Publikationen
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Pepin, N. C., Arnone, E., Gobiet, A., Haslinger, K., Kotlarski, S., Notarnicola, C., Palazzi, E., Seibert, P., Serafin, S., Schöner, W., Terzago, S., Thornton, J. M., Vuille, M., & Adler, C. (2022). Climate changes and their elevational patterns in the mountains of the world. Reviews of Geophysics, 60(1), [e2020RG000730]. https://doi.org/10.1029/2020RG000730
Griewank, P. J., Heus, T., & Neggers, R. A. J. (2022). Size‐Dependent Characteristics of Surface‐Rooted Three‐Dimensional Convective Objects in Continental Shallow Cumulus Simulations. Journal of Advances in Modeling Earth Systems, 14(3), [e2021MS002612]. https://doi.org/10.1029/2021MS002612
Göbel, M., Serafin, S., & Rotach, M. W. (2022). Numerically consistent budgets of potential temperature, momentum, and moisture in Cartesian coordinates: application to the WRF model. Geoscientific Model Development, 15(2), 669-681. https://doi.org/10.5194/gmd-15-669-2022
Geiss, S., Scheck, L., de Lozar, A., & Weissmann, M. (2021). Understanding the model representation of clouds based on visible and infrared satellite observations. Atmospheric Chemistry and Physics, 21(16), 12273-12290. https://doi.org/10.5194/acp-21-12273-2021
Martin, A., Weissmann, M., Reitebuch, O., Rennie, M., Geiss, A., & Cress, A. (2021). Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents. Atmospheric Measurement Techniques, 14(3), 2167-2183. https://doi.org/10.5194/amt-14-2167-2021
Neggers, R. A. J., & Griewank, P. J. (2021). A Binomial Stochastic Framework for Efficiently Modeling Discrete Statistics of Convective Populations. Journal of Advances in Modeling Earth Systems, 13(3), [e2020MS002229]. https://doi.org/10.1029/2020MS002229
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
Schröttle, J., Weissmann, M., Scheck, L., & Hutt, A. (2020). Assimilating visible and infrared radiances in idealized simulations of deep convection. Monthly Weather Review, 148(11), 4357-4375. https://doi.org/10.1175/MWR-D-20-0002.1
Scheck, L., Weissmann, M., & Bach, L. (2020). Assimilating visible satellite images for convective‐scale numerical weather prediction: A case‐study. Quarterly Journal of the Royal Meteorological Society, 146(732), 3165-3186. https://doi.org/10.1002/qj.3840
Necker, T., Geiss, S., Weissmann, M., Ruiz , J., Miyoshi, T., & Lien, GY. (2020). A convective‐scale 1,000‐member ensemble simulation and potential applications. Quarterly Journal of the Royal Meteorological Society, 146(728), 1423-1442. https://doi.org/10.1002/qj.3744
Hutt, A., Schraff, C., Anlauf, H., Bach, L., Baldauf, M., Bauernschubert, E., Cress, A., Faulwetter, R., Fundel, F., Köpken-Watts, C., Reich, H., Schomburg, A., Schröttle, J., Stephan, K., Stiller, O., Weissmann, M., & Potthast, R. (2020). Assimilation of SEVIRI Water Vapor Channels With an Ensemble Kalman Filter on the Convective Scale. Frontiers in Earth Science, 8, [70]. https://doi.org/10.3389/feart.2020.00070
Necker, T., Weissmann, M., Ruckstuhl, Y., Anderson, J., & Miyoshi, T. (2020). Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble. Monthly Weather Review, 148(3), 1229–1249. https://doi.org/10.1175/MWR-D-19-0154.1
Schindler, M., Weissmann, M., Schäfler, A., & Radnoti, G. (2020). The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016. Monthly Weather Review, 148(2), 809-824. https://doi.org/10.1175/MWR-D-19-0126.1
Bachmann, K., Weissmann, M., Keil, C., Craig, G. C., & Welzbacher, C. A. (2020). Predictability of Deep Convection in Idealized and Operational Forecasts: Effects of Radar Data Assimilation, Orography, and Synoptic Weather Regime. Monthly Weather Review, 148(1), 63-81. https://doi.org/10.1175/MWR-D-19-0045.1
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