描述欧洲甲烷排放大气逆温误差的实用协议

Barbara Szénási, A. Berchet, G. Broquet, A. Segers, Hugo A. C. Denier van der Gon, M. Krol, J. J. Hullegie, Anja Kiesow, D. Günther, A. Petrescu, M. Saunois, P. Bousquet, I. Pison
{"title":"描述欧洲甲烷排放大气逆温误差的实用协议","authors":"Barbara Szénási, A. Berchet, G. Broquet, A. Segers, Hugo A. C. Denier van der Gon, M. Krol, J. J. Hullegie, Anja Kiesow, D. Günther, A. Petrescu, M. Saunois, P. Bousquet, I. Pison","doi":"10.1080/16000889.2021.1914989","DOIUrl":null,"url":null,"abstract":"Abstract This study aims at estimating errors to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at country and source sector scales. A technically ready method is used, which is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with multiple data sets of emissions and boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results show that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The average total concentration error is estimated at 29 ppb. The assessed error of total CH4 emissions is 22% and emission errors are heterogeneous at sector (23–49%) and country scales (16–124%), with largest errors occurring in the waste sector due to uncertainties in activity data and emission factors and in Finland due to uncertainties in natural wetland emissions.","PeriodicalId":22320,"journal":{"name":"Tellus B: Chemical and Physical Meteorology","volume":"30 1","pages":"1 - 23"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe\",\"authors\":\"Barbara Szénási, A. Berchet, G. Broquet, A. Segers, Hugo A. C. Denier van der Gon, M. Krol, J. J. Hullegie, Anja Kiesow, D. Günther, A. Petrescu, M. Saunois, P. Bousquet, I. Pison\",\"doi\":\"10.1080/16000889.2021.1914989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study aims at estimating errors to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at country and source sector scales. A technically ready method is used, which is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with multiple data sets of emissions and boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results show that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The average total concentration error is estimated at 29 ppb. The assessed error of total CH4 emissions is 22% and emission errors are heterogeneous at sector (23–49%) and country scales (16–124%), with largest errors occurring in the waste sector due to uncertainties in activity data and emission factors and in Finland due to uncertainties in natural wetland emissions.\",\"PeriodicalId\":22320,\"journal\":{\"name\":\"Tellus B: Chemical and Physical Meteorology\",\"volume\":\"30 1\",\"pages\":\"1 - 23\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tellus B: Chemical and Physical Meteorology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/16000889.2021.1914989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tellus B: Chemical and Physical Meteorology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/16000889.2021.1914989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

摘要本研究旨在估算欧洲尺度上甲烷(CH4)排放大气反演的误差。在模型域的浓度空间和选定的测量点估计了四种类型的误差。此外,在国家和来源部门的尺度上估计排放清单的误差。本文采用了一种技术上已经成熟的方法,通过运行一组2015年每小时CH4混合比的模拟来实现,该模拟使用两种区域限制运输模式,在三个水平分辨率下,以排放、边界和初始条件的多个数据集作为输入。所获得的误差估计值为如何在反演欧洲CH4排放的反演模型系统中处理这些误差提供了见解。主要结果表明,与通常的反演实践不同,传输误差的来源可能与排放一起得到更好的控制。平均总浓度误差估计为29 ppb。CH4总排放量的评估误差为22%,在部门(23-49%)和国家尺度(16-124%)上的排放误差是不均匀的,由于活动数据和排放因素的不确定性,最大的误差发生在废物部门,芬兰则是由于自然湿地排放的不确定性。
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
A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe
Abstract This study aims at estimating errors to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at country and source sector scales. A technically ready method is used, which is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with multiple data sets of emissions and boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results show that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The average total concentration error is estimated at 29 ppb. The assessed error of total CH4 emissions is 22% and emission errors are heterogeneous at sector (23–49%) and country scales (16–124%), with largest errors occurring in the waste sector due to uncertainties in activity data and emission factors and in Finland due to uncertainties in natural wetland emissions.
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
自引率
0.00%
发文量
0
期刊最新文献
Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties Dimensionless Parameterizations of Air-Sea CO2 Gas Transfer Velocity on Surface Waves Transport of Mineral Dust Into the Arctic in Two Reanalysis Datasets of Atmospheric Composition The Climatic Role of Interactive Leaf Phenology in the Vegetation-Atmosphere System of Radiative-Convective Equilibrium Storm-Resolving Simulations Tropical and Boreal Forest – Atmosphere Interactions: A Review
×
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