Improving the ensemble square root filter (EnSRF)  in the Community Inversion Framework:  a case study with ICON-ART 2024.01

Thanwerdas, Joël; Berchet, Antoine; Constantin, Lionel; Tsuruta, Aki; Steiner, Michael; Reum, Friedemann; Henne, Stephan; Brunner, Dominik

doi:https://doi.org/10.5194/gmd-18-1505-2025

Articles | Volume 18, issue 5

https://doi.org/10.5194/gmd-18-1505-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-1505-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 5

Development and technical paper

|

10 Mar 2025

Development and technical paper |

| 10 Mar 2025

Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01

Joël Thanwerdas, Antoine Berchet, Lionel Constantin, Aki Tsuruta, Michael Steiner, Friedemann Reum, Stephan Henne, and Dominik Brunner

Data sets

Input data for running forward simulations of CO2 atmospheric concentrations over Europe for the year 2019 Antoine Berchet et al. https://doi.org/10.5281/zenodo.12609041

Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate H. Hersbach et al. https://doi.org/10.24381/cds.143582cf

ERA5 hourly data on single levels from~1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Model code and software

The Community Inversion Framework: codes and documentation Antoine Berchet et al. https://doi.org/10.5281/zenodo.12742377

ICON release 2024.01 ICON partnership (DWD and MPI-M and DKRZ and KIT and C2SM) https://doi.org/10.35089/WDCC/IconRelease01

Short summary

The Community Inversion Framework (CIF) brings together methods for estimating greenhouse gas fluxes from atmospheric observations. The initial ensemble method implemented in CIF was found to be incomplete and could hardly be compared to other ensemble methods employed in the inversion community. In this paper, we present and evaluate a new implementation of the ensemble mode, building upon the initial developments.