Preprints
https://doi.org/10.5194/egusphere-2026-3606
https://doi.org/10.5194/egusphere-2026-3606
16 Sep 2026
 | 16 Sep 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

ECOMIP: The EarthCARE-ORCESTRA Model Intercomparison Project

Woosub Roh, Masaki Satoh, Romain Fiévet, Mark D. Fielding, Robin J. Hogan, Bjorn Stevens, Takuji Kubota, and Hajime Okamoto

Abstract. This study proposes the EarthCARE-ORCESTRA Model Intercomparison Project (ECOMIP), a framework for evaluating various range of atmospheric models, including global or regional km-scale models using observations from the EarthCARE satellite and the ORCESTRA (Organized Convection and EarthCARE Studies over the Tropical Atlantic) field campaign. The goal of ECOMIP is not to rank model performance but to provide a clear path to improve models by considering how new satellite observations, combined with in situ measurements and satellite simulators, can constrain cloud microphysics, precipitation, and convective dynamics. This paper presents the protocol for Phase 1 of the ECOMIP framework, consisting of 2-day simulations designed for comparison with EarthCARE and ORCESTRA observations. As a first examination of the model intercomparison, NICAM, ICON, and IFS simulations are evaluated with EarthCARE observations during the satellite overpass over the ORCESTRA domain on 3 September 2024. Along the EarthCARE track, the occurrence of a mesoscale convective system and Southern Hemisphere cirrus clouds is captured in both simulations. The three models exhibit different convective organization characteristics. NICAM and IFS tend to produce larger and more coherent convective systems, whereas ICON shows more scattered convective cores. Although conclusions from a single EarthCARE frame cannot be generalized, these results provide an example of model-dependent characteristics and demonstrate the potential of the proposed protocol for improving our understanding through the analysis of a larger number of EarthCARE cases and datasets in future studies. We also present the comprehensive framework of ECOMIP after Phase 1, including statistical free-run simulations and observationally constrained parameter-sensitivity experiments.

Competing interests: At least one of the (co-)authors serves as topic editor for the special issue to which this paper belongs.

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Woosub Roh, Masaki Satoh, Romain Fiévet, Mark D. Fielding, Robin J. Hogan, Bjorn Stevens, Takuji Kubota, and Hajime Okamoto

Status: open (until 11 Nov 2026)

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Woosub Roh, Masaki Satoh, Romain Fiévet, Mark D. Fielding, Robin J. Hogan, Bjorn Stevens, Takuji Kubota, and Hajime Okamoto
Woosub Roh, Masaki Satoh, Romain Fiévet, Mark D. Fielding, Robin J. Hogan, Bjorn Stevens, Takuji Kubota, and Hajime Okamoto
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Latest update: 16 Sep 2026
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Short summary
Clouds and rainfall are still difficult to represent accurately in weather and climate models. We introduce a new project called the EarthCARE–ORCESTRA Model Intercomparison Project (ECOMIP), which uses observations from the new Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) satellite and a tropical field campaign to compare and improve atmospheric models. Initial results show that different models can reproduce the same storm system but differ in its size and structure.
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