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  Information - NH1.03 Mesocale Model Prediction and Simulation of Hazardous Weather.

Event Information
The session will focus on progress in the technology of prediction and simulation of hazardous weather using mesoscale and microscale numerical models and assimilation systems. Four major topic areas will be sought, including: (1) Operational and experimental numerical model prediction systems for mesoscale and micro-scale weather. Of particular interest are the model and assimilation packages employed, the performance of the systems, and the technology by which high resolution forecast products are disseminated to the public. Issues of predictability, high resolution verification, ensemble prediction techniques and ensemble interpretation are also of interest. (2) Advances in nonhydrostatic modeling technology applied to small scales. This will include the basic model dynamics engines, advances in computational infrastructure, nesting, adaptive and conforming grids, and advances in model physics packages enabling small scale prediction. (3) Advances in assimilation of high resolution data streams including radar ( conventional, Doppler, multi parameter, multi wavelength), lidar, satellite, and other non-conventional data streams. (4) Modeling case studies of simulation and prediction of local scale hazardous weather (emphasizing issues of model performance, verification, predictability and model output products). Small scale hazardous weather includes (but is not limited to) downslope wind storms, orographic precipitation and flash floods, tornadoes and waterspouts, severe convective storms, tropical cyclone landfall, severe wind producing storms.

Preliminary List of Solicited Speakers

Co-Sponsorship
AS

General Statement
The information contained hereafter has been compiled and uploaded by the Session Organizers via the "Organizer Session Form". The Session Organizers have therefore the sole responsibility that this information is true and accurate at the date of publication, and the conference organizer cannot accept any legal responsibility for any errors or omissions that may be made, and he makes no warranty, expressed or implied, with regard to the material published.



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