eather forecasts are typically produced once or twice a day. Over the course of the day, as measured sensor data becomes available, discrepancies between observations and model forecasts are resolved and integrated to improve the next forecast run. The process of resolving discrepancies is known as data assimilation. The images, produced by the UC Santa Cruz Laboratory for Visualization and Graphics (SLVG), compare forecasts and observed data for water-vapor surface-layer modeling on June 8, 1996, using two methods. The REINAS project of SLVG forms the basis of a collaboration between the Earth Systems Science, Data-intensive Computing, and Interaction Environments thrust areas to perform such data assimilation.
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eather forecasts are typically produced once or twice a day. Over the course of the day, as measured sensor data becomes available, discrepancies between observations and model forecasts are resolved and integrated to improve the next forecast run. The process of resolving discrepancies is known as data assimilation. The images, produced by the UC Santa Cruz Laboratory for Visualization and Graphics (SLVG), compare forecasts and observed data for water-vapor surface-layer modeling on June 8, 1996, using two methods. The 