Impact of Doppler Velocities Assimilation on the Simulation of a Severe Winter Hailstorm Event - PowerPoint PPT Presentation

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Impact of Doppler Velocities Assimilation on the Simulation of a Severe Winter Hailstorm Event

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Derived Rain Water Content from reflectivity to Modify Terminal Velocity in 3DVAR Process. ... What's the influence of Liquid Water Content (qr) on Vr Retrieval? ... – PowerPoint PPT presentation

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Title: Impact of Doppler Velocities Assimilation on the Simulation of a Severe Winter Hailstorm Event


1
Impact of Doppler Velocities Assimilation on the
Simulation of a Severe Winter Hailstorm Event
Hsin-Hung Lin , Pay-Liam Lin Department of
Atmospheric Sciences, National Central
University, Taiwan Bill Kuo and Qingnong
Xiao National Center for Atmospheric Research,
Boulder, Colorado
2
Outline
  • Introduction
  • Methodology
  • ?Processes of 3D-VAR Data Assimilation
  • ?Impact of Precipitation Parameters
  • Result
  • ?Assimilation of Radial Velocity
  • ?Case Simulation
  • ?Sensitivity Test
  • Summary

3
  • Why Do We Need to Assimilate Doppler Radar Data
  • Remotely observing the Internal Structure of
    Precipitation Weather Systems.
  • High Spatial and Temporal Resolution.
  • Important for Mesoscale and Microscale Weather
    Analysis and Forecasting.
  • Assimilation of Doppler Velocity
  • Using MM5 NCAR 3D-VAR System to Assimilate
    Radial Velocity of NCU Doppler Weather Radar.
  • Derived Rain Water Content from reflectivity to
    Modify Terminal Velocity in 3DVAR Process.
  • To Improve the Precipitation Simulation.

4
Assimilation of Radial Velocity
Observational Operator for Doppler Radial Velocity
Whats the influence of Liquid Water Content (qr)
on Vr Retrieval?
Sun Juanzhen Andrew Crook, 1997
5
  • Verification
  • ?2003 6/14 Meiyu front Case

NCU RADAR Reflectivity
NCU Doppler Velocity
6
  • Comparison with Dual-Doppler Winds

Assimilated Vr
Non-Assimilated
7
Case Simulation
2002 12/19 Hail Storm
Radial Velocity
Radar Reflectivity
8
Evolution of Hail Storms
2002/12/19 10 15 UTC
9
Sensitivity Test
  • Compare AsVr With NoAs
  • Compare IqAs With AsVr

10
Wind Difference of AsVr and NoAs
  • 1000 hPa
  • Initial Field

11
Wind Difference of AsVr and NoAs
  • 850 hPa
  • Initial Field

12
Wind Difference of AsVr and NoAs
  • 500 hPa
  • Initial Field

13
Using Radar Reflectivity to Retrieval qr and
Insert into MM5 Initial Field.
14
Difference of IqAs and AsVr
Difference of Horizontal Wind Field. - Initial
Field With and Without qr
The Max. Wind Difference 11.5 m/s
15
Difference of IqAs and AsVr
Difference of Vertical Velocity - Initial Field
With and Without qr
At 500 hPa, the Max. Difference about 0.1 m/s
16
Result of Case Simulated with qr
Assimilated Vr
13Z
14Z
15Z
17
Summary
  • Assimilating Doppler velocities into model
    initial field can improve the mesoscale
    dynamical structure of initial field.
  • Rain water content derived from Radar
    reflectivity is used to modify terminal velocity
    of raindrop through the assimilation processes.
  • Assimilation of Doppler velocities has a positive
    impact on the simulation of the movement and
    intensity change of rainband accompanied with
    this hailstorm.

18
END
19
Thank You
20
Sensitivity Run
21
Observation of Rain Drop Distrometer dBZ - qr
Relations
The higher reflectivity has broader range of LWC.
22
Result of Simulation
Just can simulate the north cell and early about
34 hours.
23
Typhoon Case
  • Typhoon AERE - 2004/08/23 18Z

24
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