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

观测和计算地震学的数据量正在迅速扩大。这在一定程度上是由于不断增加的全球、区域和局部永久站密度的连续数据、大规模实验，以及产生高价值模拟数据的日益重要的选择，这些数据应该以与观测数据相同的优先级存储。此外，地震学正在超越数据简化（例如，通过提取行进时间或面波相速度），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例，将数据存档、波形处理和模拟基础设施紧密联系起来，重点放在地震学领域。这些发展应与正在进行的主要国际地震学项目（NERIES， SPICE， CIG， SCEC）以及国家倡议（例如，webDC, GFZ Potsdam）和数据中心（BGR/SZGRF， ORFEUS， IRIS）密切合作。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，但本项目设想的主要补充发展是：(1)一个开放源码、模块化、多组件数据库，可访问观测基础设施（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)制定格式和标准，将观测和模拟的联合存储和处理结合起来（部分由FDNS和IRIS提供）。所有开发都将与相关用户社区密切合作，并免费提供给他们。

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seismological community that the suite of database and processing tools that was developed in the past decade is now outdated and requires novel approaches.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.