Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 12, issue 1
Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-261-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 1
Development and technical paper
 | 
16 Jan 2019
Development and technical paper |  | 16 Jan 2019

Independent perturbations for physics parametrization tendencies in a convection-permitting ensemble (pSPPT)

Clemens Wastl, Yong Wang, Aitor Atencia, and Christoph Wittmann

Viewed

Total article views: 3,605 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,433 1,087 85 3,605 124 161
  • HTML: 2,433
  • PDF: 1,087
  • XML: 85
  • Total: 3,605
  • BibTeX: 124
  • EndNote: 161
Views and downloads (calculated since 24 Sep 2018)
Cumulative views and downloads (calculated since 24 Sep 2018)

Viewed (geographical distribution)

Total article views: 3,605 (including HTML, PDF, and XML) Thereof 3,279 with geography defined and 326 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
Ensemble forecasting at the convection-permitting scale (< 3 km) requires new methodologies in representing model uncertainties. In this paper a new stochastic scheme is proposed and tested in the complex terrain of the Alps. In this scheme the tendencies of the physical parametrizations are perturbed separately, which sustains a physically consistent relationship between the processes. This scheme increases the stability of the model and leads to improvements in the probabilistic performance.
Read more
Share