Dr. Philipp Griewank
T: +43-1-4277-53778
Sommersemester 2024
280320 VU Numerische Wettervorhersage
280321 VU Grundlagen der Wettervorhersage
280325 SE Bachelorseminar
280353 VU Advanced Data Assimilation
Wintersemester 2023
280337 SE Bachelorseminar
280344 SE PM-Bach SE Bachelorseminar 1
Sommersemester 2023
280320 VU Numerische Wettervorhersage
280321 VU Grundlagen der Wettervorhersage
280325 SE Bachelorseminar
280337 SE Bachelorseminar 2
280353 VU Advanced Data Assimilation
Davy, R., & Griewank, P. (2023). Arctic amplification has already peaked. Environmental Research Letters, 18(8), [084003]. https://doi.org/10.1088/1748-9326/ace273
Griewank, P. J., Weissmann, M., Necker, T., Nomokonova, T., & Löhnert, U. (2023). Ensemble‐based estimates of the impact of potential observations. Quarterly Journal of the Royal Meteorological Society, 149(754), 1546-1571. https://doi.org/10.1002/qj.4464
Necker, T., Hinger, D., Griewank, P., Miyoshi, T., & Weissmann, M. (2023). Guidance on how to improve vertical covariance localization based on a 1000-member ensemble. Nonlinear Processes in Geophysics, 30(1), 13-29. https://doi.org/10.5194/npg-30-13-2023
Nomokonova, T., Griewank, P., Loehnert, U., Miyoshi, T., Necker, T., & Weissmann, M. (2023). Estimating the benefit of Doppler wind lidars for short-term low-level wind ensemble forecasts. Quarterly Journal of the Royal Meteorological Society, 149(750), 192-210. https://doi.org/10.1002/qj.4402
Neggers, R., & Griewank, P. J. (2022). A decentralized approach for modeling organized convection based on thermal populations on microgrids. Journal of Advances in Modeling Earth Systems, 14(10), [e2022MS003042]. https://doi.org/10.1002/essoar.10510525.1, https://doi.org/10.1029/2022MS003042
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
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
Accounting for localization in ensemble network design experiments
Philipp Griewank (Vortragende*r), Tobias Necker (Autor*in) & Martin Weißmann (Autor*in)
2022
Aktivität: Vorträge › Vortrag › Science to Science
Accounting for localization in ensemble network design experiments
Philipp Griewank (Vortragende*r), Martin Weißmann (Autor*in) & Tobias Necker (Autor*in)
2022
Aktivität: Vorträge › Vortrag › Science to Science
Estimating the impact of potential observations via ensem- bles
Philipp Griewank (Vortragende*r), Tobias Necker (Autor*in) & Martin Weißmann (Autor*in)
2022
Aktivität: Vorträge › Vortrag › Science to Science
Using ensemble sensitivities to estimate the benefit of wind lidars
Philipp Griewank (Vortragende*r), Tobias Necker (Autor*in) & Martin Weißmann (Autor*in)
2022
Aktivität: Vorträge › Vortrag › Science to Science
Institut für Meteorologie und Geophysik
Josef-Holaubek-Platz 2 (UZA II)
1090 Wien
Zimmer: 2G504
T: +43-1-4277-53778