray Chen, Omar Faruque, Mathieu Morlighem, Sikan LI
Abstract:The purpose of this research is to study how different machine learning and statistical models can be used to predict bedrock topography under the Greenland ice sheet using ice-penetrating radar and satellite imagery data. Accurate bed topography representations are crucial for...
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GIS layer of Greenland Ice Sheet bed available for sub-ice drilling
15 Sep 2022 | *Data Sets/Collections | Contributor(s): jason briner
This dataset includes several geographical-information-system (GIS, ArcGIS) shapefiles relating to this study:Briner, J.P., Walcott, C.K., Schaefer, J.M., Young, N.E., MacGregor, J.A., Poinar, K., Keisling, B.A., Anandakrishnan, S., Albert, M.R., Kuhl, T., Boeckmann, G. (submitted). Where to...
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GIS layers of North America ice sheet history
03 Oct 2022 | *Data Sets/Collections | Contributor(s): jason briner
Included are ArcGIS shapefiles of North American ice sheet extent in 36 time slices spanning from 18,000 to 1,000 years ago.
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Greenland ice sheet data explorer
15 Dec 2018 | *Tools | Contributor(s): Prashant Shekhar, Renette Jones-Ivey
Greenland icesheet time series data explorer
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Greenland Ice Sheet Model Jupyter Notebook
12 Dec 2018 | *Tools | Contributor(s): Erika Simon
Example for Plotting a Greenland Ice Sheet Model
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Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS Comparison Tool
26 Jan 2021 | *Tools | Contributor(s): Denis Felikson, Erika Simon, Dorothy K. Hall, Nicolo DiGirolamo, Elliot Snitzer
Compare observations of Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS against MERRA-2 reanalysis model output.
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Greenland Surface Strain Rates & Stresses
15 Sep 2021 | *Data Sets/Collections | Contributor(s): Kristin Poinar
These datasets are 2D principal strain rates and principal stresses across the surface of the Greenland Ice Sheet.We started with representative surface velocities over a 20-year period (Joughin et al., 2016). We smoothed the velocities with a 1 km × 1 km boxcar filter, which carries...