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Dr. Tobias Necker, M.Sc.
Tobias Necker
T: +43-1-4277-53714
https://imgw.univie.ac.at/ueber-uns/mitarbeiterinnen/persoenliche-homepages/necker-tobias/
Summer term 2024
280320 VU Numerical weather forecast
280353 VU Advanced Data Assimilation
450205 KO Meteorology PhD Seminar
Winter term 2023
280337 SE Bachelorseminar
450301 KO Meteorology PhD Seminar
Summer term 2023
280320 VU Numerical weather forecast
280321 VU Fundamentals of weather forecasting
280353 VU Advanced Data Assimilation
280357 SE Paper Club I
450205 SE Doctoral Seminar Meteorology
Necker, T., Wolfgruber, L., Kugler, L., Weissmann, M., Dorninger, M., & Serafin, S. (2023). The fractions skill score for ensemble forecast verification. Manuscript submitted for publication. 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 (Speaker), Tobias Necker (Contributor) & Martin Weißmann (Contributor)

2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Accounting for localization in ensemble network design experiments

Philipp Griewank (Speaker), Martin Weißmann (Contributor) & Tobias Necker (Contributor)

2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Estimating the impact of potential observations via ensem- bles

Philipp Griewank (Speaker), Tobias Necker (Contributor) & Martin Weißmann (Contributor)

2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Using ensemble sensitivities to estimate the benefit of wind lidars

Philipp Griewank (Speaker), Tobias Necker (Contributor) & Martin Weißmann (Contributor)

2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Department of Meteorology and Geophysics

Josef-Holaubek-Platz 2 (UZA II)
1090 Wien
Room: 2G504

T: +43-1-4277-53714

tobias.necker@univie.ac.at