Development and Testing of Improved Techniques for Modeling the Hydrologic Cycle in a Mesoscale Weather Prediction System
Annual rept. 15 Dec 1992-14 Dec 1993
PENNSYLVANIA STATE UNIV UNIVERSITY PARK DEPT OF METEOROLOGY
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This research addresses the problem of moisture and temperature initializations in regional scale meteorological prediction models. Specifically, two approaches are used one involving radar data and the second involving improved soil moisture content information. The model is initialized with rawinsonde data and then is forced to match convective signatures identified from WSR-57 radar data. Data from NOAA AVHRR radiometer data is used to initialize soil moisture information and generate large scale moisture fields. Methods of continuously updating soil moisture fields are under development.