使用GRAMM-SCI进行复杂地形分散模拟的高分辨率风场建模的最新进展

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Air Quality Atmosphere and Health Pub Date : 2023-08-08 DOI:10.1007/s11869-023-01403-3
Dietmar Oettl, Raphael Reifeltshammer
{"title":"使用GRAMM-SCI进行复杂地形分散模拟的高分辨率风场建模的最新进展","authors":"Dietmar Oettl,&nbsp;Raphael Reifeltshammer","doi":"10.1007/s11869-023-01403-3","DOIUrl":null,"url":null,"abstract":"<div><p>The rather complex terrain in Austria requires that wind fields with sub-kilometer resolutions have to be generated prior to any kind of dispersion modeling due to the large demand on computation times required by non-hydrostatic prognostic mesoscale models. Proper modeling of highly resolved flows in Alpine regions is still a matter of research, and no harmonized methodology is available at the moment. In order to harmonize the meteorological input for dispersion modeling at the regional level, authorities in Austria aim at providing so-called wind-field libraries for a certain reference year for all stakeholders involved in air quality assessments for regulatory purposes. The region of Styria was the first to establish such a library using the prognostic, non-hydrostatic mesoscale model GRAMM with a horizontal resolution of 300 m in 2015. Over the years, attempts have been made for improving the quality of the wind fields. One of the most challenging issues is the interaction between synoptic-scale flows and local thermally driven winds. In this work, the newly developed mesoscale model GRAMM-SCI is presented, which is driven by ERA5 reanalysis data. Especially, novel nudging techniques allow for nesting and dynamic downscaling wind fields with a horizontal resolution of 100–200 m. Moreover, a methodology called “match-to-observation” (MTO) is presented, which greatly improves the final quality of wind fields. For the first time, a wind-field library for the reference year 2017 has been generated for Styria with this new approach.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Recent developments in high-resolution wind field modeling in complex terrain for dispersion simulations using GRAMM-SCI\",\"authors\":\"Dietmar Oettl,&nbsp;Raphael Reifeltshammer\",\"doi\":\"10.1007/s11869-023-01403-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The rather complex terrain in Austria requires that wind fields with sub-kilometer resolutions have to be generated prior to any kind of dispersion modeling due to the large demand on computation times required by non-hydrostatic prognostic mesoscale models. Proper modeling of highly resolved flows in Alpine regions is still a matter of research, and no harmonized methodology is available at the moment. In order to harmonize the meteorological input for dispersion modeling at the regional level, authorities in Austria aim at providing so-called wind-field libraries for a certain reference year for all stakeholders involved in air quality assessments for regulatory purposes. The region of Styria was the first to establish such a library using the prognostic, non-hydrostatic mesoscale model GRAMM with a horizontal resolution of 300 m in 2015. Over the years, attempts have been made for improving the quality of the wind fields. One of the most challenging issues is the interaction between synoptic-scale flows and local thermally driven winds. In this work, the newly developed mesoscale model GRAMM-SCI is presented, which is driven by ERA5 reanalysis data. Especially, novel nudging techniques allow for nesting and dynamic downscaling wind fields with a horizontal resolution of 100–200 m. Moreover, a methodology called “match-to-observation” (MTO) is presented, which greatly improves the final quality of wind fields. For the first time, a wind-field library for the reference year 2017 has been generated for Styria with this new approach.</p></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-023-01403-3\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-023-01403-3","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1

摘要

奥地利相当复杂的地形要求,由于非静水预测中尺度模型对计算时间的巨大需求,必须在任何类型的分散建模之前生成分辨率为千米以下的风场。高山地区高分辨率流量的适当建模仍然是一个研究问题,目前还没有统一的方法。为了协调区域一级分散建模的气象输入,奥地利当局旨在为参与空气质量评估的所有利益相关者提供特定参考年的所谓风场库,以达到监管目的。2015年,施蒂利亚地区率先使用水平分辨率为300米的预测性非静水中尺度模式GRAMM建立了这样一个库。多年来,人们一直在努力提高风场的质量。最具挑战性的问题之一是天气尺度流和局部热驱动风之间的相互作用。在这项工作中,提出了新发展的中尺度模式GRAMM-SCI,它是由ERA5再分析数据驱动的。特别是,新的微调技术允许嵌套和动态缩小水平分辨率为100–200米的风场。此外,提出了一种称为“与观测匹配”(MTO)的方法,大大提高了风场的最终质量。采用这种新方法,首次为施蒂利亚州生成了2017参考年的风场库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Recent developments in high-resolution wind field modeling in complex terrain for dispersion simulations using GRAMM-SCI

The rather complex terrain in Austria requires that wind fields with sub-kilometer resolutions have to be generated prior to any kind of dispersion modeling due to the large demand on computation times required by non-hydrostatic prognostic mesoscale models. Proper modeling of highly resolved flows in Alpine regions is still a matter of research, and no harmonized methodology is available at the moment. In order to harmonize the meteorological input for dispersion modeling at the regional level, authorities in Austria aim at providing so-called wind-field libraries for a certain reference year for all stakeholders involved in air quality assessments for regulatory purposes. The region of Styria was the first to establish such a library using the prognostic, non-hydrostatic mesoscale model GRAMM with a horizontal resolution of 300 m in 2015. Over the years, attempts have been made for improving the quality of the wind fields. One of the most challenging issues is the interaction between synoptic-scale flows and local thermally driven winds. In this work, the newly developed mesoscale model GRAMM-SCI is presented, which is driven by ERA5 reanalysis data. Especially, novel nudging techniques allow for nesting and dynamic downscaling wind fields with a horizontal resolution of 100–200 m. Moreover, a methodology called “match-to-observation” (MTO) is presented, which greatly improves the final quality of wind fields. For the first time, a wind-field library for the reference year 2017 has been generated for Styria with this new approach.

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
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
期刊最新文献
Reduction of 2,6-dimethoxyphenol odor emitted from Ribbed Smoked Sheet by Co(II)-salen complex The regulation effect of urban green space on air particulate matter concentration under different matrices in Xi'an city Moss biomonitoring of air quality linked with trace metals pollution around a metallurgical complex in Elbasan, Albania An analytical comparison of two versions (US EPA and BIS) of pararosaniline method used for monitoring of ambient SO2 Long term trends in global air pollution potential and its application to ventilation corridors
×
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