Improvement and Calibration of Clouds in Models


22 June 2020 - 26 June 2020

Due to the impacts of COVID-19, this meeting is now postponed until April 12 to 16, 2021. However, organizers will maintain the workshop to define a common format for in- and outputs for single-column models. This will occur via video-conference.

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The goal of this workshop is to discuss and share the latest improvements of atmospheric parameterizations for the representation of clouds with a focus on turbulence, convection, cloud, microphysics and radiation. This concerns any type of models: regional or global models with numerical weather prediction or climate applications. Topics will include:

  • Observations and LES for parameterization developments: systematic comparison of SCM to LES on an ensemble of cases; parameterization-oriented diagnostics
  • Recent progresses in cloud, turbulence, convection, microphysics parameterizations
  • Cloud radiative effects: reference computation, cloud overlap and heterogeneity issues, new development in parameterization
  • Strategy of tuning: process-oriented calibration of parameterizations, link with 3D tuning
  • Machine learning for model improvement
  • Future for the representation of clouds in models