ITR/AP: Flexible Environments for Grand-Challenge Climate Simulation

PI将开发一个灵活的建模环境，他们将广泛提供给气候变化社区。这就需要对气候模型的组织、开发、记录和传播采取全新的办法。与阿贡国家实验室合作开发开放源码，提供一本记录其使用情况的在线教科书，并提供一个收集、测试、认证和传播其他地方开发的模块的系统。该系统将在解释面向对象的Python语言中开发。这已成功地用于一系列其他科学应用。该奖项下的工作将使用耦合海洋-大气建模解决气候科学面临的重大挑战之谜。物理理解、数值方法和计算能力的发展汇合使得解决与古气候记录中不同时期有关的问题成为可能。这项工作很重要，因为它代表了气候建模新软件开发方法的测试平台。

The PIs will develop a flexible modeling environment that they will make broadly available to the climate change community. This requires a radically new approach to the organization, development, documentation and dissemination of climate models. There is collaboration with Argonne National Laboratories for development of the open source, providing an online textbook documenting its use, and providing a system for collecting, testing, certifying and disseminating modules developed elsewhere. The system will be developed within the interpreted object-oriented Python language. This has been used successfully for a range of other scientific applications. Work under this award will resolve the grand-challenge mysteries facing climate science using coupled ocean-atmosphere modeling. A confluence of developments of physical understanding, numerical methods and computing power makes it feasible to address questions related to different epochs in the paleoclimate record. The work is important because it represents a testbed for novel software development approaches to climate modeling.