Thus, to properly study the relationships between CTD and updraft strength, the mAMV targeting approach is modified to identify targets in smooth cirrus regions. Furthermore, steps are taken to apply a recursive analysis approach instead of the original Barnes (1973) objective analysis approach used by Apke et al. (2016) to better handle non-uniform point-source mAMVs. Multiple case studies of supercell and nonsupercell storms will be shown. Values of the new recursive analysis approach are compared to locations of visible and infrared derived overshooting tops, ground based radar reflectivity, differential reflectivity columns and ground based total lightning data values measured by very high frequency lightning mapping arrays.
Preliminary results suggest that SRS derived CTD and total lightning changes are related as values of total lightning changes are theoretically related to changes in updraft volume and strength (Schultz et al. 2015). Using a recursive analysis with improved target spatial density removes ballooning problems present in the Barnes analysis, and background tropopause level flow from numerical weather prediction data can be effectively combined with measured mAMV products. Also, CTD can now be used for a number of cases to identify the location of the strongest updraft in a region at a 1-min time scale. Further exploration into ground based radar data shows that total lightning changes that occur without changes in CTD or vice versa may be due to the microphysics of the storm itself, hence use of combined products from the new Global Lightning Mapper on-board the GOES-R with SRS mAMVs may yield new insights on the internal dynamics (i.e. updraft intensification, broadening, and wet hail growth) and microphysics of mature deep convection with as high as 30-second update rates. CTD and CTV can also be explored for severe weather forecasting value, such as trends near the occurrence of strong winds, large hail and tornadoes at the ground.