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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...
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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...
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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...
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Discovery of multi-domain spatiotemporal associations
26 Apr 2024 | Contributor(s):: Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana Janeja
This paper focuses on the discovery of unusual spatiotemporal associations across multiple phenomena from distinct application domains in a spatial neighborhood where each phenomenon is represented by anomalies from the domain. Such an approach can facilitate the discovery of interesting links...
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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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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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THEPORE
06 Feb 2024 | Contributor(s):: Gilda Maria Currenti, Rosalba Napoli, Santina Chiara Stissi
THEPORE (THErmo-POro-Elastic solutions) is an open source software to perform forward and inverse modelling of the ground displacements induced by thermo-poro-elastic sources. The software, implemented in the MATLAB environment, offers a library of analytical and semi-analytical solutions to...
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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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proxy VIIRS polar observations from Aqua/Terra MODIS data (bands: I5, M12-16)
23 Nov 2023 | Contributor(s):: Dimitry Sushon
This example dataset from 11/14/2023 was produced from Aqua/Terra L1 MODIS observations over the Antarctic coast and over Siberia/Arctic Ocean.The input granules were processed with a VIIRS L1 Generator application to apply bow-tie effect and re-project the data from MODIS to VIIRS spatial...