In this presentation, we introduce the Jefferson Project and describe the development of the operational forecast system used to simulate the atmosphere in the model stack, Deep Thunder (a configuration of the WRF model). The model performs 48-hr forecasts twice daily in a nested configuration with four domains; the innermost domain has dx = 333 m and no boundary-layer parameterization (i.e., a very-large-eddy simulation). Observations from a network of recently installed weather sensors in the watershed are used for data assimilation and validation. We discuss the model's ability to forecast precipitation (an input into the hydrology model) and lake surface conditions (an input into the lake model) during different weather events, and briefly present a case study on the development of an internal seiche observed within the lake.
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