Multiscale Interactions in Tropical Cyclone Structure and Intensity Change

Abstract

Funds are provided to conduct research on complex, multiscale processes that influence tropical cyclone (TC) genesis, intensification, and structure change. Due to this complexity and potential for poor forecasts of high impact weather, research using field observations and numerical models will be conducted to improve intensity and structure forecasts. The central objectives of this research are to improve our understanding of these multiscale interactions that result in TC genesis, rapid intensification, and weakening. The proposed research will analyze field observations collected during the Tropical Cyclone Intensity 2015 (TCI-15) and Propagation of Intra-Seasonal Oscillations (PISTON) field projects. The central hypothesis of this research is that larger scale dynamic and thermodynamic constraints set a potential range for intensification and growth that is ultimately determined by more rapidly evolving convective and mesoscale processes. Better understanding of multiscale processes will enable improved predictive capabilities. Mesoscale analyses of field observations will be integrated with larger scale analyses from global models to examine the structure and evolution of TCs at different stages of the life- cycle. Idealized and ensemble modeling will be utilized to complement the observations and investigate the sensitivity to perturbations on different spatial and temporal scales. The research will be conducted in collaboration with the TCI and PISTON science teams to achieve synergy with other ONR-funded investigators.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 23, 2016
Source ID
N000141613033

Entities

People

  • Michael M Bell

Organizations

  • Colorado State University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Fluid Dynamics (CFD)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers