The poster sessions will be cross-session and be a mix of the topics of the four sessions below:
Session I – Advances in simulating C&P
Chairs: Christoph Schaer & Bjorn Stevens
High performance computing has begun to make it possible to resolve the interactions across well separated scales within a single computational domain. Examples of these interactions include the interplay of shallow and deep convection as in radiative-convective-equilibrium, or the interaction of large-scale cold pools with precipitating shallow convection, or the interplay between small scale mixing processes and convection. Research involving the use of high-performance computing to advance our understanding of clouds and precipitation would fit well in this session.
Session II – Advances in Observation C&P
Chairs: Robert Pincus & Susanne Crewell
The ability to simultaneously characterize clouds and the environment with which they interact has been transformed in the last decade by technical advances in active and passive remote sensing technology, refinement of retrieval techniques for turning measurements into observations, and long data records available from both space- and ground-based platforms. This session seeks contributions that use observations at all scales, especially those combing disparate information, to understand the processes controlling micro- and/or macro-physical cloud development and how this depends on the environment.
Session III – Advances in Parametrizing C&P
Chairs: Pier Siebesma & Axel Seifert
The increasing availability of high resolution simulations and observations allow for new opportunities for developing, testing and evaluating parameterizations for numerical weather and climate models that operate at resolutions that require parameterization for clouds, turbulence and convection. This session will provide an overview of new insights of cloud and convection parameterizations inspired by high resolution simulations and observations
Session IV – C&P process constraints for climate prediction
Chairs: Sandrine Bony & Johannes Quaas
Climate prediction at global and regional scales is hampered by a poor quantitative assessment of radiative and dynamical feedbacks mediated by surface temperature changes, and rapid adjustments that occur in direct response to the forcing agents. This session invites contributions that aim at using observations and/or highly-resolved process modeling to advance understanding and provide constraints on feedback and adjustment processes.