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Dome rock densification parameters
20 Oct 2014 | Contributor(s): Fabian Ben Wadsworth, Betty Scheu
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dWind
27 Jul 2010 | Contributor(s): Seb Biass, Costanza Bonadonna
UPDATE: A new version of dWind is now available as part of the TephraProb package here: https://vhub.org/resources/4094It allows to download wind data from both the NOAA NCEP Reanalysis 1 and the ECMWF Era-Interim datasets and provides a variety of functions to plot and analyse wind...
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Eruption data for ash-cloud model validation
04 Apr 2013 | Contributor(s): Larry Garver Mastin, Costanza Bonadonna, Arnau Folch, peter webley, barbara stunder, Michael Pavolonis
This is a collection of data, references, and links to data on well-documented eruptions whose observations can be used to validate ash-cloud transport models. Data include, among other things, plume height, duration, erupted volume, satellite observations, numerical wind fields, and grain-size...
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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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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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Eyjafjallajokull WMO meeting, Geneva, Bursik presentation
19 Oct 2010 | Contributor(s): Marcus I Bursik
Presentation given at WMO, Geneva, Switzerland by M. Bursik, attempting to summarize work of this group to date (18 Oct 2010).LaTeXNSF-RAPID grant EAR-1041775, Icelandic Meteorological Office
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Eyjafjallajökull, volcanic clouds and aviation - one year on
05 Aug 2011 | Contributor(s): Simon Carn
A workshop at the 2011 IUGG General Assembly in Melbourne, Australia, lead by Andrew Tupper (Australian Bureau of Meteorology), Fred Prata (Norwegian Institute for Air Research), and Arnau Folch (Barcelona Supercomputing Center).The Eyjafjallajokull eruption, resulting in ground and air...
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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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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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Greenland ice sheet data explorer
15 Dec 2018 | 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 | 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...
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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.
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Hazards of volcanic ash
29 Nov 2011 | Presentations | Contributor(s): William I Rose
Claire Horwell
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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
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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
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...
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Incorporating Causality with Deep Learning in Predicting Short-Term and Seasonal Sea Ice
16 Jul 2024 | Publications | 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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Initial Development of a WebXR Platform for Ice Penetrating Radar Data, to Improve our Understanding of Polar Ice Sheets.
23 Apr 2024 | Publications | 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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ISMIP6 Ice Sheet Model Comparison Tool
14 May 2019 | *Tools | Contributor(s): Erika Simon, sophie nowicki, Elliot Snitzer, Jeanette Sperhac
This Jupyter notebook plots and compares a field from multiple ice sheet models directly in the notebook.