Dome A Inverse Model

This is the result of a geophysical inversion for the ice sheet and basal hydrological state around Dome A, East Antarctica. The datasets used to constrain the inversion are observations of basal water, basal freeze-on, internal layers, and a geothermal flux prior. The inversion solved for best-fit...

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Main Author: Wolovick, Michael (10049924)
Format: Dataset
Language:unknown
Published: 2020
Subjects:
Online Access:https://doi.org/10.5281/zenodo.4477183
id ftsmithonian:oai:figshare.com:article/13662314
record_format openpolar
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Physiology
Biotechnology
Evolutionary Biology
Ecology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Glaciology
Dome A
East Antarctica
Ice Age
Ice core
basal hydrology
geothermal flux
accumulation rate
inverse model
ice model
spellingShingle Physiology
Biotechnology
Evolutionary Biology
Ecology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Glaciology
Dome A
East Antarctica
Ice Age
Ice core
basal hydrology
geothermal flux
accumulation rate
inverse model
ice model
Wolovick, Michael (10049924)
Dome A Inverse Model
topic_facet Physiology
Biotechnology
Evolutionary Biology
Ecology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Glaciology
Dome A
East Antarctica
Ice Age
Ice core
basal hydrology
geothermal flux
accumulation rate
inverse model
ice model
description This is the result of a geophysical inversion for the ice sheet and basal hydrological state around Dome A, East Antarctica. The datasets used to constrain the inversion are observations of basal water, basal freeze-on, internal layers, and a geothermal flux prior. The inversion solved for best-fit geothermal flux and accumulation rate fields, along with their respective uncertainty and skewness, and also partitioned the fractional contribution of each individual data type towards constraining the final answer. Note that skewness fields are not statistically significant, but they are provided here for completeness anyway. Also included is the ice sheet state produced by the best-fit forward model, including: englacial and basal temperatures, basal melt/freeze rate and water flux, strain heating, hydraulic heating (ie, the combined thermal effect of PMP changes and viscous dissipation in the water system), ice velocity, strain rate, viscosity, and shape function; plus post-processing variables like ice age, best-fit H* in a D-J model, freeze-on thickness, model echo-free-zone thickness, isotopic smoothing due to diffusion, the oldest useful ice for ice coring, and the normalized elevation at which the oldest useful ice is found. Parameters included in the inversion results for both geothermal flux and accumulation rate: output of evolutionary algorithm, local optimization correction, best-fit fields, uncertainty estimate, skewness estimate, and fractional constraints contributed by the five constraints used in the inversion (water observations, freeze-on observations, internal layer observations, GHF prior, and smoothness contraint). Also contains an estimate of the bias in geothermal flux induced by the use of smoothed gridded topography that does not fully capture the deep narrow valleys where water is present. All inversion results variables are 2D. Best-fit model results include: englacial temperature (3D), basal temperature (2D), basal logical state (wet/dry; 2D), basal melt rate (2D), basal water flux (2 components plus magnitude, 2D), hydraulic heating (sum of viscous dissipation and supercooling in basal hydrological system, 2D), ice velocity (3 components, 3D), vertically averaged ice velocity (2 components plus magnitude, 2D), effective strain rate (3D), effective viscosity (3D), horizontal velocity shape function (3D), strain heating (3D), corner elevation in best-fit D-J model (2D), freeze-on thickness (2D), ice age (3D), spreading length from isotopic diffusion (3D), echo-free-zone thickness (2D), oldest useful ice for ice coring (2D), and the normalized elevation of the oldest useful ice (2D). Best-fit model also includes a misfits structure describing the misfit with the observational constraints. Units: all velocities (including accumulation rate and basal melt rate) are in m/yr. Water flux is in m^2/yr. Strain rate is in 1/yr. Ice age is in yr. All other variables are in MKS units (temperature is in K, geothermal heat flux and hydraulic heating are in W/m^2, strain heating is in W/m^3, viscosity is in Pa*s, etc). Files are provided in both .mat format and netcdf format. The mat-files have slightly more information, such as the model parameters and the data constraints. The netcdf files have 2D and 3D grids only. The inversion was run twice, once with BedMachine as the basal topography input and once with Bedmap2 as the basal topography input. Both versions use Martos et al. (2017) as the GHF prior. The version with BedMachine is considered the preferred version. Full explanation given in a pair of papers that are currently in review at JGR: Earth Surface.
