Dr. Annette Miltenberger



Institute for Atmospheric Physics

05-143 (522)

Johannes Gutenberg University Mainz
Becherweg 21

55099 Mainz

phone: +49-(0)6131-39-24127

Research Interests

  • cloud microphyscis of mixed- and ice-phase clouds
  • coupling of cloud microphysics and atmospheric dynamics
  • impact of aerosol-cloud interactions on weather and climate predictions
  • representation of uncertainties in weather and climate modelling
  • Lagrangian analysis methods
  • foehn flow

Research Projects

The Tropopause Region in a changing atmosphere (TPChange >>)

  • Project B8 : "Lagrangian analysis of the role of extratropical cyclones for UTLS aerosol and humidity"

Big Data in Atmospheric Physics (BINARY) >>

Waves to Weather (W2W >>)

  • Project B1 : "Microphysical uncertainties in hailstorms using statistical emulation and stochastic cloud physics" >>
  • Project B8 : "Role of uncertainty in ice microphysical processes in warm conveyor belts" >>

ACPC initiative

  • deep convection working group >>

Mainz Institute of Multiscale Modeling (M3ODEL) >>


submitted / under review

  • Oertel, A., Miltenberger, A. K., Grams, C. M., and C. Hoose (2023). Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model. EGUsphere, doi:10.5194/egusphere-2023-259.


