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Physically based stochastic perturbations improve high-resolution forecast of convection

Authors :
Puh, M.
Keil, C.
Gebhardt, C.
Marsigli, C.
Hirt, M.
Jakub, F.
Craig, G.
Source :
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Publication Year :
2023
Publisher :
GFZ German Research Centre for Geosciences, 2023.

Abstract

The physically based stochastic perturbation scheme PSP has been implemented in the convection-permitting ICON-D2 ensemble prediction system at DWD and run for a three-month trial experiment in summer 2021. The scheme mimics the impact of boundary layer turbulence on the smallest resolved scales and impacts in particular convective precipitation. A weather regime-dependent systematic evaluation shows that PSP efficiently increases ensemble spread of precipitation in weak synoptic forcing, while producing realistic convective structures. During strong forcing, the effect of the scheme is negligible, as expected by design. The probabilistic verification shows improvements in the forecast skill of other variables as well, especially the spread to skill ratio, but identifies starting points for further improvements of the method.<br />The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Details

Database :
OpenAIRE
Journal :
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Accession number :
edsair.doi.dedup.....b251d0c6b46a8a0ae54e4725a83d9004
Full Text :
https://doi.org/10.57757/iugg23-2412