来自碳追踪欧洲- ch4数据同化系统的芬兰甲烷预算估算

A. Tsuruta, T. Aalto, L. Backman, M. Krol, W. Peters, S. Lienert, F. Joos, P. Miller, Wenxing Zhang, T. Laurila, J. Hatakka, A. Leskinen, K. Lehtinen, O. Peltola, T. Vesala, J. Levula, E. Dlugokencky, M. Heimann, E. Kozlova, M. Aurela, A. Lohila, M. Kauhaniemi, Á. Gómez-Peláez
{"title":"来自碳追踪欧洲- ch4数据同化系统的芬兰甲烷预算估算","authors":"A. Tsuruta, T. Aalto, L. Backman, M. Krol, W. Peters, S. Lienert, F. Joos, P. Miller, Wenxing Zhang, T. Laurila, J. Hatakka, A. Leskinen, K. Lehtinen, O. Peltola, T. Vesala, J. Levula, E. Dlugokencky, M. Heimann, E. Kozlova, M. Aurela, A. Lohila, M. Kauhaniemi, Á. Gómez-Peláez","doi":"10.1080/16000889.2018.1565030","DOIUrl":null,"url":null,"abstract":"Abstract We estimated the CH4 budget in Finland for 2004–2014 using the CTE-CH4 data assimilation system with an extended atmospheric CH4 observation network of seven sites from Finland to surrounding regions (Hyytiälä, Kjølnes, Kumpula, Pallas, Puijo, Sodankylä, and Utö). The estimated average annual total emission for Finland is 0.6 ± 0.5 Tg CH4 yr−1. Sensitivity experiments show that the posterior biospheric emission estimates for Finland are between 0.3 and 0.9 Tg CH4 yr−1, which lies between the LPX-Bern-DYPTOP (0.2 Tg CH4 yr−1) and LPJG-WHyMe (2.2 Tg CH4 yr−1) process-based model estimates. For anthropogenic emissions, we found that the EDGAR v4.2 FT2010 inventory (0.4 Tg CH4 yr−1) is likely to overestimate emissions in southernmost Finland, but the extent of overestimation and possible relocation of emissions are difficult to derive from the current observation network. The posterior emission estimates were especially reliant on prior information in central Finland. However, based on analysis of posterior atmospheric CH4, we found that the anthropogenic emission distribution based on a national inventory is more reliable than the one based on EDGAR v4.2 FT2010. The contribution of total emissions in Finland to global total emissions is only about 0.13%, and the derived total emissions in Finland showed no trend during 2004–2014. The model using optimized emissions was able to reproduce observed atmospheric CH4 at the sites in Finland and surrounding regions fairly well (correlation , bias ppb), supporting adequacy of the observations to be used in atmospheric inversion studies. In addition to global budget estimates, we found that CTE-CH4 is also applicable for regional budget estimates, where small scale (11 in this case) optimization is possible with a dense observation network.","PeriodicalId":22320,"journal":{"name":"Tellus B: Chemical and Physical Meteorology","volume":"66 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system\",\"authors\":\"A. Tsuruta, T. Aalto, L. Backman, M. Krol, W. Peters, S. Lienert, F. Joos, P. Miller, Wenxing Zhang, T. Laurila, J. Hatakka, A. Leskinen, K. Lehtinen, O. Peltola, T. Vesala, J. Levula, E. Dlugokencky, M. Heimann, E. Kozlova, M. Aurela, A. Lohila, M. Kauhaniemi, Á. Gómez-Peláez\",\"doi\":\"10.1080/16000889.2018.1565030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract We estimated the CH4 budget in Finland for 2004–2014 using the CTE-CH4 data assimilation system with an extended atmospheric CH4 observation network of seven sites from Finland to surrounding regions (Hyytiälä, Kjølnes, Kumpula, Pallas, Puijo, Sodankylä, and Utö). The estimated average annual total emission for Finland is 0.6 ± 0.5 Tg CH4 yr−1. Sensitivity experiments show that the posterior biospheric emission estimates for Finland are between 0.3 and 0.9 Tg CH4 yr−1, which lies between the LPX-Bern-DYPTOP (0.2 Tg CH4 yr−1) and LPJG-WHyMe (2.2 Tg CH4 yr−1) process-based model estimates. For anthropogenic emissions, we found that the EDGAR v4.2 FT2010 inventory (0.4 Tg CH4 yr−1) is likely to overestimate emissions in southernmost Finland, but the extent of overestimation and possible relocation of emissions are difficult to derive from the current observation network. The