The WFIP2 team will use the special WFIP2 observations to verify the operational RAP and HRRR forecasts and identify cases that are not well forecasted and that are important to wind farm operations and utility integration of wind power. Case studies will be be re-simulated with modifications to key physical parameterizations (e.g., turbulence, etc.) in an attempt to improve upon the forecast errors. The most significant model improvements as well as the sum of all model improvements will further be tested in retrospective data denial experiments involving the full RAP domains and full data assimilation of standard and special WFIP 2.0 observations in order to ensure robust improvements for general weather prediction as well as the complex flows of focus in this project.
The WFIP2 team will produce decision support tools to provide greater situational awareness and reduced decision-making time on the part of electric power system operators and wind power producers. These tools will allow for the best use of the mesoscale models and not interfere with the private company roles related to individual wind plant decision-making.
This presentation will discuss the goals of the project and how they will be met, including information about the field campaign, instrumentation choices, validation strategy, and expected contribution to improved weather models.