i) Developing new techniques and novel methodologies for data assimilation (DA) and ensemble forecast (EF);

ii) Applying these techniques from global scale to convective scale modeling systems assimilating a variety of observations (radar, satellite, ground based remote sensing platforms, aircraft borne observations, UAV, in-situ, etc.) to improve numerical prediction skill;

iii) Improving the understanding of atmospheric predictability and dynamics through data assimilation and ensemble approaches from global to storm scales;

iv) Transitioning research into operations (R2O);

v) Interdisciplinary research: e.g. machine learning/AI and data assimilation, machine learning/AI and NWP forecast calibration, economic values of NWP.