Geophysical Research Data Processing and Modelling for 2030 Computation
The Cross-NCRIS National Data Assets program co-funded the ‘Geophysics 2030: Building a National High-Resolution Geophysics Reference Collection for 2030 Computation’ (Geophysics2030) project. At completion, Geophysics2030 i) trialled publishing vertically integrated geophysical datasets, making...
Keywords: Geophysics, Applied mathematics, Physical sciences, Computer and information sciences
Resource type: presentation
Geophysical Research Data Processing and Modelling for 2030 Computation
https://zenodo.org/records/11100591
https://dresa.org.au/materials/geophysical-research-data-processing-and-modelling-for-2030-computation
The Cross-NCRIS National Data Assets program co-funded the ‘Geophysics 2030: Building a National High-Resolution Geophysics Reference Collection for 2030 Computation’ (Geophysics2030) project. At completion, Geophysics2030 i) trialled publishing vertically integrated geophysical datasets, making both raw datasets and successive levels of derivative data products available online in a new international self-describing data standard (first published in 2022); ii) co-located these datasets/data products with HPC computing resources required to process datasets at scale; and iii) developed new community software and environments allowing researchers to exploit the new data sets at high-resolution on a continental-scale. This ARDC, AuScope, NCI and TERN-funded project created new high-performance dataset and introduced a new, world-leading community platform that allows researchers to combine high-performance computing, high-resolution datasets, and flexible software workflows. The world-leading innovation was evidenced by new projects in collaboration with leading international researchers, including Jared Peacock, the United States Geological Survey-based leader of the new standards for Magnetotelluric (MT) data and Karl Kappler, DIAS Geophysics, who leads the development of ‘Aurora’, a National Science Foundation (USA) funded open-source software package for processing MT data using the new MTH5 standards.
This Community Connect project, in partnership with NCI and AuScope, proposed to develop, deliver, and distribute a 2-day ‘Geophysical Research Data Processing and Modelling for 2030 Computation’ workshop in 2023. The training packages will consist of two parts, i) the utilisation of NCI for Geophysics processing and modelling, and ii) developing workflows for coupling Geophysical software, compute environments and datasets.
Through previous engagement with the Geophysics community, we knew users of the 2030 Geophysics Collection were experts in their fields of geophysics data acquisition, processing and modelling. The community had high levels of computer literacy and deep technical skills in geophysics and research expertise. The workshop was targeted to support this advanced community and facilitate the usage of large co-located datasets and high-performance computing at the NCI HPC/cloud platform.
rebecca@auscope.org.au
Lesley Wyborn
Nigel Rees
Hannes Hollmann
Jo Croucher
Jared Peacock
Karl Kappler
Rui Yang
Janelle Kerr
Stephan Thiel
Hoël Seille
Anandaroop Ray
Robert Pickle
Voon Hui Lai
Shang Wang
Ben Evans
Rebecca Farrington
Geophysics, Applied mathematics, Physical sciences, Computer and information sciences
Network Know-how and Data Handling Workshop
This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated...
Keywords: Networks, data handling
Resource type: lesson, presentation
Network Know-how and Data Handling Workshop
https://zenodo.org/record/6403757#.Yk-Gl8gza70
https://dresa.org.au/materials/network-know-how-and-data-handling-workshop
This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated tools, data and storage and where all these things fit in the researcher’s toolkit.
This workshop is targeted at staff who would like to be more confident in giving advice to researchers about the options available to them. It is especially tailored for those with little to no technical knowledge and includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming.
Sara King - sara.king@aarnet.edu.au
King, Sara (orcid: 0000-0003-3199-5592)
Mason, Ingrid (orcid: 0000-0002-0658-6095)
Burke, Melissa (orcid: 0000-0002-5571-8664)
Networks, data handling