format Dataset
author Wolovick, Michael (10049924)
author_facet Wolovick, Michael (10049924)
author_sort Wolovick, Michael (10049924)
title Dome A Inverse Model
title_short Dome A Inverse Model
title_full Dome A Inverse Model
title_fullStr Dome A Inverse Model
title_full_unstemmed Dome A Inverse Model
title_sort dome a inverse model
publishDate 2020
url https://doi.org/10.5281/zenodo.4477183
geographic East Antarctica
geographic_facet East Antarctica
genre Antarc*
Antarctica
East Antarctica
ice core
Ice Sheet
genre_facet Antarc*
Antarctica
East Antarctica
ice core
Ice Sheet
op_relation https://figshare.com/articles/dataset/Dome_A_Inverse_Model/13662314
doi:10.5281/zenodo.4477183
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4477183
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spelling ftsmithonian:oai:figshare.com:article/13662314 2023-05-15T13:59:57+02:00 Dome A Inverse Model Wolovick, Michael (10049924) 2020-10-07T00:00:00Z https://doi.org/10.5281/zenodo.4477183 unknown https://figshare.com/articles/dataset/Dome_A_Inverse_Model/13662314 doi:10.5281/zenodo.4477183 CC BY 4.0 CC-BY Physiology Biotechnology Evolutionary Biology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Glaciology Dome A East Antarctica Ice Age Ice core basal hydrology geothermal flux accumulation rate inverse model ice model Dataset 2020 ftsmithonian https://doi.org/10.5281/zenodo.4477183 2021-02-03T08:46:42Z This is the result of a geophysical inversion for the ice sheet and basal hydrological state around Dome A, East Antarctica. The datasets used to constrain the inversion are observations of basal water, basal freeze-on, internal layers, and a geothermal flux prior. The inversion solved for best-fit geothermal flux and accumulation rate fields, along with their respective uncertainty and skewness, and also partitioned the fractional contribution of each individual data type towards constraining the final answer. Note that skewness fields are not statistically significant, but they are provided here for completeness anyway. Also included is the ice sheet state produced by the best-fit forward model, including: englacial and basal temperatures, basal melt/freeze rate and water flux, strain heating, hydraulic heating (ie, the combined thermal effect of PMP changes and viscous dissipation in the water system), ice velocity, strain rate, viscosity, and shape function; plus post-processing variables like ice age, best-fit H* in a D-J model, freeze-on thickness, model echo-free-zone thickness, isotopic smoothing due to diffusion, the oldest useful ice for ice coring, and the normalized elevation at which the oldest useful ice is found. Parameters included in the inversion results for both geothermal flux and accumulation rate: output of evolutionary algorithm, local optimization correction, best-fit fields, uncertainty estimate, skewness estimate, and fractional constraints contributed by the five constraints used in the inversion (water observations, freeze-on observations, internal layer observations, GHF prior, and smoothness contraint). Also contains an estimate of the bias in geothermal flux induced by the use of smoothed gridded topography that does not fully capture the deep narrow valleys where water is present. All inversion results variables are 2D. Best-fit model results include: englacial temperature (3D), basal temperature (2D), basal logical state (wet/dry; 2D), basal melt rate (2D), basal water flux (2 components plus magnitude, 2D), hydraulic heating (sum of viscous dissipation and supercooling in basal hydrological system, 2D), ice velocity (3 components, 3D), vertically averaged ice velocity (2 components plus magnitude, 2D), effective strain rate (3D), effective viscosity (3D), horizontal velocity shape function (3D), strain heating (3D), corner elevation in best-fit D-J model (2D), freeze-on thickness (2D), ice age (3D), spreading length from isotopic diffusion (3D), echo-free-zone thickness (2D), oldest useful ice for ice coring (2D), and the normalized elevation of the oldest useful ice (2D). Best-fit model also includes a misfits structure describing the misfit with the observational constraints. Units: all velocities (including accumulation rate and basal melt rate) are in m/yr. Water flux is in m^2/yr. Strain rate is in 1/yr. Ice age is in yr. All other variables are in MKS units (temperature is in K, geothermal heat flux and hydraulic heating are in W/m^2, strain heating is in W/m^3, viscosity is in Pa*s, etc). Files are provided in both .mat format and netcdf format. The mat-files have slightly more information, such as the model parameters and the data constraints. The netcdf files have 2D and 3D grids only. The inversion was run twice, once with BedMachine as the basal topography input and once with Bedmap2 as the basal topography input. Both versions use Martos et al. (2017) as the GHF prior. The version with BedMachine is considered the preferred version. Full explanation given in a pair of papers that are currently in review at JGR: Earth Surface. Dataset Antarc* Antarctica East Antarctica ice core Ice Sheet Unknown East Antarctica