Dr. Tobias Necker, M.Sc.
T: +43-1-4277-53714
Sommersemester 2024
280320 VU Numerische Wettervorhersage
280353 VU Advanced Data Assimilation
450205 KO Meteorology PhD Seminar
Wintersemester 2023
280337 SE Bachelorseminar
450301 KO Meteorology PhD Seminar
Sommersemester 2023
280320 VU Numerische Wettervorhersage
280321 VU Grundlagen der Wettervorhersage
280353 VU Advanced Data Assimilation
280357 SE Paper Club I
450205 SE Doktorand*innenseminar Meteorologie
Necker, T., Wolfgruber, L., Kugler, L., Weissmann, M., Dorninger, M., & Serafin, S. (2023). The fractions skill score for ensemble forecast verification. Manuskript zur Veröffentlichung eingereicht. https://doi.org/10.22541/au.169169008.89657659/v1
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
Craig, G. C., Puh, M., Keil, C., Tempest, K., Necker, T., Ruiz , J., Weissmann, M., & Miyoshi, T. (2022). Distributions and convergence of forecast variables in a 1000 member convection-permitting ensemble. Quarterly Journal of the Royal Meteorological Society, 148(746), 2325-2343. https://doi.org/10.1002/qj.4305
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
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
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: +43-1-4277-53714