Resources: All

Submit a resource

Find a resource
  1. ghub x

  1. 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...

  2. 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).

  3. Approximation by Localized Penalized Splines (ALPS)

    22 Sep 2021 | *Tools | Contributor(s): Prashant Shekhar, Abani Patra

    Approximation by Localized Penalized Splines (ALPS)

  4. ATM-Based Crevasse Detection & Extraction workflow

    29 Jul 2020 | *Tools | Contributor(s): Renette Jones-Ivey, Jeanette Sperhac, Kristin Poinar

    ABCDE Tool

  5. 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...

  6. 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.

  7. 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).

  8. 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

  9. 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,...

  10. Evaluating Machine Learning and Statistical Models for Greenland Bed Topography

    15 May 2024 | Publications | Contributor(s): Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang

    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...

  11. Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography

    15 May 2024 | Publications | Contributor(s): Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan LI, Mathieu Morlighem, Jianwu Wang

    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...

  12. 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...

  13. 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.

  14. Greenland ice sheet data explorer

    15 Dec 2018 | *Tools | Contributor(s): Prashant Shekhar, Renette Jones-Ivey

    Greenland icesheet time series data explorer

  15. Greenland Ice Sheet Model Jupyter Notebook

    12 Dec 2018 | *Tools | Contributor(s): Erika Simon

    Example for Plotting a Greenland Ice Sheet Model

  16. 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.

  17. 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...

  18. GStatSim V1.0: a Python package for geostatistical interpolation and conditional simulation

    16 Oct 2023 | *Tools | 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.

  19. Ice Sheet Simulation Compliance Checker

    19 Jan 2024 | *Tools | Contributor(s): Renette Jones-Ivey, sophie nowicki, Sophie Goliber

    Checks the compliance of a simulation dataset according criteria for ISMIP6

  20. IceBridge ATM L2 Icessn Elevation, Slope, and Roughness

    23 Sep 2021 | *Data Sets/Collections | Contributor(s): Ash Narkevic, Ivan Parmuzin, Beata Maria Csatho, Greg Babonis

    This data set contains  IceBridge ATM L2 Icessn Elevation, Slope, and Roughness data  (Studinger, M. 2014, updated 2020) organized into individual flight lines, both in ascii and ArcGIS shape file formats.  The data were collected as part of NASA's Operation...