Computational Infrastructure for Geodynamics

该奖项为地球动力学计算基础设施（CIG）提供资金，以建立和维持地球动力学和地震学的基本网络基础设施和计算能力。在过去的十年中，CIG开发和传播了广泛使用的开源代码，用于计算地震学，地幔对流，岩浆动力学，短期和长期岩石圈和地壳变形以及地球发电机建模的研究和教育。CIG通过改进科学软件开发实践改变了计算物理学研究的文化，并影响了数百名地球动力学家的教育。CIG？科学计算是固体地球科学不可或缺的组成部分，它使我们能够理解和量化塑造地球的过程。计算模型连接观测和定量模型描述地球？的内部和演化。该项目将继续开发和传播高质量的科学软件，以实现最先进的地球动力学建模，并为解决基础科学问题准备多样化的劳动力。当CIG？的主要使命是开发高质量的开源软件，一个日益增长的作用是教育和发展的地球科学家谁准备有效地使用和推进计算在研究和教学。研讨会，黑客马拉松，会议特别会议和教程培养新兴的计算地球科学家谁代表该项目的长期遗产。

This award provides funding for the Computational Infrastructure for Geodynamics (CIG) to build and sustain essential cyberinfrastructure and computational capacity for geodynamics and seismology. Over the past decade, CIG has developed and disseminated widely-used, open-source codes for research and education in computational seismology, mantle convection, magma dynamics, short- and long-term lithospheric and crustal deformation, and geodynamo modeling. CIG has changed the culture in computational geophysics research by improving scientific software development practices and has influenced the education of hundreds of geodynamicists. CIG?s approach towards writing and disseminating scientific software has become indispensable to its community and has established and sustained deep ties to computational sciences.Scientific computation is integral to solid Earth geosciences, allowing us to understand and quantify the processes that shape Earth. Computational models link observations and quantitative models describing the Earth?s interior and evolution. This project will continue the development and dissemination of high quality scientific software to enable cutting edge geodynamics modeling, and to prepare a diverse workforce to address fundamental science questions. While CIG?s primary mission is development of high-quality open-source software, a growing role is the education and development of geoscientists who are prepared to effectively use and advance computation in research and teaching. Workshops, hackathons, meeting special sessions, and tutorials foster emerging computational geoscientists who represent the long-term legacy of the project.