Necker Tobias

Tobias NECKER
Dr. M.Sc.

tobias.necker(at)univie.ac.at

Josef-Holaubek-Platz 2 (UZA II), 1090 Vienna
Roomnumber: 2G504
Phone: +43-1-4277-537 14

© Tobias Necker

Curriculum vitae

03/2020 - 05/2024: Visiting Scientist at RIKEN (R-CCS, Kobe, Japan)
02/2020 - 04/2024: Postdoctoral Researcher at University of Vienna
08/2019 - 12/2019: Postdoctoral Researcher at Ludwig-Maximilians-University Munich
06/2015 - 07/2019: PhD at Ludwig-Maximilians-University Munich
Hans-Ertel-Zentrum (HErZ) for Weather Research, Data Assimilation Branch
10/2012 - 03/2015: M.Sc. in Meteorology at Ludwig-Maximilians-University Munich
10/2008 - 09/2012: B.Sc. in Physics plus minor in Meteorology at Ludwig-Maximilians-University Munich

Stays Abroad

01/2019 - 02/2019: RIKEN Student Trainee (R-CCS, Kobe, Japan)
06/2018 - 07/2018: RIKEN Student Trainee (R-CCS, Kobe, Japan)
11/2015 - 01/2016: COSMO Activity / Intern at MeteoSwiss (Zurich, Switzerland)

Research Interests

Data assimilation
Numerical weather prediction
Large ensembles, sampling errors and localization
Impact of observations in numerical weather prediction
Probabilistic forecasting
Verification methods
Machine Learning
Satellite data assimilation

Teaching

University Calendar

Activities

Organizing Committee of International Symposium on Data Assimilation - Online (Homepage)
Collaboration with Data Assimilation Research Team at RIKEN, Japan (Homepage)
Collaboration with HErZ at University Bonn/Cologne (Homepage)

Links

Recent Publications

Necker, T, Wolfgruber, L, Kugler, L , Weissmann, M , Dorninger, M & Serafin, S 2023, 'The fractions skill score for ensemble forecast verification', Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.22541/au.169169008.89657659/v1

Griewank, PJ , 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, vol. 149, no. 754, pp. 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, vol. 30, no. 1, pp. 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, vol. 149, no. 750, pp. 192-210. https://doi.org/10.1002/qj.4402

Craig, GC, 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, vol. 148, no. 746, pp. 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, vol. 146, no. 728, pp. 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, vol. 148, no. 3, pp. 1229–1249. https://doi.org/10.1175/MWR-D-19-0154.1