Integrated Greenhouse Gas Monitoring System

The Integrated Greenhouse Gas Monitoring System for Germany (ITMS) is a BMFTR-funded project for validating and improving the estimates of greenhouse gas emissions in Germany. I work on the task of greenhouse gas flux inversion. Given observations of the greenhouse gas concentration, an atmospheric transport model, and an initial emission estimates, the inversion system improves the emission estimate using the information contained in the observations.

• Project homepage
• Project page at the German Meteorological Service (DWD)

Publications, datasets and software

ITMS demonstrator v2026

The latest version will be presented at NCGG10 (see conference program)

ITMS demonstrator v2025

CH₄ emission estimates for 2020 to 2023 are published in the FLUXIE data format. The core of the current flux inversion system can be found in the scientific documentation of the Dynamic Uncertainty Bayesian Flux Inversion (DUBFI) python package. See new post on the ITMS website.

• Dataset: V. B., T. Rösch, M. J. Steil, D. Jiménez de la Cuesta Otero, B. Ellerhoff, N. Becker, J. Böttcher, A.-M. Blechschmidt, B. Mamtimin, and A. K. Kaiser-Weiss European methane emissions estimated top-down with the ITMS demonstrator v2025 [Data set]. Zenodo. doi:10.5281/zenodo.20429764 (2026)
• Software: The Dynamic Uncertainty Bayesian Flux Inversion is published as open source python package DUBFI.

First demonstrator (v2024)

• Description of the flux inversion system:
  V. B., T. Rösch, D. Jiménez de la Cuesta Otero, B. Ellerhoff, B. Mamtimin, N. Becker, A.-M. Blechschmidt, J. Förstner, and A. K. Kaiser-Weiss German methane fluxes estimated top-down using ICON–ART – Part 1: Ensemble-enhanced scaling inversion, Atmos. Chem. Phys. 25, 17159–17185 (2025)
• Results:
  V. B., T. Rösch, D. Jiménez de la Cuesta Otero, B. Ellerhoff, B. Mamtimin, N. Becker, A.-M. Blechschmidt, J. Förstner, and A. K. Kaiser-Weiss German methane fluxes estimated top-down using ICON–ART – Part 2: Inversion results for 2021, Atmos. Chem. Phys. 25, 17187–17204 (2025)
• Dataset:
  V. B., T. Rösch, D. Jiménez de la Cuesta Otero, B. Ellerhoff, B. Mamtimin, N. Becker, A.-M. Blechschmidt, J. Förstner, and A. K. Kaiser-Weiss German methane fluxes in 2021 estimated with an ensemble-enhanced scaling inversion based on the ICON–ART model [Data set]. Zenodo. doi:10.5281/zenodo.17414768 (2025)