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High-resolution inverse modelling of European CH4emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system

Bergamaschi, Peter (författare)
European Commission Joint Research Centre, Brussels
Segers, Arjo (författare)
Netherlands Organisation for Applied Scientific Research (Utrecht)
Brunner, Dominik (författare)
Swiss Federal Laboratories for Materials Science and Technology
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Haussaire, Jean Matthieu (författare)
Swiss Federal Laboratories for Materials Science and Technology
Henne, Stephan (författare)
Swiss Federal Laboratories for Materials Science and Technology
Ramonet, Michel (författare)
University of Paris-Saclay
Arnold, Tim (författare)
National Physical Laboratory, UK,University of Edinburgh
Biermann, Tobias (författare)
Lund University,Lunds universitet,ICOS Sweden,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science
Chen, Huilin (författare)
University of Groningen
Conil, Sebastien (författare)
Agence Nationale pour la gestion des Déchets RadioActifs
Delmotte, Marc (författare)
University of Paris-Saclay
Forster, Grant (författare)
University of East Anglia
Frumau, Arnoud (författare)
Netherlands Organisation for Applied Scientific Research (Utrecht)
Kubistin, Dagmar (författare)
German Meteorological Service (DWD)
Lan, Xin (författare)
National Oceanic and Atmospheric Administration (NOAA),University of Colorado
Leuenberger, Markus (författare)
University of Bern
Lindauer, Matthias (författare)
German Meteorological Service (DWD)
Lopez, Morgan (författare)
University of Paris-Saclay
Manca, Giovanni (författare)
European Commission Joint Research Centre, Brussels
Müller-Williams, Jennifer (författare)
German Meteorological Service (DWD)
O'Doherty, Simon (författare)
University of Bristol
Scheeren, Bert (författare)
University of Groningen
Steinbacher, Martin (författare)
Swiss Federal Laboratories for Materials Science and Technology
Trisolino, Pamela (författare)
CNR Institute of Atmospheric Sciences and Climate (CNR-ISAC)
Vítková, Gabriela (författare)
Academy of Sciences of the Czech Republic
Yver Kwok, Camille (författare)
University of Paris-Saclay
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 (creator_code:org_t)
2022-10-17
2022
Engelska 26 s.
Ingår i: Atmospheric Chemistry and Physics. - : Copernicus GmbH. - 1680-7316 .- 1680-7324. ; 22:20, s. 13243-13268
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • We present a novel high-resolution inverse modelling system ("FLEXVAR") based on FLEXPARTCOSMO back trajectories driven by COSMO meteorological fields at 7 km×7 km 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° × 1° 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 7 km × 7 km resolution allow the observations to be better reproduced than the TM5-4DVAR simulations at 1° × 1°. 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.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

Nyckelord

Methane
inverse modelling

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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