We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Flow‐ and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations.
- Authors
Matsunobu, Takumi; Puh, Matjaž; Keil, Christian
- Abstract
Considering a whole summer season in central Europe, we find that the operational, convection‐permitting ICON‐D2 ensemble prediction system is spatially underdispersive in convective precipitation forecasts. The spatial spread of hourly precipitation is insufficient to capture the inherent error adequately across all scales (up to 300 km) and forecast times (up to 24 h). This lack of spread becomes more pronounced in the weak convective forcing regime. Using physically based stochastic perturbations in the planetary boundary layer is beneficial and leads to a reduction in spatial error at scales larger than 20 km and increases the spread at scales less than 50 km during weak forcing of convection, whereas the effect is almost neutral during strong forcing. Complementing the stochastic perturbations by perturbed parameters in the microphysics scheme shows an additive effect on spatial error and spread for a characteristic case study. Assessing the practical predictability of convective precipitation in a flow‐dependent manner is crucial, and our approach of combining multiple sources of uncertainty proves beneficial in mitigating the spatial underdispersion across scales, particularly during weak convective forcing.
- Subjects
EUROPE; ATMOSPHERIC boundary layer; PRECIPITATION forecasting
- Publication
Quarterly Journal of the Royal Meteorological Society, 2024, Vol 150, Issue 761, p2364
- ISSN
0035-9009
- Publication type
Article
- DOI
10.1002/qj.4713