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Tobias Necker
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A convective‐scale 1,000‐member ensemble simulation and potential applications
T Necker, S Geiss, M Weissmann, J Ruiz, T Miyoshi, GY Lien
Quarterly Journal of the Royal Meteorological Society 146 (728), 1423-1442, 2020
442020
The importance of appropriate verification metrics for the assessment of observation impact in a convection‐permitting modelling system
T Necker, M Weissmann, M Sommer
Quarterly Journal of the Royal Meteorological Society 144 (714), 1667-1680, 2018
332018
Sampling error correction evaluated using a convective-scale 1000-member ensemble
T Necker, M Weissmann, Y Ruckstuhl, J Anderson, T Miyoshi
Monthly Weather Review 148 (3), 1229-1249, 2020
272020
Distributions and convergence of forecast variables in a 1,000‐member convection‐permitting ensemble
GC Craig, M Puh, C Keil, K Tempest, T Necker, J Ruiz, M Weissmann, ...
Quarterly Journal of the Royal Meteorological Society 148 (746), 2325-2343, 2022
102022
Estimating the benefit of Doppler wind lidars for short‐term low‐level wind ensemble forecasts
T Nomokonova, PJ Griewank, U Löhnert, T Miyoshi, T Necker, ...
Quarterly Journal of the Royal Meteorological Society 149 (750), 192-210, 2023
52023
Guidance on how to improve vertical covariance localization based on a 1000-member ensemble
T Necker, D Hinger, PJ Griewank, T Miyoshi, M Weissmann
Nonlinear Processes in Geophysics 30 (1), 13-29, 2023
42023
Ensemble‐based estimates of the impact of potential observations
PJ Griewank, M Weissmann, T Necker, T Nomokonova, U Löhnert
Quarterly Journal of the Royal Meteorological Society 149 (754), 1546-1571, 2023
32023
The fractions skill score for ensemble forecast verification
T Necker, L Wolfgruber, L Kugler, M Weissmann, M Dorninger, S Serafin
Authorea Preprints, 2024
12024
The impact of observations in convective-scale numerical weather prediction
T Necker
lmu, 2019
12019
Optimal blending of ensemble forecasts for probabilistic precipitation nowcasting
M Weissmann, S Köhldorfer, T Necker, A Kann
EGU24, 2024
2024
Situation-Dependent Localization for All-Sky Satellite Observations
T Necker, T Honda, P Griewank, T Miyoshi, M Weissmann
EGU24, 2024
2024
The fractions skill score for ensemble forecast verification
L Wolfgruber, T Necker, L Kugler, M Weissmann, M Dorninger, S Serafin
EGU24, 2024
2024
Testing ensemble-based estimates of potential observation impact
P Griewank, T Necker, M Weissmann
EGU24, 2024
2024
How to use the Fractions Skill Score (FSS) for ensemble forecast verification?
T Necker
2023
Ensemble sensitivity localization
PJ Griewank, T Necker, M Weissmann
EGU General Assembly Conference Abstracts, EGU-2827, 2023
2023
Empirical optimal vertical localization derived from large ensembles
T Necker, P Griewank, T Miyoshi, M Weissmann
EGU General Assembly Conference Abstracts, EGU-5506, 2023
2023
Accounting for localization in ensemble network design experiments
P Griewank, U Löhnert, T Necker, T Nomokonova, M Weissmann
EGU General Assembly Conference Abstracts, EGU22-7393, 2022
2022
Guidance on optimal vertical covariance localization based on a convection-permitting 1000-member ensemble
T Necker, D Hinger, M Weissmann, T Miyoshi
EGU General Assembly Conference Abstracts, EGU22-4413, 2022
2022
Observing and Data Assimilation Strategies for Sustainable Energy Applications
T Nomokonova, U Löhnert, T Necker, M Weissmann
101st American Meteorological Society Annual Meeting, 2021
2021
Sampling errors on convective scales: What can we learn from a 1000-member ensemble?
T Necker, M Weissmann, Y Ruckstuhl, J Ruiz, T Miyoshi, J Anderson
EGU2020, 2020
2020
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Artiklar 1–20