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publications [2023/09/11 12:30] – potthast | publications [2023/12/09 11:36] – [2023] potthast |
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==== 2023 ==== | ==== 2023 ==== |
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* Dan Crisan, Oana Lang, Alexander Lobbe, Peter Jan Van Leeuwen and Roland Potthast, Noise calibration for the stochastic rotating shallow water model, acceted, [[https://arxiv.org/abs/2305.03548]] | * Amalia Iriza Burca, Rodica C. Dumitrache, Bogdan A. Maco, Mihaita Hustiu, Felix Fundel, Daniel Rieger, Roland Potthast: Comparison of COSMO and ICON-LAM High-resolution Numerical Forecast for Romanian Territory: Case Studies and Evaluation, Atmosfera 2023, accepted for publication. |
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| * Dan Crisan, Oana Lang, Alexander Lobbe, Peter Jan Van Leeuwen and Roland Potthast, Noise calibration for the stochastic rotating shallow water model, Foundations of Data Science, accepted, [[https://arxiv.org/abs/2305.03548]] |
* Baur, F., Scheck, L., Stumpf, C., Köpken-Watts, C., and Potthast, R.: A neural network-based method for generating synthetic 1.6 μm near-infrared satellite images, EGUsphere accepted, [[https://doi.org/10.5194/egusphere-2023-353]], 2023. | * Baur, F., Scheck, L., Stumpf, C., Köpken-Watts, C., and Potthast, R.: A neural network-based method for generating synthetic 1.6 μm near-infrared satellite images, EGUsphere accepted, [[https://doi.org/10.5194/egusphere-2023-353]], 2023. |
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