Publikationen

Publikationen

Necker, T., Wolfgruber, L., Kugler, L., Weissmann, M., Dorninger, M., & Serafin, S. (2024). The fractions skill score for ensemble forecast verification. Quarterly Journal of the Royal Meteorological Society, 150(764), 4457-4477. https://doi.org/10.1002/qj.4824

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

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

Schneider, F. M., Fuchs, F., Kolinsky, P., Caffagni, E., Dorninger, M., Serafin, S., Bokelmann, G., & AlpArray Working Group (2018). Seismo-acoustic signals of the Baumgarten (Austria) gas explosion detected by the AlpArray seismic network. 78. Jahrestagung der DGG, Leoben, 2018, Leoben, Österreich.

Lehner, M., Whiteman, C. D., & Dorninger, M. (2017). Inversion Build-Up and Cold-Air Outflow in a Small Alpine Sinkhole. Boundary-Layer Meteorology, 163(3), 497–522. https://doi.org/10.1007/s10546-017-0232-7

Dorninger, M., & Kloiber, S. (2017). Verification of forecast ensembles in complex terrain including observation uncertainty. Geophysical Research Abstracts, 19, [13580].

Kumer, V. M., Reuder, J., Dorninger, M., Zauner, R., & Grubisic, V. (2016). Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications. Renewable Energy, 99, 898-910. https://doi.org/10.1016/j.renene.2016.07.014

Dorninger, M. (2016). Topografische und meteorologische Faktoren extrem tiefer Temperaturminima in Kaltluftseen. Promet - Meteorologische Fortbildung, 98, 43-58.

Dorninger, M. (2016). Towards a new tool of wind speed and wind direction verification. Geophysical Research Abstracts, 18, 12483.

Ebert, E., Brown, B., Chen, J., Coelho, C., Dorninger, M., Göber, M., Mittermaier, M., Nurmi, P., Wilson, L., & Zhu, Y. (2015). Numerical prediction of the earth system: cross-cutting research on verification techniques. in Seamless prediction of the earth system: from minutes to months (S. 403-418). [21] Eigenverlag World Meteorological Organisation (WMO).