Articles | Volume 5, issue 3
https://doi.org/10.5194/wcd-5-927-2024
https://doi.org/10.5194/wcd-5-927-2024
Research article
 | 
19 Jul 2024
Research article |  | 19 Jul 2024

Towards a process-oriented understanding of the impact of stochastic perturbations on the model climate

Moritz Deinhard and Christian M. Grams

Related authors

EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 2: Model application to different datasets
Julian F. Quinting, Christian M. Grams, Annika Oertel, and Moritz Pickl
Geosci. Model Dev., 15, 731–744, https://doi.org/10.5194/gmd-15-731-2022,https://doi.org/10.5194/gmd-15-731-2022, 2022
Short summary

Related subject area

Dynamical processes in midlatitudes
The impact of preceding convection on the development of Medicane Ianos and the sensitivity to sea surface temperature
Claudio Sánchez, Suzanne Gray, Ambrogio Volonté, Florian Pantillon, Ségolène Berthou, and Silvio Davolio
Weather Clim. Dynam., 5, 1429–1455, https://doi.org/10.5194/wcd-5-1429-2024,https://doi.org/10.5194/wcd-5-1429-2024, 2024
Short summary
The importance of diabatic processes for the dynamics of synoptic-scale extratropical weather systems – a review
Heini Wernli and Suzanne L. Gray
Weather Clim. Dynam., 5, 1299–1408, https://doi.org/10.5194/wcd-5-1299-2024,https://doi.org/10.5194/wcd-5-1299-2024, 2024
Short summary
The impact of synoptic storm likelihood on European subseasonal forecast uncertainty and their modulation by the stratosphere
Philip Rupp, Jonas Spaeth, Hilla Afargan-Gerstman, Dominik Büeler, Michael Sprenger, and Thomas Birner
Weather Clim. Dynam., 5, 1287–1298, https://doi.org/10.5194/wcd-5-1287-2024,https://doi.org/10.5194/wcd-5-1287-2024, 2024
Short summary
Spatio-temporal averaging of jets obscures the reinforcement of baroclinicity by latent heating
Henrik Auestad, Clemens Spensberger, Andrea Marcheggiani, Paulo Ceppi, Thomas Spengler, and Tim Woollings
Weather Clim. Dynam., 5, 1269–1286, https://doi.org/10.5194/wcd-5-1269-2024,https://doi.org/10.5194/wcd-5-1269-2024, 2024
Short summary
Impact of stochastic physics on the representation of atmospheric blocking in EC-Earth3
Michele Filippucci, Simona Bordoni, and Paolo Davini
Weather Clim. Dynam., 5, 1207–1222, https://doi.org/10.5194/wcd-5-1207-2024,https://doi.org/10.5194/wcd-5-1207-2024, 2024
Short summary

Cited articles

Berman, J. D. and Torn, R. D.: The impact of initial condition and warm conveyor belt forecast uncertainty on variability in the downstream waveguide in an ECWMF case study, Mon. Weather Rev., 147, 4071–4089, https://doi.org/10.1175/MWR-D-18-0333.1, 2019. a
Berner, J., Doblas-Reyes, F. J., Palmer, T. N., Shutts, G., and Weisheimer, A.: Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model, Philos. T. R. Soc. A, 366, 2561–2577, https://doi.org/10.1098/rsta.2008.0033, 2008. a
Berner, J., Jung, T., and Palmer, T. N.: Systematic model error: The impact of increased horizontal resolution versus improved stochastic and deterministic parameterizations, J. Climate, 25, 4946–4962, https://doi.org/10.1175/JCLI-D-11-00297.1, 2012. a, b, c
Berner, J., Fossell, K. R., Ha, S. Y., Hacker, J. P., and Snyder, C.: Increasing the skill of probabilistic forecasts: Understanding performance improvements from model-error representations, Mon. Weather Rev., 143, 1295–1320, https://doi.org/10.1175/MWR-D-14-00091.1, 2015. a
Berner, J., Achatz, U., Batté, L., Bengtsson, L., De La Cámara, A., Christensen, H. M., Colangeli, M., Coleman, D. R., Crommelin, D., Dolaptchiev, S. I., Franzke, C. L., Friederichs, P., Imkeller, P., Järvinen, H., Juricke, S., Kitsios, V., Lott, F., Lucarini, V., Mahajaajaajan, S., Palmer, T. N., Penland, C., Sakradzijaja, M., Von Storch, J. S., Weisheimer, A., Weniger, M., Williams, P. D., and Yano, J. I.: Stochastic parameterization toward a new view of weather and climate models, B. Am. Meteorol. Soc., 98, 565–587, https://doi.org/10.1175/BAMS-D-15-00268.1, 2017. a
Download
Short summary
Stochastic perturbations are an established technique to represent model uncertainties in numerical weather prediction. While such schemes are beneficial for the forecast skill, they can also change the mean state of the model. We analyse how different schemes modulate rapidly ascending airstreams and whether the changes to such weather systems are projected onto larger scales. We thereby provide a process-oriented perspective on how perturbations affect the model climate.