“Piggybacking” clouds to analyze cloud scale parameterization uncertainty (B07)

• Subject Area: Atmospheric Science ; Mathematics
• Term: from 2015 to 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 257899354

To represent cloud microphysical and associated small scale dynamical processes weather models require parameterizations for these subgrid-scale phenomena. These schemes are subject to large uncertainties due to their simplificaction assumptions and their numerical formulations. To estimate the uncertainty of an indi-vidual parameterization, but also its impact on the larger scale dynamics, this project will apply the "piggy-backing" technique to both self-consistent gridscale cloud and precipitation schemes as well as convection parameterizations (individually and combined). For this purpose, a generalised "piggybacking" interface will be developed, which will allow the separation of the direct impact of an individual parameterization as well as the feedback implications.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 165: Waves to Weather
• Applicant Institution: Ludwig-Maximilians-Universität München
• Project Heads: Professor Dr. Martin Hanke-Bourgeois, until 6/2023; Professor Dr. Peter Spichtinger; Professor Dr. Holger Tost, since 7/2023