Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier
Abstract: These data products accompany the paper "Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier" (MacKie et al., in review). In this study, geostatistical techniques were used to generate an ensemble of topographic realizations tha...
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ftzenodo:oai:zenodo.org:3875144 2023-05-15T15:53:45+02:00 Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier MacKie, Emma Schroeder, Dustin Zuo, Chen Yin, Zhen Caers, Jef 2020-06-03 https://zenodo.org/record/3875144 https://doi.org/10.5281/zenodo.3875144 unknown doi:10.5281/zenodo.3875143 https://zenodo.org/record/3875144 https://doi.org/10.5281/zenodo.3875144 oai:zenodo.org:3875144 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Subglacial topography Greenland Stochastic simulation info:eu-repo/semantics/other dataset 2020 ftzenodo https://doi.org/10.5281/zenodo.387514410.5281/zenodo.3875143 2023-03-11T02:09:43Z Abstract: These data products accompany the paper "Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier" (MacKie et al., in review). In this study, geostatistical techniques were used to generate an ensemble of topographic realizations that retain the spatial statistics of radar bed elevation measurements. The simulation was conditioned to local radar data and mass conservation bed estimates. This repository contains the radar and mass conservation conditioning data, the ensemble of topographic realizations, and coordinate data. Content and processing steps: The study area is 75.15 x 48.90 km^2. The grid cell resolution is 150 meters. Each digital elevation model (DEM) has 501 x 326 grid cells. The mass conservation DEM was obtained from BedMachine Greenland (Morlighem and others, 2017). The radar data were acquired from the Center for Remote Sensing of Ice Sheets (CReSIS) 2009 flights (Gogineni, 2012; Gogineni and others, 2014). A probabilistic modeling technique called sequential Gaussian co-simulation (Verly, 1993; Almeida and Journel, 1994; Journel, 1999; Remy, 2005) was used to generate the topographic realizations. The datasets are as follows: 1) Jakobshavn_mass_conservation.txt - Mass conservation conditioning data 2) Jakobshavn_radar_data.txt - Radar conditioning data 3) Jakobshavn_simulation.txt - 250 topographic realizations. The shape of this file is 250 x 163326, where each column corresponds to one topographic realization. Each column should be reshaped to 501 x 326 to view the DEM. 4) Jakobshavn_x_data.txt - Polar stereographic X coordinates in meters 5) Jakobshavn_y_data.txt - Polar stereographic Y coordinates in meters References: Almeida, A. S., & Journel, A. G. (1994). Joint simulation of multiple variables with a Markov-type coregionalization model. Mathematical Geology, 26(5), 565-588. Gogineni, P. (2012). CReSIS radar depth sounder data. Center for Remote Sensing of Ice Sheets, Lawrence, KS https://data. cresis.-ku. edu. Gogineni, S., ... Dataset Center for Remote Sensing of Ice Sheets (CReSIS) glacier Greenland Jakobshavn Zenodo Greenland |
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unknown |
topic |
Subglacial topography Greenland Stochastic simulation |
spellingShingle |
Subglacial topography Greenland Stochastic simulation MacKie, Emma Schroeder, Dustin Zuo, Chen Yin, Zhen Caers, Jef Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
topic_facet |
Subglacial topography Greenland Stochastic simulation |
description |
Abstract: These data products accompany the paper "Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier" (MacKie et al., in review). In this study, geostatistical techniques were used to generate an ensemble of topographic realizations that retain the spatial statistics of radar bed elevation measurements. The simulation was conditioned to local radar data and mass conservation bed estimates. This repository contains the radar and mass conservation conditioning data, the ensemble of topographic realizations, and coordinate data. Content and processing steps: The study area is 75.15 x 48.90 km^2. The grid cell resolution is 150 meters. Each digital elevation model (DEM) has 501 x 326 grid cells. The mass conservation DEM was obtained from BedMachine Greenland (Morlighem and others, 2017). The radar data were acquired from the Center for Remote Sensing of Ice Sheets (CReSIS) 2009 flights (Gogineni, 2012; Gogineni and others, 2014). A probabilistic modeling technique called sequential Gaussian co-simulation (Verly, 1993; Almeida and Journel, 1994; Journel, 1999; Remy, 2005) was used to generate the topographic realizations. The datasets are as follows: 1) Jakobshavn_mass_conservation.txt - Mass conservation conditioning data 2) Jakobshavn_radar_data.txt - Radar conditioning data 3) Jakobshavn_simulation.txt - 250 topographic realizations. The shape of this file is 250 x 163326, where each column corresponds to one topographic realization. Each column should be reshaped to 501 x 326 to view the DEM. 4) Jakobshavn_x_data.txt - Polar stereographic X coordinates in meters 5) Jakobshavn_y_data.txt - Polar stereographic Y coordinates in meters References: Almeida, A. S., & Journel, A. G. (1994). Joint simulation of multiple variables with a Markov-type coregionalization model. Mathematical Geology, 26(5), 565-588. Gogineni, P. (2012). CReSIS radar depth sounder data. Center for Remote Sensing of Ice Sheets, Lawrence, KS https://data. cresis.-ku. edu. Gogineni, S., ... |
format |
Dataset |
author |
MacKie, Emma Schroeder, Dustin Zuo, Chen Yin, Zhen Caers, Jef |
author_facet |
MacKie, Emma Schroeder, Dustin Zuo, Chen Yin, Zhen Caers, Jef |
author_sort |
MacKie, Emma |
title |
Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
title_short |
Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
title_full |
Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
title_fullStr |
Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
title_full_unstemmed |
Stochastic Modeling of Subglacial Topography Exposes Uncertainty in Water Routing at Jakobshavn Glacier |
title_sort |
stochastic modeling of subglacial topography exposes uncertainty in water routing at jakobshavn glacier |
publishDate |
2020 |
url |
https://zenodo.org/record/3875144 https://doi.org/10.5281/zenodo.3875144 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Center for Remote Sensing of Ice Sheets (CReSIS) glacier Greenland Jakobshavn |
genre_facet |
Center for Remote Sensing of Ice Sheets (CReSIS) glacier Greenland Jakobshavn |
op_relation |
doi:10.5281/zenodo.3875143 https://zenodo.org/record/3875144 https://doi.org/10.5281/zenodo.3875144 oai:zenodo.org:3875144 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.387514410.5281/zenodo.3875143 |
_version_ |
1766388932881154048 |