A Case Study Using Kinematic Quantities Derived from a Triangle of VHF Doppler Wind Profilers

Abstract

Horizontal divergence, relative vorticity, kinematic vertical velocity, and geostrophic and ageostrophic winds are computed from Colorado profiler network data to investigate an upslope snowstorm in northeastern Colorado. Horizontal divergence and relative vorticity are computed using the Gauss and Stokes theorems, respectively. Kinematic vertical velocities are obtained from the surface to 9 km by vertically integrating the continuity equation. The geostrophic and ageostrophic winds are computed by applying a finite differencing technique to evaluate the derivatives in the horizontal equations of motion. Comparison of the synoptic-scale data with the profiler network data reveals that the two datasets are generally consistent. Also, the profiler-derived quantities exhibit coherent vertical and temporal patterns consistent with conceptual and theoretical flow fields of various meteorological phenomena. It is suggested that the profiler-derived quantities are of potential use to weather forecasters in that they enable the dynamic and kinematic interpretation of weather system structure to be made and thus have nowcasting and short-term forecasting value. Keywords: Kinematic quantities, VHF, Doppler wind profilers. Reprints.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA225336

Entities

People

  • Catherine A. Carlson
  • Gregory S. Forbes

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ageostrophy
  • Case Studies
  • Cold Fronts
  • Contracts
  • Coordinate Systems
  • Equations
  • Equations Of Motion
  • Flight
  • Flow Fields
  • Geostrophic Wind
  • Grids
  • Meteorological Phenomena
  • Meteorology
  • Space Flight
  • Space Sciences
  • Weather
  • Wind

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)