Discovering and using geophysical data in the 21^st century

Summary

Large geophysical data has traditionally been difficult to manage in a consistent, open, and efficient manner. The demands of modern, large-scale computing techniques, coupled with the need for sound data and metadata management, mean that established data formats and access methods are no longer adequate.

Geoscience Australia (GA) has been working with its partners to leverage and extend existing data standards to represent various geophysical data in modern scientific container formats including netCDF & HDF. The new data encodings support rapid and efficient data subsetting, either directly from a file or remotely via web services. These will underpin GA’s future data delivery pipelines for Australian government-funded geophysical data.

NetCDF efficiently handles multi-variate raster, line, and point data, as well as n-dimensional data structures supporting more demanding applications such as AEM and airborne gravity data. Structural and metadata standards deliver interoperability, and existing and emerging data types are supported without loss of precision or other information.

This extended abstract will cover:

	The rationale for Modernising GA’s geophysical data holdings into modern open standard container formats
	An outline of the netCDF4 file format and associated tools, and some of the benefits they provide
	The open-source tools and methodology used to translate grid, line, point and other data into netCDF4, and to perform metadata synchronisation
	A brief description of a live use case exploiting web services

• geophysics
• data
• web services
• metadata
• netCDF
• HDF