Overview Seismology is a data and model-intensive field. Data-driven computations benefit from Cloud Computing because observational seismology relies on horizontal scalability. Model-driven computation benefits from High-Performance Computing because simulations necessitate large memory and a high number of workers for efficient parallelization. Our project SCOPED (Seismic COmputational Platform for Empowering Discovery) aims to bridge both observational and theoretical fields by building a CyberInfrastructure (software, data) as a service to the seismic community. The challenges ahead are the benchmarking of open-source codes in cloud and HPC environments, the containerization of these codes adapted to various computing architectures, and the choice of data formats adapted to both Cloud and HPC computing, among others. PI TEAM: Carl Tape (ctape@alaska.edu); PI: full waveform modeling, earthquake source characteristics and uncertainties [UAF: OAC-CSSI 2104052] Ebru Bozdag (bozdag@mines.edu), co-PI: full waveform inversion and tomography [MINES: OAC-CSSI 2103621] Marine Denolle (mdenolle@uw.edu); co-PI: ambient noise seismology and cloud computing [UW: OAC-CSSI 2103701] Felix Waldhauser (felixw@ldeo.columbia.edu), co-PI: earthquake source precisions and catalogs [Lamont/Columbia: OAC-CSSI 2103741] Ian Wang (iwang@tacc.utexas.edu), co-PI: high-performance seismology, filesystem, database [TAAC/UT: OAC-CSSI 2103494] References and Links SeisNoise: https://github.com/tclements/SeisNoise.jl MSPASS: https://www.mspass.org/ MTUQ: https://uafgeotools.github.io/mtuq/index.html SPECFEM3D: https://github.com/geodynamics/specfem3d SPECFEM3D_GLOBE: https://github.com/geodynamics/specfem3d_globe Pyatoa: https://pyatoa.readthedocs.io/en/latest/ SCOPED base container: https://github.com/SeisSCOPED/container-base SCOPED containers: https://github.com/orgs/SeisSCOPED/packages Ambient Noise on the cloud: https://github.com/Denolle-Lab/C4-Project.jl ASDF: https://seismic-data.org/ ADIOS: https://adios2.readthedocs.io/en/latest/ SCOPED: Seismic COmputational Platform for Empowering Discovery [Year 1] NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Frameworks Project Advancing science with SCOPED codes SCOPED focuses on four seismological applications enabled by several open-source software packages. We seek to improve these packages, while also containerizing them for easier use by others. Seismic wavefield modeling with spectral-element method simulations Wavefield simulations within 3D Earth models provide synthetic seismograms that can be compared with recorded seismograms, either to better understand earthquake sources or to improve the subsurface characterization of Earth’s structure. A schematic diagram of the proposed SCOPED Cyberinfrastructure that combines computation (left) and data (right). The SCOPED deliverables will be either fully functional (dark blue) or prototyped (light blue). The external components that SCOPED will interact with (gray) are either computing facilities, data archives, and users. Representation of the unified and interconnected SCOPED Cyberinfrastructure described in the science components and cyberinsfrastructure. At the top, the global map of seismic stations represents one of several featured sources of data sets. Data are hosted and processed on HPC and on Cloud clusters, which overly pillars of wavefield simulations (left column) and data processing and analysis (right column). Cross-disciplinary research will facilitate the investigations of outstanding questions about Earth and fault dynamics Containerizing SCOPED software Once SCOPED-participating codes are mature (and meet best practices), we will containerize them for use on HPC systems and cloud systems, as sketched in the figure below left. These containers will be used both for research and training purposes. Zoom snapshot of a slide shown on Day 1 of the MTUQ2022 virtual workshop [April 2022]. The slide features the simultaneous