Research Interests:
Current research foci are:
- moisture structure of the extratropical transition layer
- moisture transport and potential vorticity anomalies associated with warm-conveyor belts
- moisture budget of and (hail) precipitation generated by supercells
- orographic precipitation
- systematic model biases in operational ensemble forecasting systems
- online-trajectories in the ICON model and applications thereof
- representation of microphysics uncertainty in numerical weather models
Scientific Activities & Service to the Community
| 2023 | W1 professorship, University of Mainz |
| 2021 – 2023 | junior research group leader within M3ODEL and BINARY at JGU Mainz |
| 2018 – 2023 | Research Associate in group of Peter Spichtinger at JGU Mainz |
| 2014 – 2018 | Research Fellow in group of Paul Field at University of Leeds, United Kingdom |
| 2011 – 2014 | Doctoral thesis in group of Heini Wernli at ETH Zurich, Switzerland |
| Guo and Miltenberger (2025). Climatology of warm conveyor belt contributions to UTLS moisture in ERA5 between 2010 and 2019. J. Clim. >> |
| Schwenk, C., et al. (2025). Microphysical Parameter Choices Modulate Ice Content and Relative Humidity in the Outflow of a Warm Conveyor Belt. Atmos. Chem. Phys. >> |
| Emig, N., et al. (2025). Impact of cirrus on extratropical tropopause structure. Atmos. Chem. Phys. >> |
| Hieronymus, M., et al. (2025). Spatio-temporal consistency of cloud-microphysical parameter sensitivity in a warm-conveyor belt. J. Comp. Sci. >> |
| Oertel, A., et al. (2025). Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern – insights from a perturbed parameter ensemble. Q. J. Roy. Meteorol. Soc. >> |
| Schwenk, C., and A. K. Miltenberger (2024). The role of ascent timescales for warm conveyor belt (WCB) moisture transport into the upper troposphere and lower stratosphere (UTLS). Atmos. Chem. Phys. >> |
| Niebler, S. et al. (2022). Automated detection and classification of synoptic scale front from atmospheric data grids. Weather Clim. Dynam. >> |
| Miltenberger, A. K., and P. R. Field (2021). Sensitivity of mixed-phase moderately deep convective clouds to parameterisations of ice formation – An ensemble perspective. Atmos. Chem. Phys. >> |
| Vergara-Temprado, J., et al. (2018). Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles. PNAS >> |
| Miltenberger, A. K., et al. (2013). An online trajectory module (version 1.0) for the non-hydrostatic numerical weather prediction model COSMO. Geosci. Model Dev., doi:10.5194/gmd-6-1989-2013 |
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Journal Club
Instructor: Jun.-Prof. Dr. Annette Miltenberger -
Methodenkenntnis
Instructor: Dr. Heiko Bozem; Univ.-Prof. Dr. Peter Hoor; Dr. Daniel Kunkel; Dr. Franziska Köllner; Jun.-Prof. Dr. Annette Miltenberger; Dr. Philipp Reutter; Dr. Michael Riemer; Dr. Miklos Szakall; Univ.-Prof. Dr. Holger Tost; Prof. Dr. Thomas Wagner; Dr. Ralf Weigel; Univ.-Prof. Dr. Volkmar Wirth -
Projekt Umweltwissenschaften
Instructor: Dr. Heiko Bozem; Univ.-Prof. Dr. Peter Hoor; Dr. Daniel Kunkel; Dr. Franziska Köllner; Jun.-Prof. Dr. Annette Miltenberger; Dr. Philipp Reutter; Dr. Michael Riemer; Univ.-Prof. Dr. Peter Spichtinger; Dr. Miklos Szakall; Univ.-Prof. Dr. Holger Tost; Dr. Ralf Weigel; Univ.-Prof. Dr. Volkmar Wirth
SoSe 2026