Process-based understanding of AEWE and their representation in models
Workpackage 2 of the PICANTE project
Here we will identify the key physical processes that characterise the weather-system drivers and local meteorological impacts associated with selected case studies of AEWE identified in Workpackage 1, as well as their representation in models and identification of possible model improvements.
We will explore the sensitivity to model parameters related to the parameterisation of cloud and precipitation processes, and to model resolution, on the representation of key aspects such as the intensity, spatial scale, timing and location of the weather system drivers.
We will use high-resolution simulations to examine the influence of the complex topography/local processes that can strongly influence meteorological impacts around the Antarctic coastline, and to disentangle the role of local versus large-scale processes in explaining these. We will use sensitivity experiments to identify the key processes necessary to improve the model representation of meteorological impacts.