Resources: All

Submit a resource

Find a resource
  1. modeling x
  2. volcanichazards x
  3. volcanology x
  4. ghub x
  5. volcanicrisk x

  1. MEaSUREs Greenland Ice Mapping Project (GIMP) Land Ice and Ocean Classification Masks as Shape Files

    11 Sep 2024 | Contributor(s): Ivan Parmuzin, Beata Maria Csatho

    The MEaSUREs Greenland Ice Mapping Project (GIMP) Land Ice and Ocean Classification Mask, Version 1 is now available in GIS friendly vector format (shape files) on Ghub! Shape files were converted from 30 m resolution raster masks and provide in WGS 84/UTM N24 (EPSG: 32624) and ...

  2. Incorporating Causality with Deep Learning in Predicting Short-Term and Seasonal Sea Ice

    16 Jul 2024 | Contributor(s): Emam Hossain, Sahara Ali, Yiyi Huang, Nicole Schlegel, Jianwu Wang, Aneesh Subramanian, Md Osman Gani

    Abstract: Arctic sea ice (ASI) is playing a pivotal role in keeping global warming under control. However, the recently amplified decreasing sea ice trend has become a major concern. Since satellites started monitoring the ASI in 1979, every decade the Arctic has lost 13.1% of sea ice and the...

  3. 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...

  4. 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.

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

    15 May 2024 | 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...

  6. REU_Final_Presentation

    15 May 2024 | 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...

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

    15 May 2024 | 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...

  8. Development and Initial Testing of XR-Based Fence Diagrams for Polar Science

    23 Apr 2024 | 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,...

  9. Metrics for the Quality and Consistency of Ice Layer Annotations

    23 Apr 2024 | Contributor(s): Naomi Tack, Bayu Adhi Tama, Atefah Jebeli, Vandana P. Janeja, Don Engel, Rebecca Williams

    Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel, and Rebecca Williams. 2023. Metrics for the Quality and Consistency of Ice Layer Annotations. In IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, July 16, 2023, Pasadena, CA, USA....

  10. Visualizing the Greenland Ice Sheet in VR using Immersive Fence Diagrams

    23 Apr 2024 | Contributor(s): Naomi Tack, Rebecca Williams, Nicholas Holschuh, Sharad Sharma, Don Engel

    Naomi Tack, Rebecca Williams, Nicholas Holschuh, Sharad Sharma, and Don Engel. 2023. Visualizing the Greenland Ice Sheet in VR using Immersive Fence Diagrams. In Practice and Experience in Advanced Research Computing, ACM, Portland OR USA, 429–432. DOI:...

  11. Initial Development of a WebXR Platform for Ice Penetrating Radar Data, to Improve our Understanding of Polar Ice Sheets.

    23 Apr 2024 | Contributor(s): Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, Don Engel

    Tack, Naomi, Holschuh, Nicholas, Sharma, Sharad, Williams, Rebecca, and Engel, Don. “Initial Development of a WebXR Platform for Ice Penetrating Radar Data, to Improve our Understanding of Polar Ice Sheets.” Poster at the AGU23 meeting, IN43B-0627, December 2023 

  12. 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

  13. 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.

  14. 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

  15. Regression on Ice: Function approximation for the mathematically-inclined glaciologist

    17 Sep 2023 | Contributor(s): Noah J Bergam

    Modern satellite-based analysis of the ice sheets presents a profound statistical-geometric problem: how do we make sense of scattered, noisy measurements of vast, steadily evolving surfaces like the Greenland and Antarctic ice sheets? In these lecture notes, I attempt to provide the...

  16. Volcanology Higher Education Catalogue v1.1

    01 Jun 2023 | Contributor(s): Jacqueline Dohaney, Alison Jolley, Ben Kennedy, Alexander Watson

    Here we share the up to date list of peer reviewed literature concerning volcanology higher education. (Last updated: August 8, 2024).To add a piece to the catalogue, please email the first author (j.dohaney@ed.ac.uk). It takes some time to code the literature, so please be...

  17. (Poster) Ghub: A new community-driven data-model resource for ice-sheet scientists

    19 Apr 2023 | Contributor(s): Sophie Goliber, jason briner, sophie nowicki

    PDF of the poster for "Ghub: A new community-driven data-model resource for ice-sheet scientists".  

  18. GIS layers of North America ice sheet history

    03 Oct 2022 | 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.

  19. GIS layer of Greenland Ice Sheet bed available for sub-ice drilling

    15 Sep 2022 | 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...

  20. Volcanic Ash Explorer Workflow

    16 Aug 2022 | *Tools | Contributor(s): Renette Jones-Ivey, Marcus I Bursik, Abani Patra, Klaus Sievers

    Volcanic Ash Explorer Workflow