Diagnosis of the Kinematics and Dynamics of Rapidly Developing Maritime Cyclones

Abstract

The overall objective of this project is to diagnose the structure and evolution of rapidly developing maritime cyclones from kinematic and dynamical perspectives in order to interpret and extend emerging conceptual models of these phenomena, as well as to assess the realism and applicability of existing theoretical models. The proposed research is divided among three related lines of investigation. The first addresses the possibility of classifying rapidly deepening maritime cyclones on the basis of characteristic signatures evident in visible and infrared satellite imagery and interpreting these signatures in terms of conventional and dynamic parameters. The second involves diagnosing regional-scale numerical model simulations of the QE II and ERICA IOP-4 storms in order to infer the dynamical characteristics of conceptual model of the low-level temperature structure of maritime cyclones proposed recently by Shapiro and Keyser. The third is to conduct life-cycle studies of the ensemble of rapidly developing maritime cyclones that occurred during the ERICA period. Emphasis in these studies is placed on analyzing cyclone structure and evolution in these studies is placed on analyzing cyclone structure and evolution in the potential-vorticity framework in order to expedite comparison with emerging theoretical paradigms, and on diagnosing interactions between cyclones and their environmental, large-scale flow in order to discern the role of the large-scale flow pattern in shaping cyclone structure.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 31, 1992
Accession Number
ADA267008

Entities

People

  • Daniel Keyser

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Atmospheric Sciences
  • Classification
  • Cycles
  • Cyclogenesis
  • Cyclones
  • Grids
  • Gulf Stream
  • Kinematics
  • Life Cycles
  • Mechanics
  • Models
  • Personal Information Managers
  • Physics Laboratories
  • Satellite Imaging
  • Simulations
  • Theses

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Space