Because a thin
layer of
snow is just as reflective as a thick
layer, the reflectivity effect depends more on the
seasonal distribution of snowfall than the annual average amount.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary
layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary -
layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (
snow, soil moisture, soil temperature, and vegetation) in sub-
seasonal to
seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development
One explanation for the
seasonal offset is that the large summertime
snow / ice change alters ground temperatures, and these ground temperature changes are felt more at ground - level during winter when the surface atmospheric
layer is most stable.