Assessment of Vas-Derived Products Created by a Simultaneous Algorithm on a Convectively Active Day

Résumé du livre

GOES-VAS satellite retrievals created by a new 'simultaneous' algorithm are examined. The primary goals are to determine the spatial and temporal characteristics of the data, as well as the magnitudes of mean and RMS errors. Several integrated and non-integrated stability parameters are examined to assess VAS's capability for providing useful information in convective storms forecasting. The improved moisture information has a positive impact on various stability indices. A VAS-derived Lifted Index appears to be a promising convection forecast tool. Many small scale features in satellite imagery were related to the Lifted Index analyses. Also, the VAS-derived values provided information that could not be obtained from conventional surface data. The K Index and Total Totals Index also provided forecast data; however, their resolution did not appear as good as those of the Lifted Index. Integrated values of positive and negative energies were calculated, as well as the heating energy required to raise the surface temperature to its convective value. The positive buoyant energy analyses were similar to the Lifted Index fields, while the negative energy patterns appeared to locate the lid to convective activity, thereby providing a forecaster with an additional prediction tool.