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European CH$_4$ inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell

Steiner, Michael ; Peters, Wouter; Luijkx, Ingrid; Henne, Stephan; Chen, Huilin; Hammer, Samuel; Brunner, Dominik

Abstract:

We present the first application of the ICOsahedral Nonhydrostatic model with Aerosols and Reactive Trace gases (ICON-ART) in inverse modeling in inverse modeling of greenhouse gas fluxes with an ensemble Kalman smoother. For this purpose, we extended ICON-ART to efficiently handle gridded emissions, generate an ensemble of perturbed emissions during runtime and use nudging on selected variables to keep the simulations close to analyzed meteorology. We show that the system can optimize total and anthropogenic European CH$_4$ fluxes on a national scale in an idealized setup using pseudo-observations from a realistic network of measurement stations. However, we were unable to constrain the sum of the natural emission sources of comparatively low magnitude. Also regions with low emissions and regions with low observational coverage could not be optimized individually for lack of observational constraints. Furthermore, we investigated the sensitivities towards different inversion parameters and design choices with 15 sensitivity runs using the same idealized setup, demonstrating the robustness of the approach when regarding some minimal requirements of the setup (e.g., number of ensemble members). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000186222
Veröffentlicht am 29.10.2025
Originalveröffentlichung
DOI: 10.5194/acp-24-2759-2024
Scopus
Zitationen: 6
Web of Science
Zitationen: 8
Dimensions
Zitationen: 15
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000186222
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 24
Heft 4
Seiten 2759–2782
Vorab online veröffentlicht am 01.03.2024
Nachgewiesen in Dimensions
Scopus
Web of Science
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