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Dr. Philipp Griewank
Philipp Griewank
T: +43-1-4277-53778
https://img.univie.ac.at/ueber-uns/mitarbeiterinnen/persoenliche-homepages/griewank-philipp/
Wintersemester 2025
280337 SE Bachelorseminar
280352 VU Data Assimilation and Ensemble Methods
Sommersemester 2025
280321 VU Grundlagen der Wettervorhersage
280325 SE Bachelorseminar
280353 VU Advanced Data Assimilation
Wintersemester 2024
280337 SE Bachelorseminar
Davy, R., & Griewank, P. (2023). Arctic amplification has already peaked. Environmental Research Letters, 18(8), Artikel 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), Artikel 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), Artikel 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), Artikel e2020MS002229. https://doi.org/10.1029/2020MS002229

Testing ensemble-based estimates of potential observation impact

Philipp Griewank (Vortragende*r), Tobias Necker (Autor*in) & Martin Weißmann (Autor*in)

2024

Aktivität: Vorträge › Vortrag › Science to Science

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

philipp.griewank@univie.ac.at