Strauss, L., Serafin, S., & Dorninger, M. (2022). Probability forecasts of ice accretion on wind turbines derived from multiphysics and neighbourhood ensembles. Quarterly Journal of the Royal Meteorological Society, 148(746), 2446-2467. https://doi.org/10.1002/qj.4311

Salmi, M., Marsigli, C., & Dorninger, M. (2022). Predictability analysis and skillful scale verification of the Lightning Potential Index (LPI) in the COSMO-D2 high resolution ensemble system. Advances in Science and Research, 19, 29-38. https://doi.org/10.5194/asr-19-29-2022

Dorninger, M., & Marth, S. (2022). Meteorologische Aspekte der atypischen saisonalen Blitzverteilung am Sendemast auf dem Gaisberg. Elektrotechnik und Informationstechnik, 139(3), 361-367. https://doi.org/10.1007/s00502-022-01033-0

Casati, B., Dorninger, M., Coelho, C. A. S., Ebert, E. E., Marsigli, C., Mittermaier, M. P., & Gilleland, E. (2022). The 2020 International Verification Methods Workshop Online: Major Outcomes and Way Forward. Bulletin of the American Meteorological Society, 103(3), E899-E910. https://doi.org/10.1175/BAMS-D-21-0126.1

Novoselov, A., Dorninger, M., Diendorfer, G., Bokelmann, G., & AlpArray Working Group (2022). Seismoacoustic Study of Thunder and Lightning Using the AlpArray. SEISMOLOGICAL RESEARCH LETTERS, 93(6), 3404–3421. https://doi.org/10.1785/0220220064

Marsigli, C., Ebert, E., Ashrit, R., Casati, B., Chen, J., Coelho, C., Dorninger, M., Gilleland, E., Haiden, T., Landman, S., & Mittermaier, M. P. (2021). Review article: Observations for high-impact weather and their use in verification. Natural Hazards and Earth System Sciences, 21(4), 1297–1312. https://doi.org/10.5194/nhess-21-1297-2021

Strauss, L., Serafin, S., & Dorninger, M. (2020). Skill and Potential Economic Value of Forecasts of Ice Accretion on Wind Turbines. Journal of Applied Meteorology and Climatology, 59(11), 1845–1864. https://doi.org/10.1175/JAMC-D-20-0025.1

Dorninger, M., Ghelli, A., & Lerch, S. (2020). Editorial: Recent developments and application examples on forecast verification. Meteorological Applications, 27(4), [e1934]. https://doi.org/10.1002/met.1934

Gilleland, E., Skok, G., Brown, B. G., Casati, B., Dorninger, M., Mittermaier, M. P., Roberts, N., & Wilson, L. J. (2020). A novel set of geometric verification test fields with application to distance measures. Monthly Weather Review, 148(4), 1653-1673. https://doi.org/10.1175/MWR-D-19-0256.1

Serafin, S., Strauss, L., & Dorninger, M. (2019). Ensemble reduction using cluster analysis. Quarterly Journal of the Royal Meteorological Society, 145(719), 659-674. https://doi.org/10.1002/qj.3458

Strauss, L., Serafin, S., & Dorninger, M. (2019). Very uncertain observations - Exploring the Impact of observational uncertainty on the skill of icing forecasts. EMS Annual Meeting Abstracts, 16.

Dorninger, M., Friederichs, P., Wahl, S., Mittermaier, M. P., Marsigli, C., & Brown, B. G. (2018). Editorial: Forecast verification methods across time and space scales - Part I. Meteorologische Zeitschrift, 27(6), 433-434. https://doi.org/10.1127/metz/2018/0955

Schneider, F. M., Fuchs, F., Kolinsky, P., Caffagni, E., Serafin, S., Dorninger, M., Bokelmann, G., & AlpArray Working Group (2018). Seismo-acoustic signals of the Baumgarten (Austria) gas explosion detected by the AlpArray seismic network. Earth and Planetary Science Letters, 502, 104-114. https://doi.org/10.1016/j.epsl.2018.08.034

Dorninger, M., Gilleland, E., Casati, B., Mittermaier, M. P., Ebert, E. E., Brown, B. G., & Wilson, L. J. (2018). The setup of the MesoVICT project. Bulletin of the American Meteorological Society, 99(9), 1887-1906. https://doi.org/10.1175/BAMS-D-17-0164.1

Dorninger, M., & Kloiber, S. (2017). Verification of forecast ensembles by allowing for observation uncertainties in complex terrain. EMS Annual Meeting Abstracts, 14.