气候变化领域集成服务门户(CCPortal): High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system

CCPortal

DOI	10.5194/acp-22-13243-2022
	High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system
	Bergamaschi, Peter; Segers, Arjo; Brunner, Dominik; Haussaire, Jean-Matthieu; Henne, Stephan; Ramonet, Michel; Arnold, Tim; Biermann, Tobias; Chen, Huilin; Conil, Sebastien; Delmotte, Marc; Forster, Grant; Frumau, Arnoud; Kubistin, Dagmar; Lan, Xin; Leuenberger, Markus; Lindauer, Matthias; Lopez, Morgan; Manca, Giovanni; Mueller-Williams, Jennifer; O'Doherty, Simon; Scheeren, Bert; Steinbacher, Martin; Trisolino, Pamela; Vitkova, Gabriela; Kwok, Camille Yver
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	13243
结束页码	13268
卷号	22 期号:20 页码:26
英文摘要	We present a novel high-resolution inverse modelling system (FLEXVAR) based on FLEXPART-COSMO back trajectories driven by COSMO meteorological fields at 7km x 7km resolution over the European COSMO-7 domain and the four-dimensional variational (4DVAR) data assimilation technique. FLEXVAR is coupled offline with the global inverse modelling system TM5-4DVAR to provide background mole fractions (baselines) consistent with the global observations assimilated in TM5-4DVAR. We have applied the FLEXVAR system for the inverse modelling of European CH4 emissions in 2018 using 24 stations with in situ measurements, complemented with data from five stations with discrete air sampling (and additional stations outside the European COSMO-7 domain used for the global TM5-4DVAR inversions). The sensitivity of the FLEXVAR inversions to different approaches to calculate the baselines, different parameterizations of the model representation error, different settings of the prior error covariance parameters, different prior inventories, and different observation data sets are investigated in detail. Furthermore, the FLEXVAR inversions are compared to inversions with the FLEXPART extended Kalman filter (FLExKF) system and with TM5-4DVAR inversions at 1 degrees x 1 degrees resolution over Europe. The three inverse modelling systems show overall good consistency of the major spatial patterns of the derived inversion increments and in general only relatively small differences in the derived annual total emissions of larger country regions. At the same time, the FLEXVAR inversions at 7km x 7km resolution allow the observations to be better reproduced than the TM5-4DVAR simulations at 1 degrees x 1 degrees. The three inverse models derive higher annual total CH4 emissions in 2018 for Germany, France, and BENELUX compared to the sum of anthropogenic emissions reported to UNFCCC and natural emissions estimated from the Global Carbon Project CH4 inventory, but the uncertainty ranges of top-down and bottom-up total emission estimates overlap for all three country regions. In contrast, the top-down estimates for the sum of emissions from the UK and Ireland agree relatively well with the total of anthropogenic and natural bottom-up inventories.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000868616300001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273417
作者单位	European Commission Joint Research Centre; EC JRC ISPRA Site; Netherlands Organization Applied Science Research; Swiss Federal Institutes of Technology Domain; Swiss Federal Laboratories for Materials Science & Technology (EMPA); UDICE-French Research Universities; Universite Paris Saclay; CEA; Centre National de la Recherche Scientifique (CNRS); National Physical Laboratory - UK; University of Edinburgh; Lund University; University of Groningen; University of East Anglia; Netherlands Organization Applied Science Research; University of Colorado System; University of Colorado Boulder; National Oceanic Atmospheric Admin (NOAA) - USA; University of Bern; University of Bern; University of Bristol; Consiglio Nazionale delle Ricerche (CNR); Istituto di Scienze dell'Atmosfera e del Clima (ISAC-CNR); Czech Academy of Sciences; Global Change Research Centre of the Czech Academy of Sciences
推荐引用方式 GB/T 7714	Bergamaschi, Peter,Segers, Arjo,Brunner, Dominik,et al. High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system[J],2022,22(20):26.
APA	Bergamaschi, Peter.,Segers, Arjo.,Brunner, Dominik.,Haussaire, Jean-Matthieu.,Henne, Stephan.,...&Kwok, Camille Yver.(2022).High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(20),26.
MLA	Bergamaschi, Peter,et al."High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.20(2022):26.