USAP-DC

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{"@context": "https://schema.org/", "@type": "Dataset", "@id": "doi:10.15784/601335", "additionalType": ["geolink:Dataset", "vivo:Dataset"], "name": "Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture", "description": "This data set includes the result presented in Lai et al. (2020), including the 125m-resolution fracture map, the spatial distribution of fracture depths and the initial flaw sizes calculated using linear elastic fracture mechanics (LEFM) according to the stress fields and ice-shelf thickness. We calculated the dimensionelss stress (Rxx_bar, defined in Lai et al. (2020)) which governs fracture behaviors. We obtained a dimensionless stress criteria which determines the ice-shelf areas vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar). \r\n\r\nInput data source: \r\nThe input sources are \"SUMER Antarctic Ice-shelf Buttressing, Version 1\" (https://doi.org/10.5067/FWHORAYVZCE7; F\u00fcrst et al. (2016)), \"MOA 2009\" (https://doi.org/10.7265/N5KP8037; Haran et al. (2014), Scambos et al. (2007)), and \"Bedmap2\" (https://www.bas.ac.uk/project/bedmap-2/; Fretwell et al. (2013)).\r\n\r\nData processing:\r\nThe dimensionless stress Rxx_bar is calculated using the along-flow strain rates exx (calculated from the result of F\u00fcrst et al. (2016)), the viscosity calculated from surface temperature (from the regional climate model RACMO2.3p2), and the ice-shelf thickness (from Bedmap2). \r\n\r\nFor di_dry, di_water, ds, exx, Rxx_bar, PSI, non-ice shelf areas (ocean or ice sheet) are marked NaN, using the same mask applied by F\u00fcrst et al. (2016).\r\n\r\nThe code for training a neural-network to identify fracture locations is available at https://github.com/chingyaolai/Antarctic-fracture-detection \r\n\r\nGrid Specifications:\r\nAll parameters except for \"frac_loc_125m\" are generated on the same grid used by F\u00fcrst et al. (2016) with a grid resolution of 1 km and grid dimensions (x: 5501 pixels and y: 5501 pixels). The x and y coordinate of the center of the upper-left pixel are -2,750,000 m and 2,750,000 m, respectively. The x and y coordinate are provided. \r\n\r\n\"frac_loc_125m\" is produced on the same grid as MOA 2009 (Haran et al. (2014)) with a grid resolution of 125 m and grid dimensions (x: 48333 pixels and y: 41779 pixels). The x and y coordinate of the center of the upper-left pixel are -3,174,450 m and 2,406,325 m, respectively.\r\n\r\nParameters: \r\nfrac_loc_125m: Fracture locations classified by the neural network on the MOA 2009 125m map. Fracture and non-fracture locations are denoted 1 and 0, respectively. No Unit.\r\n\r\ndi_water: Depth of the initial flaws required to destabilize fractures fully filled with water (hydrofractures). Places marked 0 are where no hydrofractures can form. Unit [m]\r\n\r\ndi_dry: Depth of the initial flaws required to form dry fractures. Places marked 0 are where no fractures can form. Unit [m]\r\n\r\nds: Depth of the stable dry fractures. Places marked 0 are where no dry fractures can form. Places marked -9999 are where dry fractures are predicted to be unstable. Unit [m]\r\n\r\nexx: Along-flow strain rates calculated, according to Glen's law, with the along-flow stress and the viscosity factor derived by F\u00fcrst et al. (2016) from data assimilation with the Elmer/Ice ice flow model. Unit [1/year]\r\n\r\nRxx_bar: Dimensionless extensional stress, defined as Rxx/(rhoi g H). The regions vulnerable to hydrofracture satisfie Rxx_bar > Rxx*_bar. No unit.\r\n\r\nPSI: Places marked 1 are the \"passive shelf ice\" identified by F\u00fcrst et al. (2016). Other locations are marked 0. No unit.\r\n\r\nfrac_loc_1km: Parameter \"frac_loc_125m\" downscaled to 1km resolution (see Lai et al. (2020)). No unit.\r\n\r\nx: x coordinate. Unit [m]\r\ny: y coordinate. Unit [m]", "citation": "Lai, C. 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A newer version exists for this dataset. Click here to go to its landing page. Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture Data DOI: https://doi.org/10.15784/601335 Cite as Lai, C. (2020) "Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture" U.S. Antarctic Program (USAP) Data Center. doi: https://doi.org/10.15784/601335. Abstract This data set includes the result presented in Lai et al. (2020), including the 125m-resolution fracture map, the spatial distribution of fracture depths and the initial flaw sizes calculated using linear elastic fracture mechanics (LEFM) according to the stress fields and ice-shelf thickness. We calculated the dimensionelss stress (Rxx_bar, defined in Lai et al. (2020)) which governs fracture behaviors. We obtained a dimensionless stress criteria which determines the ice-shelf areas vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar). Input data source: The input sources are "SUMER Antarctic Ice-shelf Buttressing, Version 1" (https://doi.org/10.5067/FWHORAYVZCE7; Fürst et al. (2016)), "MOA 2009" (https://doi.org/10.7265/N5KP8037; Haran et al. (2014), Scambos et al. (2007)), and "Bedmap2" (https://www.bas.ac.uk/project/bedmap-2/; Fretwell et al. (2013)). Data processing: The dimensionless stress Rxx_bar is calculated using the along-flow strain rates exx (calculated from the result of Fürst et al. (2016)), the viscosity calculated from surface temperature (from the regional climate model RACMO2.3p2), and the ice-shelf thickness (from Bedmap2). For di_dry, di_water, ds, exx, Rxx_bar, PSI, non-ice shelf areas (ocean or ice sheet) are marked NaN, using the same mask applied by Fürst et al. (2016). The code for training a neural-network to identify fracture locations is available at https://github.com/chingyaolai/Antarctic-fracture-detection Grid Specifications: All parameters except for "frac_loc_125m" are generated on the same grid used by Fürst et al. (2016) with a grid resolution of 1 km and grid dimensions (x: 5501 pixels and y: 5501 pixels). The x and y coordinate of the center of the upper-left pixel are -2,750,000 m and 2,750,000 m, respectively. The x and y coordinate are provided. "frac_loc_125m" is produced on the same grid as MOA 2009 (Haran et al. (2014)) with a grid resolution of 125 m and grid dimensions (x: 48333 pixels and y: 41779 pixels). The x and y coordinate of the center of the upper-left pixel are -3,174,450 m and 2,406,325 m, respectively. Parameters: frac_loc_125m: Fracture locations classified by the neural network on the MOA 2009 125m map. Fracture and non-fracture locations are denoted 1 and 0, respectively. No Unit. di_water: Depth of the initial flaws required to destabilize fractures fully filled with water (hydrofractures). Places marked 0 are where no hydrofractures can form. Unit [m] di_dry: Depth of the initial flaws required to form dry fractures. Places marked 0 are where no fractures can form. Unit [m] ds: Depth of the stable dry fractures. Places marked 0 are where no dry fractures can form. Places marked -9999 are where dry fractures are predicted to be unstable. Unit [m] exx: Along-flow strain rates calculated, according to Glen's law, with the along-flow stress and the viscosity factor derived by Fürst et al. (2016) from data assimilation with the Elmer/Ice ice flow model. Unit [1/year] Rxx_bar: Dimensionless extensional stress, defined as Rxx/(rhoi g H). The regions vulnerable to hydrofracture satisfie Rxx_bar > Rxx*_bar. No unit. PSI: Places marked 1 are the "passive shelf ice" identified by Fürst et al. (2016). Other locations are marked 0. No unit. frac_loc_1km: Parameter "frac_loc_125m" downscaled to 1km resolution (see Lai et al. (2020)). No unit. x: x coordinate. Unit [m] y: y coordinate. Unit [m] Creator(s): Lai, Ching-Yao Date Created: 2020-06-19 Repository: USAP-DC (current) License: Creative Commons Attribution-NonCommercial v4.0 Generic [CC BY-NC 4.0] Spatial Extent(s) West: -180, East: 180, South: -90, North: -60 Award(s) NSF 1743310 Version: 1 Keywords Antarctica Fractures Glaciers/ice Sheet Glaciology Meltwater Model Data