posterior emission estimates were especially reliant on prior information in central Finland. However, based on analysis of posterior atmospheric CH4, we found that the anthropogenic emission distribution based on a national inventory is more reliable than the one based on EDGAR v4.2 FT2010. The contribution of total emissions in Finland to global total emissions is only about 0.13%, and the derived total emissions in Finland showed no trend during 2004–2014. The model using optimized emissions was able to reproduce observed atmospheric CH4 at the sites in Finland and surrounding regions fairly well (correlation , bias ppb), supporting adequacy of the observations to be used in atmospheric inversion studies. In addition to global budget estimates, we found that CTE-CH4 is also applicable for regional budget estimates, where small scale (11 in this case) optimization is possible with a dense observation network.\",\"PeriodicalId\":22320,\"journal\":{\"name\":\"Tellus B: Chemical and Physical Meteorology\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tellus B: Chemical and Physical Meteorology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/16000889.2018.1565030\",\"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/10.1080/16000889.2018.1565030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文利用CTE-CH4数据同化系统估算了芬兰2004-2014年的CH4预算,并利用芬兰及其周边地区7个站点(Hyytiälä、Kjølnes、Kumpula、Pallas、Puijo、Sodankylä和Utö)的大气CH4观测网络进行了扩展。芬兰的年平均总排放量估计为0.6±0.5 Tg CH4 yr - 1。灵敏度实验表明,芬兰的后验生物圈排放估计值在0.3 ~ 0.9 Tg CH4 yr - 1之间,介于lpx - bern - dptop (0.2 Tg CH4 yr - 1)和LPJG-WHyMe (2.2 Tg CH4 yr - 1)过程模型估计值之间。对于人为排放,我们发现EDGAR v4.2 FT2010清单(0.4 Tg CH4年−1)可能高估了芬兰最南部的排放量,但高估的程度和排放可能的重新定位很难从当前的观测网络中得出。芬兰中部的后验排放估计尤其依赖于先验信息。然而,基于后验大气CH4分析,我们发现基于国家清单的人为排放分布比基于EDGAR v4.2 FT2010的人为排放分布更可靠。芬兰总排放量对全球总排放量的贡献仅为0.13%左右,2004-2014年推导出的芬兰总排放量没有变化趋势。使用优化排放的模式能够相当好地再现芬兰和周边地区站点观测到的大气CH4(相关系数,偏倚ppb),支持了用于大气反演研究的观测值的充分性。除了全球预算估计,我们发现CTE-CH4也适用于区域预算估计,在密集的观测网络中可以进行小尺度(在本例中为11)优化。
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
Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system
Abstract We estimated the CH4 budget in Finland for 2004–2014 using the CTE-CH4 data assimilation system with an extended atmospheric CH4 observation network of seven sites from Finland to surrounding regions (Hyytiälä, Kjølnes, Kumpula, Pallas, Puijo, Sodankylä, and Utö). The estimated average annual total emission for Finland is 0.6 ± 0.5 Tg CH4 yr−1. Sensitivity experiments show that the posterior biospheric emission estimates for Finland are between 0.3 and 0.9 Tg CH4 yr−1, which lies between the LPX-Bern-DYPTOP (0.2 Tg CH4 yr−1) and LPJG-WHyMe (2.2 Tg CH4 yr−1) process-based model estimates. For anthropogenic emissions, we found that the EDGAR v4.2 FT2010 inventory (0.4 Tg CH4 yr−1) is likely to overestimate emissions in southernmost Finland, but the extent of overestimation and possible relocation of emissions are difficult to derive from the current observation network. The posterior emission estimates were especially reliant on prior information in central Finland. However, based on analysis of posterior atmospheric CH4, we found that the anthropogenic emission distribution based on a national inventory is more reliable than the one based on EDGAR v4.2 FT2010. The contribution of total emissions in Finland to global total emissions is only about 0.13%, and the derived total emissions in Finland showed no trend during 2004–2014. The model using optimized emissions was able to reproduce observed atmospheric CH4 at the sites in Finland and surrounding regions fairly well (correlation , bias ppb), supporting adequacy of the observations to be used in atmospheric inversion studies. In addition to global budget estimates, we found that CTE-CH4 is also applicable for regional budget estimates, where small scale (11 in this case) optimization is possible with a dense observation network.
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