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Enhancing Thunderstorm Forecasts through Multi-Sensor Data Integration

This report details findings from a series of analyses conducted by KLWX Sterling between July and August 1999, focusing on boundary detection and convection forecasting. The data demonstrated that effective thunderstorm forecasts require the integration of multi-sensor inputs, including radar, satellite, and surface data. Our preliminary results show that while AutoNowcaster has made strides in detecting surface boundaries, further refinement is necessary. Additionally, the benefits of forecasting thunderstorm growth and decay have proven valuable for operational forecasters. Collaboration with the research community remains essential.

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Enhancing Thunderstorm Forecasts through Multi-Sensor Data Integration

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  1. Samples of AN Output: KLWX Sterling • July 18, 1999 • boundary detection • July 26, 1999 • convection forecast • July 31, 1999 • convection • August 26, 199 • more convection

  2. Preliminary Results: AN at Sterling • Multi-sensor ingest of data (radar, sat., sfc.) required for 0-1 hr thunderstorm forecasts • AutoNowcaster detection of surface boundaries requires more work • AN forecasts of thunderstorm growth/decay useful to forecasters • Interaction with research community invaluable!

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