Web-based technology for storage, processing, and simulation of multi-component data in seismology - First steps towards a new design

基于网络的地震学多分量数据存储、处理和模拟技术 - 迈向新设计的第一步

• 批准号: 29077640
• 负责人: Professor Dr. Heiner Igel
• 金额: --
• 依托单位: Sektion Geophysik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/29077640?language=en
• 关键词: Web; based; technology; storage; processing

The data volumes in observational and computational seismology are rapidly expanding. This is due in part to ever increasing continuous data of global, regional, and local permanent station density, large scale experiments, and last not least, the increasingly important options to generate highly valuable simulation data that should be stored with the same priority than observations. Furthermore, seismology is going beyond data reduction (e.g., by extracting travel times or surface wave phase velocities) towards complete waveform processing and simulation. It is commonly accepted in the seismological community that the suite of database and processing tools that was developed in the past decade is now outdated and requires novel approaches. In this pilot project we intend to develop a new paradigm with the intention to closely link data archiving, waveform processing, and simulation infrastructure with strong emphasis on the field of seismology. These developments shall be carried out in close collaboration with major ongoing international projects in seismology (NERIES, SPICE, CIG, SCEC) as well as national initiatives (e.g., webDC, GFZ Potsdam) and data centers (BGR/SZGRF, ORFEUS, IRIS). While the focus of those projects lies in the handling of real-time observations, automatic processing of large data sets and/or the provision of computational wave propagation algorithms, the main complementary developments envisaged in this project are (1) an open source, modular, multi-component data base with access to observational infrastructure (partly provided by NERIES); (2) a link between data base, multicomponent processing tools and executable simulation algorithms (provided by SPICE); and (3) the development of formats and standards to combine the joint storage and processing of observations and simulations (partly provided by FDNS and IRIS). All developments will be developed in close collaboration with and be freely available to the relevant user communities.

观测和计算地震学的数据量正在迅速扩大。这部分是由于全球、区域和当地永久站密度、大规模实验的连续数据不断增加，最后同样重要的是，生成高价值模拟数据的选项越来越重要，这些数据应以与观测相同的优先级存储。此外，地震学正在超越数据缩减（例如，通过提取行进时间或表面波相速度），走向完整的波形处理和模拟。地震学界普遍认为，过去十年开发的数据库和处理工具套件现在已经过时，需要新的方法。在这个试点项目中，我们打算开发一种新的范式，旨在将数据归档、波形处理和模拟基础设施紧密联系起来，重点关注地震学领域。这些开发工作应与正在进行的主要地震学国际项目（NERIES、SPICE、CIG、SCEC）以及国家计划（例如 webDC、GFZ Potsdam）和数据中心（BGR/SZGRF、ORFEUS、IRIS）密切合作进行。 。虽然这些项目的重点在于处理实时观测、自动处理大型数据集和/或提供计算波传播算法，但该项目设想的主要补充发展是（1）开源、模块化，可访问观测基础设施的多组件数据库（部分由 NERIES 提供）； (2) 数据库、多组件处理工具和可执行仿真算法之间的链接（由 SPICE 提供）； (3) 开发格式和标准，以结合观测和模拟的联合存储和处理（部分由 FDNS 和 IRIS 提供）。所有开发项目都将与相关用户社区密切合作，并免费提供给相关用户社区。

项目成果

Digital library for computational seismology

计算地震学数字图书馆

• DOI: 10.1029/2007eo500002
• 发表时间: 2007
• 期刊: Eos, Transactions American Geophysical Union
• 作者: Gallovic; F.; R. Barsch; J. de la Puente und H. Igel
• 通讯作者: J. de la Puente und H. Igel

Decision support system for the mobile volcano fast response system

移动火山快速响应系统决策支持系统

• DOI: 10.1080/17538940903548420
• 发表时间: 2010
• 期刊: International Journal of Digital Earth
• 影响因子: 5.1
• 作者: Bernsdorf; S.; R. Barsch; M. Beyreuther; K. Zaksek; M. Hort und J. Wassermann
• 通讯作者: M. Hort und J. Wassermann

ObsPy: A Python Toolbox for Seismology

• DOI: 10.1785/gssrl.81.3.530
• 发表时间: 2010-05-01
• 期刊: Seismological Research Letters
• 影响因子: 3.3
• 作者: M. Beyreuther;R. Barsch;L. Krischer;T. Megies;Y. Behr;J. Wassermann
• 通讯作者: J. Wassermann