SummaryLarge 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 formatsAn outline of the netCDF4 file format and associated tools, and some of the benefits they provideThe open-source tools and methodology used to translate grid, line, point and other data into netCDF4, and to perform metadata synchronisationA brief description of a live use case exploiting web services
Received 24 March 2011; revised 25 May 2011; accepted 31 May 2011; published 8 July 2011. [1] We present three‐dimensional laboratory modeling of the evolution of finite strain and compare these to shear wave splitting observations in the Northwest U.S. under the High Lava Plains (HLP). We show that relationships between mantle flow and anisotropy are complicated in subduction zones and factors such as initial orientation of the olivine fast‐axis, style of subduction, and time evolving flow are important. Due to increased horizontal shear, systems with a component of rollback subduction have simple trench‐normal strain alignment within the central region of the backarc mantle wedge while those with more simple longitudinal sinking are often variable and complex. In the HLP, splitting observations are consistent with rollback‐driven laboratory results. Citation: Druken, K. A., M. D. Long, and C. Kincaid (2011), Patterns in seismic anisotropy driven by rollback subduction beneath the High Lava Plains, Geophys. Res. Lett., 38, L13310, doi:10.1029/2011GL047541.
[1] The Pacific Northwest (PNW) has a complex tectonic history and over the past ∼17 Ma has played host to several major episodes of intraplate volcanism. These events include the Steens/Columbia River flood basalts (CRB) and the striking spatiotemporal trends of the Yellowstone/Snake River Plain (Y/SRP) and High Lava Plains (HLP) regions. Several different models have been proposed to explain these features, which variously invoke the putative Yellowstone plume, rollback and steepening of the Cascadia slab, extensional processes in the lithosphere, or a combination of these. Here we integrate seismologic, geodynamic, geochemical, and petrologic results from the multidisciplinary HLP project and associated analyses of EarthScope USArray seismic data to propose a conceptual model for post-20 Ma mantle dynamics beneath the PNW and the relationships between mantle flow and surface tectonomagmatic activity. This model invokes rollback subduction as the main driver for mantle flow beneath the PNW beginning at ∼20 Ma. A major pulse of upwelling due to slab rollback and upper plate extension and consequent melting produced the Steens/CRB volcanism, and continuing trench migration enabled mantle upwelling and hot, shallow melting beneath the HLP. An additional buoyant mantle upwelling is required to explain the Y/SRP volcanism, but subduction-related processes may well have played a primary role in controlling its timing and location, and this upwelling likely continues today in some form. This conceptual model makes predictions that are broadly consistent with seismic observations, geodynamic modeling experiments, and petrologic and geochemical constraints.
Abstract. The distribution of data contributed to the Coupled Model Intercomparison Project Phase 6 (CMIP6) is via the Earth System Grid Federation (ESGF). The ESGF is a network of internationally distributed sites that together work as a federated data archive. Data records from climate modelling institutes are published to the ESGF and then shared around the world. It is anticipated that CMIP6 will produce approximately 20 PB of data to be published and distributed via the ESGF. In addition to this large volume of data a number of value-added CMIP6 services are required to interact with the ESGF; for example the citation and errata services both interact with the ESGF but are not a core part of its infrastructure. With a number of interacting services and a large volume of data anticipated for CMIP6, the CMIP Data Node Operations Team (CDNOT) was formed. The CDNOT coordinated and implemented a series of CMIP6 preparation data challenges to test all the interacting components in the ESGF CMIP6 software ecosystem. This ensured that when CMIP6 data were released they could be reliably distributed.