ERF：能量研究与预测模型
ERF: Energy Research and Forecasting Model
AI总结：
ERF模型利用最新HPC架构，结合AMReX框架，提供灵活的模块化平台，用于研究大气动力学及可再生能源相关流动。
AI中文摘要：
高性能计算（HPC）架构近年来经历了快速的发展。因此，已建立的软件套件面临越来越大的挑战，以在现代系统上保持高性能和可移植性。许多广泛采用的大气模型代码无法充分利用通用图形处理单元（GPGPUs）提供的加速，使这些代码的用户受限于日益有限的HPC资源。能量研究与预测（ERF）是一种区域大气模型代码，利用了最新的HPC架构，无论是仅由中央处理单元（CPUs）组成还是包含GPU。ERF包含许多标准离散化和基本特性，用于建模一般大气动力学以及与可再生能源相关的流动。ERF的模块化设计提供了一个灵活的平台，用于探索不同的物理参数化和数值策略。ERF建立在一项先进的、支持良好的软件框架（AMReX）之上，该框架提供了一个性能可移植的接口，并确保ERF在下一代计算系统上的长期可持续性。本文详细介绍了ERF的数值方法，并展示了多个验证和验证案例的结果。
英文摘要：
High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remain performant on and portable across modern systems. Many of the widely adopted atmospheric modeling codes cannot fully (or in some cases, at all) leverage the acceleration provided by General-Purpose Graphics Processing Units (GPGPUs), leaving users of those codes constrained to increasingly limited HPC resources. Energy Research and Forecasting (ERF) is a regional atmospheric modeling code that leverages the latest HPC architectures, whether composed of only Central Processing Units (CPUs) or incorporating GPUs. ERF contains many of the standard discretizations and basic features needed to model general atmospheric dynamics as well as flows relevant to renewable energy. The modular design of ERF provides a flexible platform for exploring different physics parameterizations and numerical strategies. ERF is built on a state-of-the-art, well-supported, software framework (AMReX) that provides a performance portable interface and ensures ERF's long-term sustainability on next generation computing systems. This paper details the numerical methodology of ERF and presents results for a series of verification and validation cases.
