权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

SWQU: Composable Next Generation Software Framework for Space Weather Data Assimilation and Uncertainty Quantification

SWQU：用于空间天气数据同化和不确定性量化的可组合下一代软件框架

基本信息

批准号：
2028125
负责人：
RICHARD LINARES
金额：
$ 310万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2028125&HistoricalAwards=false
关键词：
SWQU Composable Next Generation Software

项目摘要

This project seeks to develop the next generation of software for space weather modeling and prediction by bringing together experts in geospace sciences, uncertainty quantification, and software development, management, and sustainability. The electronic technologies that govern modern life are deeply dependent on satellite technologies such as the Global Positioning System (GPS), which helps us navigate cities and manages air-traffic all over the world. These satellites are also the de facto timing standard of technology and commerce, used to synchronize banking transactions worldwide, our smart-phones, and the internet. Yet, the accuracy and robustness of their signals are highly vulnerable to geospace disturbances. Satellite orbits have to be controlled precisely and to do so, geospace disturbances have to be predicted in advance. Space weather models with quantifiable predictive capability are the tools that are needed, and are presently largely absent, to continue to advance the satellite technologies and everything that depends on them. The composable software framework to be developed under this project will serve as a foundation that can be expanded on and improved over time, growing both the space weather prediction capabilities and the space weather modeling community.Composable software is the crucible of computational science, allowing scientists to add their contribution to the numerical realm without having to repeat the work of others. The goal of this project is to build a next-generation framework for space weather uncertainty quantification and data assimilation, as the foundation of the growing body of computational tools for the field. The "must-haves" for this framework will be modern dispatch-based composability, reproducibility, ease-of-use, performance, portability, and extendability to today's and tomorrow's heterogeneous and novel architectures. This project will produce computationally scalable algorithms and open-source Julia-based software framework for data-driven models of space weather with the following properties: i) Composability: Software is composable when features and behaviors work together. For example, if uncertainty quantification can be applied to a program without a rewrite, the program and the uncertainty quantification compose; ii) Sustainability: Software is sustainable when the author of the program can leave the project, and new members of the project can maintain the software; iii) Portability: Software is portable when it can perform on heterogeneous hardware with a variety of underlying architectures; iv) Reproducibility: Software is reproducible today and into the future when a convenient and backward compatible pathway exists for users to readily examine, run, share, and modify code.This award is made as a part of the joint NSF-NASA pilot program on Next Generation Software for Data-driven Models of Space Weather with Quantified Uncertainties (SWQU). It is supported by NSF Division of Atmospheric and Geospace Sciences, Division of Mathematical Sciences, Office of Advanced Cyberinfrastructure, and Office of Multidisciplinary Activities. All software developed as a result of this award will be made available by the awardee free of charge for non-commercial use; the software license will permit modification and redistribution of the software free of charge for non-commercial use.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目寻求通过汇集地球空间科学、不确定性量化以及软件开发、管理和可持续性方面的专家来开发用于空间天气建模和预测的下一代软件。支配现代生活的电子技术严重依赖于卫星技术，如全球定位系统(GPS)，它帮助我们在世界各地的城市导航和管理空中交通。这些卫星也是技术和商业事实上的计时标准，用于同步全球银行交易、我们的智能手机和互联网。然而，它们信号的准确性和稳健性极易受到地球空间干扰的影响。卫星轨道必须得到精确控制，而要做到这一点，地球空间扰动必须事先预测。具有可量化预测能力的空间天气模型是继续推进卫星技术和依赖这些技术的一切所需的、目前基本上缺乏的工具。在该项目下开发的可组合软件框架将作为一个基础，可以随着时间的推移进行扩展和改进，从而发展空间天气预报能力和空间天气模型界。可组合软件是计算科学的熔炉，允许科学家在不重复他人工作的情况下为数值领域做出贡献。该项目的目标是建立下一代空间天气不确定性量化和数据同化框架，作为该领域越来越多的计算工具的基础。该框架的“必备条件”将是基于现代调度的可组合性、可重复性、易用性、性能、可移植性以及对今天和明天的异类和新型体系结构的可扩展性。该项目将产生可计算可扩展的算法和基于Julia的开源软件框架，用于数据驱动的空间天气模型，具有以下特性：i)可组合性：当特征和行为一起工作时，软件是可组合的。例如，如果不确定性量化可以应用于无需重写的程序，则该程序和不确定性量化构成；ii)可持续性：当程序的作者可以离开项目，并且项目的新成员可以维护软件时，软件是可持续的；iii)可移植性：当软件可以在具有各种底层架构的异类硬件上执行时，软件是可移植的；4)可重复性：当存在方便且向后兼容的途径供用户随时检查、运行、共享和修改代码时，软件在今天和将来都是可重现的。该奖项是美国国家科学基金会和美国国家航空航天局关于具有量化不确定性的空间天气数据驱动模型(SWQU)的下一代软件联合试验计划的一部分。它得到了NSF大气和地球空间科学部、数学科学部、高级网络基础设施办公室和多学科活动办公室的支持。因该奖项而开发的所有软件将由获奖者免费提供用于非商业用途；软件许可证将允许免费修改和重新分发软件用于非商业用途。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。