Articles | Volume 3, issue 2
Weather Clim. Dynam., 3, 679–692, 2022
https://doi.org/10.5194/wcd-3-679-2022
Weather Clim. Dynam., 3, 679–692, 2022
https://doi.org/10.5194/wcd-3-679-2022
Research article
23 Jun 2022
Research article | 23 Jun 2022

Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models

Chen Schwartz et al.

Data sets

The Subseasonal to Seasonal (S2S) Prediction Project Database (http://apps.ecmwf.int/datasets/data/s2s/levtype=sfc/type=cf/.) F. Vitart, C. Ardilouze, A. Bonet, A. Brookshaw, M. Chen, C. Codorean, M. Déqué, L. Ferranti, E. Fucile, M. Fuentes, H. Hendon, J. Hodgson, H.-S. Kang, A. Kumar, H. Lin, G. Liu, X. Liu, P. Malguzzi, I. Mallas, M. Manoussakis, D. Mastrangelo, C. MacLachlan, P. McLean, A. Minami, R. Mladek, T. Nakazawa, S. Najm, Y. Nie, M. Rixen, A. W. Robertson, P. Ruti, C. Sun, Y. Takaya, M. Tolstykh, F. Venuti, D. Waliser, S. Woolnough, T. Wu, D.-J. Won, H. Xiao, R. Zaripov, and L. Zhang https://doi.org/10.1175/BAMS-D-16-0017.1

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Short summary
Eleven operational forecast models that run on subseasonal timescales (up to 2 months) are examined to assess errors in their simulated large-scale stationary waves in the Northern Hemisphere winter. We found that models with a more finely resolved stratosphere generally do better in simulating the waves in both the stratosphere (10–50 km) and troposphere below. Moreover, a connection exists between errors in simulated time-mean convection in tropical regions and errors in the simulated waves.