Poster JG01 p-415 - Introducing agrid': a multidimensional model and framework for investigating the Antarctic crust and lithosphere, and interdisciplinary research

Numerous data compilations, models and interpretations are now available that constrain aspects of the crustand lithosphere of the Australian continent. An increasing number of interdisciplinary researchers,progressing the understanding of (e.g.) glacial isostatic adjustment (GIA) feedbacks and heat...

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Bibliographic Details
Main Authors: Staal, T, Halpin, J, Whittaker, J
Format: Conference Object
Language:English
Published: International Union of Goedesy and Geophysics (IUGG) 2019
Subjects:
Online Access:https://www.czech-in.org/cmPortalV15/CM_W3_Searchable/iugg19/normal#!abstractdetails/0000734740
http://ecite.utas.edu.au/143905
Description
Summary:Numerous data compilations, models and interpretations are now available that constrain aspects of the crustand lithosphere of the Australian continent. An increasing number of interdisciplinary researchers,progressing the understanding of (e.g.) glacial isostatic adjustment (GIA) feedbacks and heat flowcontributions to the great ice sheets, wish to draw upon constraints from solid Earth geophysics andextrapolated/interpolated sub-ice geology. The Antarctic research community therefore needs a way ofhandling multiple models and constraints such that discrepancies may be understood and the best possibleoutput models, and accompanying uncertainty information, may be taken forward for usage by (e.g.) GIAresearchers and ice sheet modellers. We introduce a computational environment 'agrid' that aims to provide a multidimensional model andframework for interdisciplinary research. This environment is built using the Python programming language,with the aim of providing an accessible user interface, such that minimal coding experience is required foreffective use. Export formats (e.g. netCDF) are interoperable for a wide range of applications. Themultidimensional grid is populated by datasets (e.g. seismic wavespeed, free-air gravity, Bouguer gravity,digital elevation) in a way that facilitates dynamic updating as the underlying geophysical compilationsimprove. The implementation is flexible and would allow for time-varying changes to the grid. Metadata ondata provenance and uncertainty are allowed for. We illustrate the framework through a comparison ofconstraints on the spatial variation of heat flow across East Antarctica.