利用非静力学 MPAS-A 动力核心开发 WACCM

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Advances in Modeling Earth Systems Pub Date : 2024-06-14 DOI:10.1029/2023MS004108
S. Kamali, H.-L. Liu, W. Skamarock, J. Klemp, F. Vitt, P. H. Lauritzen
{"title":"利用非静力学 MPAS-A 动力核心开发 WACCM","authors":"S. Kamali,&nbsp;H.-L. Liu,&nbsp;W. Skamarock,&nbsp;J. Klemp,&nbsp;F. Vitt,&nbsp;P. H. Lauritzen","doi":"10.1029/2023MS004108","DOIUrl":null,"url":null,"abstract":"<p>The non-hydrostatic Model for Prediction Across Scales-Atmosphere (MPAS-A) dynamical core has recently been adapted for the Specified Chemistry Whole Atmosphere Community Climate Model (SC-WACCM). In this study, the mean zonal wind and temperature climatology from SC-WACCM/MPAS-A is compared with the results from SC-WACCM using the finite volume and spectral element dynamical cores, as well as the zonal wind and temperature climatology of Upper Atmosphere Research Satellite mission and SABER. The simulations have been performed at horizontal resolutions of ∼100 km. Generally a good agreement is seen between the results from the three dynamical cores, which verifies that the new dynamical core is working with WACCM.</p>","PeriodicalId":14881,"journal":{"name":"Journal of Advances in Modeling Earth Systems","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023MS004108","citationCount":"0","resultStr":"{\"title\":\"Development of WACCM With the Non-Hydrostatic MPAS-A Dynamical Core\",\"authors\":\"S. Kamali,&nbsp;H.-L. Liu,&nbsp;W. Skamarock,&nbsp;J. Klemp,&nbsp;F. Vitt,&nbsp;P. H. Lauritzen\",\"doi\":\"10.1029/2023MS004108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The non-hydrostatic Model for Prediction Across Scales-Atmosphere (MPAS-A) dynamical core has recently been adapted for the Specified Chemistry Whole Atmosphere Community Climate Model (SC-WACCM). In this study, the mean zonal wind and temperature climatology from SC-WACCM/MPAS-A is compared with the results from SC-WACCM using the finite volume and spectral element dynamical cores, as well as the zonal wind and temperature climatology of Upper Atmosphere Research Satellite mission and SABER. The simulations have been performed at horizontal resolutions of ∼100 km. Generally a good agreement is seen between the results from the three dynamical cores, which verifies that the new dynamical core is working with WACCM.</p>\",\"PeriodicalId\":14881,\"journal\":{\"name\":\"Journal of Advances in Modeling Earth Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023MS004108\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advances in Modeling Earth Systems\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2023MS004108\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advances in Modeling Earth Systems","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023MS004108","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

非静水跨尺度预报模式-大气(MPAS-A)动力核心最近被调整用于指定化学全大气社区气候模式(SC-WACCM)。本研究将 SC-WACCM/MPAS-A 的平均带风和温度气候学结果与 SC-WACCM 使用有限体积和谱元动力核心的结果,以及高层大气研究卫星任务和 SABER 的带风和温度气候学结果进行了比较。模拟的水平分辨率为 100 千米。总体而言,三个动力核心的结果非常吻合,这验证了新的动力核心与 WACCM 的协同工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Development of WACCM With the Non-Hydrostatic MPAS-A Dynamical Core

The non-hydrostatic Model for Prediction Across Scales-Atmosphere (MPAS-A) dynamical core has recently been adapted for the Specified Chemistry Whole Atmosphere Community Climate Model (SC-WACCM). In this study, the mean zonal wind and temperature climatology from SC-WACCM/MPAS-A is compared with the results from SC-WACCM using the finite volume and spectral element dynamical cores, as well as the zonal wind and temperature climatology of Upper Atmosphere Research Satellite mission and SABER. The simulations have been performed at horizontal resolutions of ∼100 km. Generally a good agreement is seen between the results from the three dynamical cores, which verifies that the new dynamical core is working with WACCM.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
11.40
自引率
11.80%
发文量
241
审稿时长
>12 weeks
期刊介绍: The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community. Open access. Articles are available free of charge for everyone with Internet access to view and download. Formal peer review. Supplemental material, such as code samples, images, and visualizations, is published at no additional charge. No additional charge for color figures. Modest page charges to cover production costs. Articles published in high-quality full text PDF, HTML, and XML. Internal and external reference linking, DOI registration, and forward linking via CrossRef.
期刊最新文献
Reduction of the Tropical Atmospheric Dynamics Into Shallow-Water Analogs: A Formulation Analysis Circumpolar Transport and Overturning Strength Inferred From Satellite Observables Using Deep Learning in an Eddying Southern Ocean Channel Model Multi-Decadal Soil Moisture and Crop Yield Variability—A Case Study With the Community Land Model (CLM5) Coupling Soil Erosion and Sediment Transport Processes With the Variable Infiltration Capacity Model (VIC-SED) for Applications Suitable With Coarse Spatial and Temporal Resolutions Using Shortened Spin-Ups to Speed Up Ocean Biogeochemical Model Optimization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1