Assimilation of Multi-Sensor Synoptic and Mesoscale Datasets: An Approach Based on Statistic, Dynamic, Physical and Synoptic Considerations
FLORIDA STATE UNIV TALLAHASSEE DEPT OF METEOROLOGY
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Our long-term goal is to contribute to our understanding of key elements for improving the 2 to 3-day forecast of Pacific and Atlantic storms that strike the west coasts of the U. S. and Europe through analysis and assimilation of observations. Of particular interest to us are the combined effects of satellite data and in situ data dropsondes, buoys, ships on the initialization of a numerical forecast model aimed at providing reliable objective forecast guidance. The objectives are to conduct data assimilation experiments using observations available during FASTEX and NORPEX, and a mesoscale forecast model. We focus, specifically, on two technical and one scientific objectives, listed below 1. the best use of satellite data TOMS ozone and water vapor winds, targeted dropsondes, and results from subjective mesoscale analysis. 2. the role of targeted observations in the presence of satellite data for improving 2 to 3-day forecasts of landfalling cyclones. 3. the role of the background term in mesoscale data assimilation scientific goal.