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

Citation

Staal, T and Halpin, J and Whittaker, J, Poster JG01 p-415 - Introducing agrid': a multidimensional model and framework for investigating the Antarctic crust and lithosphere, and interdisciplinary research, 27th International Union of Goedesy and Geophysics (IUGG) General Assembly, 8-18 July 2019, Montreal, Canada (2019) [Conference Extract]


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Official URL: https://www.czech-in.org/cmPortalV15/CM_W3_Searcha...

Abstract

Numerous data compilations, models and interpretations are now available that constrain aspects of the crust and lithosphere of the Australian continent. An increasing number of interdisciplinary researchers, progressing the understanding of (e.g.) glacial isostatic adjustment (GIA) feedbacks and heat flow contributions to the great ice sheets, wish to draw upon constraints from solid Earth geophysics and extrapolated/interpolated sub-ice geology. The Antarctic research community therefore needs a way of handling multiple models and constraints such that discrepancies may be understood and the best possible output models, and accompanying uncertainty information, may be taken forward for usage by (e.g.) GIA researchers and ice sheet modellers.

We introduce a computational environment 'agrid' that aims to provide a multidimensional model and framework 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 for effective use. Export formats (e.g. netCDF) are interoperable for a wide range of applications. The multidimensional 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 compilations improve. The implementation is flexible and would allow for time-varying changes to the grid. Metadata on data provenance and uncertainty are allowed for. We illustrate the framework through a comparison of constraints on the spatial variation of heat flow across East Antarctica.

Item Details

Item Type:Conference Extract
Keywords:multivariate, grid, computational model
Research Division:Earth Sciences
Research Group:Geoinformatics
Research Field:Computational modelling and simulation in earth sciences
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Staal, T (Mr Tobias Staal)
UTAS Author:Halpin, J (Dr Jacqueline Halpin)
UTAS Author:Whittaker, J (Associate Professor Jo Whittaker)
ID Code:143905
Year Published:2019
Deposited By:Earth Sciences
Deposited On:2021-04-09
Last Modified:2021-06-18
Downloads:0

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