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ERC for Collaborative Adaptive Sensing of the Atmosphere (CASA)
Forecasters Improve Wind Predictions by 30% with New Research Data 
The Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) deploys short-range Doppler radar networks in the lowest level of the atmosphere to overcome predictive limitations of conventional radar—an approach validated by National Weather Service forecasters who reviewed data from the Center’s systems and found it would have made their past assessments more accurate.  The NSF-funded research center is based at the University of Massachusetts, Amherst.

In fall 2008, 16 active National Weather Service (NWS) forecasters reviewed six different archived weather cases to measure the impact of CASA’s high-resolution, lower troposphere data on their wind predictions. The forecasters reviewed cases with data gathered only from the current NEXRAD radar technology, and cases with data from the current technology and from the Center’s networks of distributed, collaborative sensing systems working in the lower atmosphere.  The NWS forecasters compared their predictions to measurements from ground-based sensors.

The results show that forecasters using data from both the current technology and CASA’s network’s made wind assessments that were 30 percent more accurate, as measured by mean absolute error, than when assessments were made only with data from the current NEXRAD technology—a statistically significant improvement.  Furthermore, using a seven-point scale, forecasters also self-reported being significantly more confident in their assessments when using data from the research center’s lower-atmosphere radar networks. 

Based on these results, it is likely that these more accurate and confident wind assessments will lead to improved severe thunderstorm warnings, which the NWS issues to alert the public when it forecasts wind speeds in excess of 50 knots (58 mph).  Forecasters said that with access to data from CASA’s networks, they would issue warnings more often for the cases where actual wind speeds were close to or above the severe storm threshold.  Equally important, forecasters chose not to issue warnings for cases where actual wind speeds were under severe limits.  This impact on warnings will be verified in subsequent studies.

To learn more about this topic visit:
ERC for Collaborative Adaptive Sensing of the Atmosphere (CASA)

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Forecasters from the National Weather Service conduct an experiment that showed using data from the Center for Collaborative Adaptive Sensing of the Atmosphere’s lower-atmosphere radar networks improved their wind assessments by 30 percent, and gave them significantly higher confidence in their predictions.
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Last modified  2010