Collaborative Research: Modeling the Earth's Deep Interior: An Integrative Approach

越来越多的地球科学家开始分享“标准模型”的愿景，它将地球科学中许多现在截然不同的学科统一起来，这主要是因为最近地幔流模型的进展，该模型开始整合大规模地震学模型、矿物物理数据和地球动力学模型。不幸的是，由于学科之间的人为界限和相对孤立的小团体工作的传统，我们目前的进展缓慢。作为正在进行的CSEDI拨款的一部分，地震数据集、代码和模型已经汇编，原则上，这些数据集、代码和模型允许全球地震学家对确定地球三维结构的问题有一个更概要的看法。这个项目现在已经对地震“背景”（或长波长）三维模型达成了近乎一致的看法。加州大学圣地亚哥分校和哈佛大学之间的合作（加州大学伯克利分校也参与其中）将致力于建立背景弹性模型（包括一维模型）。虽然这项研究的结果将是一个特定的模型（或模型族），但“参考”数据集将提供给社区（以及各种其他共享数据集），以确保广泛参与参考模型的构建。最重要的是，目前的项目将扩展到地震学之外，最初将包括矿物物理组件（SUNY）和流动建模组件（U. Toronto）。将开发工具和数据集，以便对跨越地幔的条件下的各种潜在成分进行正演模拟。目标是使这些工具足够容易使用，以便非专业人员可以直接根据地震和大地测量数据测试成分模型。

Masters Weidner The vision of a "standard model" which unifies many now-distinct disciplines within the Earth sciences is one that an increasing number of geoscientists are beginning to share, largely because of recent advances in mantle flow-modeling which begin to integrate large-scale seismological models, mineral physics data, and geodynamical modeling. Unfortunately, our current progress is slow because of artificial boundaries between disciplines and the tradition of small groups working in relative isolation. As part of an ongoing CSEDI grant, seismic data sets, codes, and models have been compiled which, in principle, allow the global seismologist a more synoptic view of the problem of determining the 3D structure of the Earth. This program is now at the point where there is near-consensus on a seismological "background" (or long-wavelength) 3D model. A collaboration between UCSD and Harvard (with significant involvement of UC Berkeley) will work towards establishing the background elastic model (which includes a 1D model). While the outcome of this research will be a specific model (or family of models), the "reference" data sets will be made available to the community (as well as a wide variety of other shared data sets) to ensure broad participation in the construction of reference models. Most importantly, the current program will be extended beyond seismology and initially will include a mineral physics component (SUNY) and a flow-modeling component (U. Toronto). Tools and data sets will be developed that allow forward modeling of a wide range of potential compositions for conditions which span the mantle. The goal is to make these tools sufficiently easy to use so that non-specialists can test compositional models directly against seismic and geodetic data.