The LASSO-CACTI Library of Deep Convection Simulations for Córdoba, Argentina: Overview of Mesoscale and Large-Eddy Simulations

IF 3.3 3区 地球科学 Q2 ASTRONOMY & ASTROPHYSICS
William I. Gustafson Jr., Andrew M. Vogelmann, Scott E. Giangrande, Mark M. Delgado, Satoshi Endo, John D. Rausch, Eddie K. Schuman, Adam C. Varble, Heng Xiao
{"title":"The LASSO-CACTI Library of Deep Convection Simulations for Córdoba, Argentina: Overview of Mesoscale and Large-Eddy Simulations","authors":"William I. Gustafson Jr.,&nbsp;Andrew M. Vogelmann,&nbsp;Scott E. Giangrande,&nbsp;Mark M. Delgado,&nbsp;Satoshi Endo,&nbsp;John D. Rausch,&nbsp;Eddie K. Schuman,&nbsp;Adam C. Varble,&nbsp;Heng Xiao","doi":"10.1029/2026EA005033","DOIUrl":null,"url":null,"abstract":"<p>The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) User Facility recently released ensembles of high-resolution atmospheric simulations of deep convection to complement ARM's measurements. These simulations are from the Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) activity and are for 20 case dates during ARM's Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign that took place in 2018–2019, which is concurrent with the National Science Foundation's Remote Sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations (RELAMPAGO) campaign. This LASSO-CACTI scenario focuses on orographically forced deep convection and provides simulations on four model domains with grid spacings of 7.5 km down to 100 m. Each case date nominally has 33 ensemble members at the 2.5 km grid spacing, based on varying the boundary conditions to the outermost model domain. This provides researchers with a measure of the sensitivity of the simulated convection to the background environment. A subset of nine case dates extends these simulations down to 100 m grid spacing to provide researchers with detailed cloud simulations at LES scale. Some case dates include additional ensemble members with varied physics parameterizations. The greater than 2 petabyte library of simulations is freely available for researchers to download for their work, as well as to access via ARM's high-performance computing cluster. This paper describes the library, provides high-level comparisons of the simulations to help users understand what is available, and gives an overview of the skill scores used to identify simulation behaviors within the ensembles.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"13 9","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2026EA005033","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth and Space Science","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2026EA005033","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) User Facility recently released ensembles of high-resolution atmospheric simulations of deep convection to complement ARM's measurements. These simulations are from the Large-Eddy Simulation (LES) ARM Symbiotic Simulation and Observation (LASSO) activity and are for 20 case dates during ARM's Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign that took place in 2018–2019, which is concurrent with the National Science Foundation's Remote Sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations (RELAMPAGO) campaign. This LASSO-CACTI scenario focuses on orographically forced deep convection and provides simulations on four model domains with grid spacings of 7.5 km down to 100 m. Each case date nominally has 33 ensemble members at the 2.5 km grid spacing, based on varying the boundary conditions to the outermost model domain. This provides researchers with a measure of the sensitivity of the simulated convection to the background environment. A subset of nine case dates extends these simulations down to 100 m grid spacing to provide researchers with detailed cloud simulations at LES scale. Some case dates include additional ensemble members with varied physics parameterizations. The greater than 2 petabyte library of simulations is freely available for researchers to download for their work, as well as to access via ARM's high-performance computing cluster. This paper describes the library, provides high-level comparisons of the simulations to help users understand what is available, and gives an overview of the skill scores used to identify simulation behaviors within the ensembles.

阿根廷Córdoba地区LASSO-CACTI深对流模拟库:中尺度和大涡模拟概述
美国能源部大气辐射测量(ARM)用户设施最近发布了高分辨率大气深对流模拟集合,以补充ARM的测量。这些模拟来自大涡模拟(LES) ARM共生模拟和观测(LASSO)活动,是ARM云、气溶胶和复杂地形相互作用(CACTI)野外活动期间的20个案例日期,该活动于2018-2019年进行,与美国国家科学基金会的电气化、闪电和中尺度/微尺度过程遥感与自适应地面观测(RELAMPAGO)活动同时进行。这个LASSO-CACTI方案侧重于地形强迫深层对流,并提供了网格间距从7.5公里到100米的四个模型域的模拟。每个案例数据在2.5 km网格间距上名义上有33个集合成员,基于改变最外层模型域的边界条件。这为研究人员提供了一种测量模拟对流对背景环境敏感性的方法。九个案例日期的子集将这些模拟扩展到100米网格间距,为研究人员提供LES尺度的详细云模拟。某些情况下的日期包括具有不同物理参数化的附加集成成员。超过2pb的模拟库可供研究人员免费下载用于他们的工作,也可以通过ARM的高性能计算集群访问。本文描述了该库,提供了模拟的高级比较,以帮助用户了解可用的内容,并概述了用于识别集成中的模拟行为的技能分数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Earth and Space Science
Earth and Space Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
5.50
自引率
3.20%
发文量
285
审稿时长
19 weeks
期刊介绍: Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书