SGER: Toward a Community Environment for Advanced Oceanic Modeling

[0736045]这个探索性项目是开发高级海洋建模社区环境（CEAOM）的原型。环境是一个由协议、软件、文件、资源和经验组成的框架，它有助于㈠评估海洋模式和技术；Ii)概念、能力和软件（参数化、数值算法、强迫等）的交换；Iii)用于探索不同建模方法的试验台；Iv)通过海洋模式集合估算不确定性；V)更容易获得“最佳实践”海洋模型；（六）海洋模式的维持和持续发展。由于这些原因，社区环境对海洋模型开发者和海洋模型用户以及整个地球系统科学都有好处。这个项目将检查和原型这样一个更广泛的环境的某些方面。提出的工作重点是开发与生物地球化学合作开发海洋模型的方法和制定战略。基本目标是设计协议以促进模型互操作性（例如网格格式、强制和初始条件规范）；检查实验设计，以比较环境中的模型；检查模块/子程序接口和添加生物地球化学模块的协议；探讨生物地球化学研究模型的互操作性和相互比较在非常理想的物理配置中使用原始生物学（简单NP）模型测试该方法；了解物理参数化对生物地球化学系统的影响；提出一个框架来比较和评估模型在现实的全球尺度配置。具体的内部比较将解决重要的突出问题：clivar赞助的全球“共同海洋参考实验”（CORE）海洋气候模拟之间差异的来源是什么？海洋物理环流和过程的表示对海洋模式中生物地球化学过程的描述有什么影响？结果将是高度信息和相关的社会重要问题。此外，拟议的活动显然是组织社区的正确的初始步骤，以便随后开发优雅、灵活和可靠的高级海洋建模社区环境，这将满足许多关键领域的明确需求。更广泛的影响拟议的工作是迈向以社区为基础的海洋模拟环境发展的初步步骤。在备受瞩目的全国性规划文件中，一再强调需要这样一个环境。从长远来看，这种环境很可能提供必要的海洋建模工具，以满足在基于生态系统的资源管理、公共卫生（例如有害藻华）、海洋运输、国防以及区域和全球气候和海洋天气预报等领域有充分记录的国家需求。与此同时，通过改进学术研究人员可用的建模工具，它将加速我们对海洋系统的理解。此外，这种方法通过促进开发人员之间更直接的协作和技术交换，将极大地加速这些工具本身的改进。简而言之，这个项目极有可能最终导致我们对海洋建模能力的重大改进，同时简化使用和利用海洋模型所需的人类努力。

0736045This exploratory project is to prototype the development of a Community Environment for Advanced Oceanic Modeling (CEAOM). An environment is a framework of protocols, software, documentation, resources and experience that facilitates i) the assessment of ocean models and techniques; ii) the interchange of concepts, capabilities and software (parameterizations, numerical algorithms, forcing, etc.); iii) test beds for the exploration of different modeling approaches; iv) estimates of uncertainties by ensembles of ocean models; v) easier access to "best practice" ocean models; vi) maintenance and continued development of ocean models. For these reasons, a Community Environment benefits both ocean model developers and ocean model users, as well as Earth System science as a whole. This project will examine and prototype certain aspects of such a broader environment.Intellectual MeritThe work proposed focuses on developing methods and establishing strategies for collaboration on ocean model development with biogeochemistry. The essential goals are to devise protocols to facilitate model interoperability (e.g. grid formats, forcing and initial condition specification); examine experimental design for comparison of models within the environment; examine the module/subroutine interfaces and protocols for adding bio-geochemical modules; explore the interoperability and inter-comparison of models for bio-geochemical studies; test the method using a proto-biology (simple NP) model in significantly idealized physics configurations; understand the impact of physical parameterizations on the bio-geochemical systems; propose a framework to compare and evaluate models in realistic global scale configuration.The specific inter-comparisons will address significant outstanding questions: What is the source of the differences between the CLIVAR-sponsored global "Common Ocean Reference Experiment" (CORE) ocean climate simulations? What effects do the representation of the physical ocean circulation and processes have on the portrayal of bio-geochemical processes in ocean models? The results will be highly informative and relevant for societally important questions. Moreover, the proposed activities are clearly the correct initial steps for organizing the community for the subsequent development of the graceful, flexible and reliable Community Environment for Advanced Oceanic Modeling, which would meet clear needs for so many critical areas.Broader ImpactsThe proposed work is a preliminary step toward the development of a community-based Ocean Modeling Environment. The need for such an environment has been repeatedly emphasized in high profile nationwide planning documents. In the long-run, this environment is likely to provide the essential ocean modeling tools to address well-documented national needs in such areas as ecosystem-based resource management, public health (e.g. harmful algal blooms), marine transportation, national defense, and regional and global climate and ocean weather forecasts. At the same time, it will speed our understanding of the ocean system by improving the modeling tools available to academic researchers. Additionally, this approach will greatly accelerate the improvement of these tools themselves by facilitating more direct collaboration between developers and exchange of techniques. In short, this project stands a high likelihood of leading ultimately to significant improvements in our ability to model the ocean, while at the same time streamlining the human efforts required to use and utilize ocean models.