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Poster JG01 p-415 - Introducing ‘agrid’: 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 (Dr 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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