I was trying to think of how to use the overshooting top algorithm in warning ops. The current 15 minute data it is useless to me. I would be interested in the trend and the duration of the overshooting top for issuing warnings. The longer the overshooting top, the more likely it will have severe weather. As a result, the only data that would work for me is 1 min data. I can compare this to the radar data as I get it. I do not think that the 5 min data will work as it will wash out trends and the true nature of the atmosphere.
This made me think of QLCS and HSLC tornadoes. If I had near real time one minute satellite data, I could find the strongest updraft in the line. This could have a huge impact on these warnings, the FAR and POD for these storms. The other thing that would help this would be a local maximum cloud top algorithm. For example, make a 200 km x 200 km grid. Use some nearest neighbour algorithm and find a local max in cloud tops. This could lead to lead time with QLCS and HSLC storms.
