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Lead efforts in conducting data denial experiments for Atmospheric River reconnaissance (AR Recon) observations. The position also leads a team of quantitative analysts providing input into flight planning for AR Recon operations. With approved PI exception, may be tasked with writing and achieving independent funding with proposals on atmospheric data assimilation, numerical weather prediction, initial condition sensitivity, atmospheric dynamics, and remote sensing. Mentor undergraduates, graduate students, and postdocs. Provide service toward building an equitable and diverse scholarly environment. The position will require a comprehensive understanding of synoptic and mesoscale meteorology, weather forecasting, and verification of numerical weather prediction models. The research will focus on extreme precipitation events along the US West Coast and in particular atmospheric rivers. The position will require strong programming skills to analyze the data, support the development of the regional numerical weather prediction model at CW3E, and develop new decision support tools. Uses forecasting, modeling and data analysis skills to support both research and near real time operations at CW3E. Lead CW3E and external colleagues in conducting data denial experiments for Atmospheric River reconnaissance (AR Recon) observations. The position also leads a team of quantitative analysts providing input into flight planning for AR Recon operations. Coordinates the work of a team of CW3E staff and external collaborators on open solicitation projects from NASA/JPL and NOAA that are related to atmospheric river modeling and observational analysis. Provides support to CW3E managers on the hiring process by assisting in writing job cards and participates in screening and interviewing candidates for the Center. With PI exception, may act as PI or Co-PI to lead in writing project proposals and, as needed, coordinates with other CW3E PI's in preparing project proposals. Takes a lead role in the development of radar data assimilation algorithms for atmospheric rivers and heavy precipitation events along the US West Coast. Work direct postdoc researchers at CW3E, to include ensuring that postdocs meet the requirements and expectations set by the university and the Center for Western Weather an Water Extremes (CW3E; http://cw3e.ucsd.edu/) goals in improving ensemble Atmospheric Rivers (ARs) prediction.

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