Abstract
The magnitude of water vapor content within the near<storm inflow can either support or deter the storm’s upscale growth and maintenance. However, the heterogeneity of the moisture field near storms remains poorly understood because the operational observation network lacks detail. This observational study illustrates that near-storm inflow water vapor environments are both significantly heterogeneous and different than the far<inflow storm environment. This study also depicts the importance of temporal variation of water vapor mixing ratio (WVMR) to instability during the peak tornadic seasons in the U.S. Southeast and Great Plains regions during the Verification of the Origins of Rotation in Tornadoes Experiment Southeast 2018 (VSE18) campaign and the Targeted Observation by Radar and UAS of Supercells (TORUS) campaign, respectively. VSE18 results suggest that the surface processes control WVMR variation significantly in lower levels, with the highest WVMR mainly located near the surface in inflows in the southeast region. In contrast, TORUS results show more vertically homogeneous WVMR profiles and rather uniform water vapor distribution variation occurring in deep, moist stratified inflows in the Great Plains region. Temporal water vapor variations within 5<min periods could lead to over 1000 J kg21 CAPE changes in both VSE18 and TORUS, which represent significant potential buoyancy perturbations for storms to intensify or decay. These temporal water vapor and instability evolutions of moving storms remain difficult to capture via radiosondes and fixed in situ or profiling instrumentation, yet may exert a strong impact on storm evolution. This study suggests that improving observations of the variability of near<storm inflow moisture can accurately refine a potential severe weather threat.
| Original language | English |
|---|---|
| Pages (from-to) | 539-556 |
| Number of pages | 18 |
| Journal | Journal of Atmospheric and Oceanic Technology |
| Volume | 40 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2023 |
Keywords
- Aircraft observations
- Boundary layer
- Lidars/Lidar observations
- Remote sensing
- Storm environments
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