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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...
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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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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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Evaluating Machine Learning and Statistical Models for Greenland Bed Topography
15 May 2024 | 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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REU_Final_Presentation
15 May 2024 | Contributor(s): Homayra Alam, Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Omar Faruque, Sikan Li, Mathieu Morlighem
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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Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography
15 May 2024 | 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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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,...
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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....
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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:...
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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
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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
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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...
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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.
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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...
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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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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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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
DO I HAVE PERMISSIONThis 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...
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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)