Ohneiser et al. (2025) Impact of seeder-feeder cloud interaction on precipitation formation: a case study based on extensive remote-sensing, in situ and model data

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Identification

• Journal: Repository for Publications and Research Data (ETH Zurich)
• Year: 2025
• Date: 2025-12-02
• Authors: Kevin Ohneiser, Patric Seifert, Willi Schimmel, Fabian Senf, Tom Gaudek, Martin Radenz, Audrey Teisseire, Veronika Ettrichrätz, Teresa Vogl, Nina Maherndl, Nils Pfeifer, Jan Henneberger, Anna J. Miller, Nadja Omanovic, Christopher Fuchs, Huiying Zhang, Fabiola Ramelli, Robert Spirig, Anton Kötsche, Heike Kalesse-Los, et. al.
• DOI: 10.3929/ethz-c-000789598

Research Groups

[Not explicitly mentioned in the provided text.]

Short Summary

This study provides an unprecedented detailed investigation of a seeder-feeder cloud system over the Swiss Plateau, demonstrating significant precipitation enhancement from seeder-feeder interaction, with an estimated 20% to 40% of precipitation originating from the feeder cloud.

Objective

• To investigate in unprecedented detail the role of the interplay of a seeder-feeder cloud system and its influence on precipitation formation, utilizing a combined remote-sensing, in situ, and model perspective based on a specific case study.

Study Configuration

• Spatial Scale: Swiss Plateau, Switzerland (case study).
• Temporal Scale: 8 January 2024 (single event).

Methodology and Data

• Models used: Not explicitly named in the provided text, but a "model perspective" was included in the comprehensive approach.
• Data sources: Combined remote-sensing techniques (including fall streak tracking, radar Doppler peak separation, dual-wavelength radar applications, liquid detection retrieval, riming retrieval, and ice crystals shape retrieval) and in situ observations.

Main Results

• A large portion of ice mass was rimed, attributed to the persistent coexistence of falling ice crystals and supercooled water within low-level supercooled liquid water layers.
• Interaction of seeder and feeder clouds results in a significant precipitation enhancement.
• An estimated 20% to 40% of the surface precipitation stemmed from the feeder cloud, derived from the anti-correlation between surface precipitation and liquid water path, noting this value's dependency on the assumed liquid water reproduction rate.

Contributions

• Provides a comprehensive and unprecedentedly detailed overview of a seeder-feeder event by exploiting a large set of advanced remote-sensing and in situ retrievals.
• Demonstrates how an improved understanding of seeder-feeder interactions can contribute to enhancing weather forecast models, particularly in regions affected by persistent low-level supercooled stratus clouds.
• Offers a consistent view on the seeder-feeder case study, establishing an important basis for future studies and implications for the water cycle.

Funding

[Not explicitly mentioned in the provided text.]

Citation

@article{Ohneiser2025Impact,
  author = {Ohneiser, Kevin and Seifert, Patric and Schimmel, Willi and Senf, Fabian and Gaudek, Tom and Radenz, Martin and Teisseire, Audrey and Ettrichrätz, Veronika and Vogl, Teresa and Maherndl, Nina and Pfeifer, Nils and Henneberger, Jan and Miller, Anna J. and Omanovic, Nadja and Fuchs, Christopher and Zhang, Huiying and Ramelli, Fabiola and Spirig, Robert and Kötsche, Anton and Kalesse-Los, Heike and al., et.},
  title = {Impact of seeder-feeder cloud interaction on precipitation formation: a case study based on extensive remote-sensing, in situ and model data},
  journal = {Repository for Publications and Research Data (ETH Zurich)},
  year = {2025},
  doi = {10.3929/ethz-c-000789598},
  url = {https://doi.org/10.3929/ethz-c-000789598}
}