  • Field, P. R., Hill, A., Shipway, B., Furtado, K., Wilkinson, J., Miltenberger, A., Gordon, H., Grosvenor, D. P., Stevens, R., and K. Van Weverberg (2023). Implementation of a double moment cloud microphysics in UK Met Office regional Numerical Weather Prediction. Q. J. R. Meteorol. Soc., doi:10.1002/qj.4414.
  • Sullivan, S., Voigt, A., Miltenberger, A., Rolf, C., and M. Krämer (2022). A Lagrangian Perspective of Microphysical Impact on Ice Cloud Evolution and Radiative Heating. J. Adv. Model. Earth Sys., 14, e2022MS003226, doi:10.1029/2022MS003226.
  • Hieronymus, M., Baumgartner, M., Miltenberger, A., and A. Brinkmann (2022). Algorithmic differentiation for sensitivity analysis in cloud microphysics. J. Adv. Model. Earth Sys., 14, e2021MS002849, doi:10.1029/2021MS002849.
  • Niebler, S., Miltenberger, A., Schmidt, B., and P. Spichtinger (2022). Automated detection and classification of synoptic scale front from atmospheric data grids. Weather Clim. Dynam., 3, 113-137, doi:10.5194/wcd-3-113-2022.
  • Hawker, R. E., Miltenberger, A. K., Johnson, J. S., Wilkinson, J. M., Hill, A. A., Shipway, B. J.,   Field, P. R., Murray, B. J., and Ken S. Carslaw (2021). Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus. Atmos. Chem. Phys., 21, 17315-17343, doi:10.5194/acp-21-17315-2021.
  • Craig, G. C., Fink, A. H., Hoose, C., Janjic, T., Knippertz, P., Laurian, A., Lerch, S., Mayer, B., Miltenberger, A., Redl, R., Riemer, R., Tempest, K. I., and V. Wirth (2021). Waves to Weather: Exploring the limits of predictability of weather. Bull. Amer. Meteorol. Soc.doi:10.1175/BAMS-D-20-0035.1.
  • Hawker, R. E, Miltenberger, A. K., Wilkinson, J. M., Hill, A. A., Shipway, B. J., Cui, Z., Cotton, R. J., Carslaw, K. S., Field, P. R., and B. J. Murray (2021). The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems. Atmos. Chem. Phys., 21, 5439-5461, doi:10.5194/acp-21-5439-2021.
  • 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., 21, 3627-3642, doi:10.5194/acp-21-3627-2021.
  • Marinescu, P. J., van den Heever, S. C., Heikenfeld, M., Barrett, A. I., Barthlott, C., Hoose, C., Fan, J., Fridlind, A. M., Matsui, T., Miltenberger, A. K., Stier, P., Vié, B., White, B. A., and Y. Zhang (2021). Impacts of varying cloud condensation nuclei on deep convective cloud updrafts - A multimodel assessment. J. Atmos. Sci., doi:10.1175/JAS-D-20-0200.1.
  • Miltenberger, A. K., Field, P. R., Hill, A. A., and A. J. Heymsfield (2020). Vertical redistribution of moisture and aerosol in orographic mixed-phase clouds. Atmos. Chem. Phys., 20, 7979-8001, doi:10.5194/acp-20-7979-2020.
  • Miltenberger, A K., Lüttmer, T., and C. Siewert (2020). Secondary ice formation in idealised deep convection — source of primary ice and impact on glaciation. Atmosphere, doi:10.3390/atmos11050542.
  • Gordon, H., Field, P. R., Abel, S. J., Johnson, B. T., Dalvi, M., Grosvenor, D. P., Hill, A. A., Miltenberger, A. K., Yoshioka, M., and K. S. Carslaw (2018). Large simulated radiative effects of smoke in the south-east Atlantic. Atmos. Chem. Phys., 18, 15261-15289, doi:10.5194/acp-18-15261-2018.
  • Miltenberger, A. K., Field, P. R., Hill, A. A.,, Shipway, B. J., and J. M. Wilkinson (2018). Aerosol-cloud interactions in mixed-phase convective clouds. Part 2: Meteorological ensemble. Atmos. Chem. Phys., 18, 10593-10613, doi:10.5194/acp-18-10593-2018.
  • Vergara-Temprado, J., Miltenberger, A., Furtado, K., Grosvenor, D., Shipway, B. J., Hill, A. A., Wilkinson, J. M., Field, P. R., Murray, B. J., and K. S. Carslaw (2018). Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles. PNAS, 115, 2687-2692, doi:10.1073/pnas.1721627115.
  • Miltenberger, A. K., Field, P. R., Hill, A. A., Rosenberg, P., Shipway, B. J., Wilkinson, J. M., Scovell, R., and A. M. Blyth (2018). Aerosol-cloud interactions in mixed-phase convective clouds. Part 1: Aerosol perturbations. Atmos. Chem. Phys.,18, 3119-3145, doi:10.5194/acp-18-3119-2018.
  • Price, H. C., Baustian, K. J., McQuaid, J. B., Blyth, A., Carslaw, K., Choularton, T., Cotton, R. J., Cui, Z., Field, P., Hawker, R., Merrington, A., Miltenberger, A. K., Neely III, R., Parker S., Rosenberg, P. D., Taylor, J., Trembath, J., Vergara-Temprado, J., Whale, T. F., Wilson, T. W., and B. J. Murray (2018). Atmospheric ice-nucleating particles in the dusty tropical Atlantic. J. Geophys. Res., 123, 2175-2193, doi:10.1002/2017JD027560.
  • Lebo, Z. J., Shipway, B. J., Fan, J., Geresdi, I., Hill, A., Miltenberger, A., Morrison, H., Rosenberg, P., Varble, A., and L. Xue (2017). Challenges for cloud modeling in the context of aerosol-cloud- precipitation interactions. Bull. Amer. Meteor. Soc., 98, 1749-1755, doi:10.1175/BAMS-D-16-0291.1.
  • Field, P., Lawson, R., Brown, P., Lloyd, G., Westbrook, C., Moisseev, D., Miltenberger, A., Nenes, A., Blyth, A., Choularton, T., Connolly, P., Buehl, J., Crosier, J., Cui, Z., Dearden, C., DeMott, P., Flossmann, A., Heymsfield, A., Huang, Y., Kalesse, H., Kanji, Z., Korolev, A., Kirchgaessner, A., Lasher-Trapp, S., Leisner, T., McFarquhar, G., Phillips, V., Stith, J., and S. Sullivan (2017). Chapter 7. Secondary Ice Production - current state of the science and recommendations for the future. Meteorological Monographs, 58, 7.1-7.20, doi:10.1175/AMSMONOGRAPHS-D-16-0014.1.
  • Wernli, H., Böttcher, M., Joos, H., Miltenberger, A., and P. Spichtinger (2016). A trajectory-based classification of ERA-Interim ice clouds in the region of the North Atlantic storm track. Geophys. Res. Lett., 43, pp.6657-6664, doi:10.1002/2016GL068922.
  • Miltenberger, A. K., Sprenger, M. and S. Reynolds (2016). Revisiting the latent heating contribution to foehn air warming - Lagrangian analysis of two foehn events over the Swiss Alps. Q. J. R. Meteorol. Soc., 142, 2194-2204, doi:10.1002/qj.2816.
  • Kienast-Sjögren, E., Miltenberger, A. K., Luo. B. P., and T. Peter (2015). Sensitivities of Lagrangian modeling of mid-latitude cirrus clouds to trajectory data quality. Atmos. Chem. Phys., 15, 7429-7447, doi:10.5194/acp-15-7429-2015.
  • Miltenberger, A. K., Seifert, A., Joos, H., and H. Wernli (2015). A scaling relation for warm-phase orographic precipitation - A Lagrangian analysis for 2D mountains. Q. J. R. Meteorol. Soc. 141, 2185-2198, doi:10.1002/qj.2514.
  • Miltenberger, A. K., Pfahl, S., and H. Wernli (2013). An online trajectory module (version 1.0) for the non-hydrostatic numerical weather prediction model COSMO. Geosci. Model Dev. 6, 1989-2004, doi:10.5194/gmd-6-1989-2013.


  • Miltenberger, A. K. (2014). Lagrangian perspective on dynamic and microphysical processes in orographically forced flows. PhD thesis, ETH Zurich, No 22227, 291 pp, doi:10.3929/ethz-a-010406950.
  • Miltenberger, A. K., Roches, A., Pfahl, S., and H. Wernli (2014). Online Trajectory Module in COSMO - A short user guide. Technical Report 24, COSMO Consortium. >>
  • Miltenberger, A. K., Pfahl, S., Roches, A., and H. Wernli (2014). An Online Trajectory Module for the COSMO-model. WGNE Bluebook 2014.


since FS2019 Journal Club >>
WS2022/2023 Lecturer "Clouds and Aerosols I"
WS2020/2021 Lecturer "Clouds and Aerosols I"
FS2020 Lecturer "Anwendung von Modellen / Modellierung mit partiellen Differentialgleichungen"
WS2019/2020 Teaching assistant "Modellbildung" (Prof. Spichtinger)
FS2019 Teaching assistant "Anwendung von Modellen" (Prof. Spichtinger)