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Teresa Vogl
ORCID • E-Mail • ResearchGate
CV
Publications
2022
Vogl, T., M. Maahn, S. Kneifel, W. Schimmel, D. Moisseev, and H. Kalesse, 2022: Using artificial neural networks to predict riming from Doppler cloud radar observations. Atmos. Meas. Tech., https://doi.org/10.5194/amt-2021-137
2021
Vogl, T., Hrdina, A., and Thomas, C. K., 2021: Choosing an optimal β factor for relaxed eddy accumulation applications across vegetated and non-vegetated surfaces. Biogeosciences, 18, 5097–5115, https://doi.org/10.5194/bg-18-5097-2021
Trömel, S. and Simmer, C. and Blahak, U. and Blanke, A. and Doktorowski, S. and Ewald, F. and Frech, M. and Gergely, M. and Hagen, M. and Janjic, T. and Kalesse-Los, H. and Kneifel, S. and Knote, C. and Mendrok, J. and Moser, M. and Köcher, G. and Mühlbauer, K. and Myagkov, A. and Pejcic, V. and Seifert, P. and Shrestha, P. and Teisseire, A. and von Terzi, L. and Tetoni, E. and Vogl, T. and Voigt, C. and Zeng, Y. and Zinner, T. and Quaas, J.: Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes, Atmos. Chem. Phys., https://doi.org/10.5194/acp-21-17291-2021, 2021.