We propose an integrated dynamics-physics coupling framework for weather
and climate-scale models. Each physical parameterization would be
advanced on its natural time scale, revised to include a moist
thermodynamic relationship, and finally integrated into the relevant
components of the dynamical core. We show results using a cloud
microphysics scheme integrated within the dynamical core of the GFDL
SHiELD weather model to demonstrate the promise of this concept. We call
it the in-line microphysics as it is in-lined within the dynamical core.
Statistics gathered from one year of weather forecasts show
significantly better prediction skills when the model is upgraded to use
the in-line microphysics. However, we do find that some biases are
degraded with the in-line microphysics. The in-line microphysics also
shows larger-amplitude and higher-frequency variations in cloud
structures within a tropical cyclone than the traditionally-coupled
microphysics. Finally, we discuss the prospects for further development
of this integrated dynamics-physics coupling.