Collaborative Research: Frameworks: Community-Based Weather and Climate Simulation With a Global Storm-Resolving Model

合作研究：框架：基于社区的天气和气候模拟以及全球风暴解决模型

• 批准号: 2005137
• 负责人: David Randall
• 金额: $ 278.92万
• 依托单位: Colorado State University
• 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: 2020-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2005137&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; Community; Based

Global Earth System Models (ESMs) use mathematical equations to simulate both weather and climate. ESMs include the dynamics of the atmosphere, oceans, land surface, ice, and vegetation. They can be used to make predictions of use to the public and policymakers. Today’s ESMs use coarse grids with cells about 100 km wide. Important weather systems like thunderstorms are too small to be simulated with such grids. One way to improve ESMs is to use finer grids that can directly simulate thunderstorms, but such models can only be run on very powerful computers. This project, called EarthWorks, will create an ESM capable of resolving storms by taking advantage of recent developments in high performance computing. EarthWorks will also use artificial intelligence to improve and speed up the model, and state-of-the-art methods to limit the amount of data produced as the model runs. The EarthWorks ESM will be built by spinning off and modifying a copy of the most recent version of the widely used Community Earth System Model. The modified model will represent the atmosphere, the oceans, and the land surface on a single very high-resolution grid, with grid cells about 4 km wide. It will have improved forecast skill, and produce more realistic simulations of past, present, and future climates. The project will make the model and its output openly available for use by all scientists.The open-source Community Earth System Model (CESM) is both developed and applied to scientific problems by a large community of researchers. It is critical infrastructure for the U.S. climate research community. In the atmosphere and ocean components of the CESM, the adiabatic terms of the partial differential equations that express conservation of mass, momentum, and thermodynamic energy are solved numerically using what is called a dynamical core. Atmosphere and ocean models also include parametric representations, called parameterizations, that are designed to include the effects of storm and cloud processes that occur on scales too small to be represented on the model's grid. Despite decades of work by many scientists, today's parameterizations are still problematic and limit the utility of ESMs for many applications of societal relevance. Fortunately, recent advances in computer power have made it possible to parameterize less, by using grid spacings on the order of a few kilometers over the entire globe. These "global storm-resolving models" (GSRMs) can only be run on today's fastest computers. GSRMs are under very active development at a dozen or so modeling centers around the world. Unfortunately, however, the current formulation of the CESM prevents it from being run as a GSRM. This project, called EarthWorks, will create a new, openly available GSRM by spinning off and intensively modifying a copy of the CESM. To accomplish this goal, the researchers will use recently developed and closely related dynamical cores for the atmosphere and ocean. All components of the model will use the same very high-resolution grid. This high resolution will make it possible to eliminate the particularly troublesome parameterization of deep cumulus convection (i.e., thunderstorms), and thereby reduce systematic biases that plague current ESMs. Earthworks will exploit the pre-exascale and exascale technologies now being brought to market by high performance computing vendors. The new exascale ESM will run the most computationally intensive components on powerful graphics processor units (GPUs), and exploit node-level task parallelism to execute the rest of the model asynchronously. The component model codes are close to completion and are currently being tested on GPUs. EarthWorks will use a simplified component-coupling approach, incorporate machine learning where feasible, and leverage lossy compression techniques and parallel I/O tools to deal with the enormous data volumes that will be generated as the model runs. The completed model will be simple, powerful, and well documented. The project will apply it to pressing scientific problems in both numerical weather prediction and climate simulation. The model and its input datasets will be made openly available to the broad research community, via GitHub.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.

全球系统模型（ESMS）使用数学方程式来模拟天气和气候。 KM宽。对我们来说，提高ESM的一种方法是可以直接模拟Thunderate雷暴，但是此类模型只能在非常强大的计算机上运行。通过利用Recents II N高性能计算THE STAME模型的t版本将代表ATMOSPIRE，海洋和单个高分辨率网格上的土地表面，网格宽约4 km。和未来的气候。在CESM的大气和海洋成分中，使用所谓的动力学核心（称为动态核心）求解了质量的偏差等均值保护。在许多科学家的工作量表上发生的过程是有效的，并且限制了ESM的实用性，用于许多社会相关性的应用程序，使得参数能够降低整个全球的公里风暴解决模型”（GSRMS）只能在当今最快的计算机上运行。urrent配方CESM可防止其作为GSRM运行。该项目称为Earthworks，将通过旋转和加强来创建一个新的，公开的GSRM CESM的副本。通过高性能计算供应商，新的Exascale ESM将运行最密集的组件功能强大的图形SOR单元（GPU），并利用节点级任务来执行型号的其余部分。当前在GPU上进行了测试，并利用有损的压缩技术和I/O工具来处理随着模型运行而生成的巨大数据。通过GitHub，将公开向广泛的研究社区公开使用该模型及其输入数据集中的科学问题。和更广泛的影响审查标准。

项目成果

Simulations With EarthWorks

使用 EarthWorks 进行模拟

• 发表时间: 2022
• 作者: David Randall;James Hurrell;Donald Dazlich;Lantao Sun;William Skamarock;Andrew Gettelman;Thomas Hauser;Sheri Mickelson;Mariana Vertenstein;Richard Loft
• 通讯作者: Richard Loft

Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States

• DOI: 10.5194/gmd-15-8135-2022
• 发表时间: 2022-11
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Xingying Huang;A. Gettelman;W. Skamarock;P. Lauritzen;Miles Curry;A. Herrington;John T. Truesdale;M. Duda

EarthWorks: The Computational Science Challenges of building an end-to- end, GPU-enabled, km-Scale Modeling System

EarthWorks：构建端到端、支持 GPU 的公里级建模系统的计算科学挑战

• 发表时间: 2022
• 作者: R. Loft;S. Mickelson;T Hauser;M. Duda;D. Dickerson;S. Suresh;J. Clyne;J. Sun;C. Fisher;M. Vertenstein
• 通讯作者: M. Vertenstein

Acceleration of the Parameterization of Unified Microphysics Across Scales (PUMAS) on the Graphics Processing Unit (GPU) With Directive‐Based Methods

• DOI: 10.1029/2022ms003515
• 发表时间: 2023-05
• 期刊: Journal of Advances in Modeling Earth Systems
• 影响因子: 6.8
• 作者: Jian Sun;J. Dennis;S. Mickelson;B. Vanderwende;A. Gettelman;K. Thayer‐Calder

A Scalable and Efficient Workflow for Compressing High-Resolution Earth System Model Data

用于压缩高分辨率地球系统模型数据的可扩展且高效的工作流程

• 发表时间: 2021
• 期刊: EarthCube Workshop
• 作者: Xu, Haiying;Loft, Richard;Paul, Kevin;Banihirwe, Anderson
• 通讯作者: Banihirwe, Anderson