Consistency of horizontal and vertical resolution of atmospheric parameters measured with GPS radio - PowerPoint PPT Presentation

1 / 21
About This Presentation
Title:

Consistency of horizontal and vertical resolution of atmospheric parameters measured with GPS radio

Description:

University of Rome 'La Sapienza' ... Maps of N, NT and NV for 1st January 1991 at 1000hPa ... Department of Physics, University of Rome 'La Sapienza' MEDEA Lab. ... – PowerPoint PPT presentation

Number of Views:34
Avg rating:3.0/5.0
Slides: 22
Provided by: Ale8344
Category:

less

Transcript and Presenter's Notes

Title: Consistency of horizontal and vertical resolution of atmospheric parameters measured with GPS radio


1
Consistency of horizontal and vertical resolution
of atmospheric parameters measured with GPS radio
occultations
  • Marcello Petitta and
  • Alfonso Sutera
  • Physics Department
  • University of Rome
  • La Sapienza

Summer Colloquium on Atmospheric Remote Sensing
Using the Global Positioning System. 20 June-3
July 2004 Boulder, Colorado
2
Radio occultation measurement resolution
  • Are vertical and horizontal resolution of Radio
    Occultation data accurate enough for atmospheric
    study?

3
Task
  • Theoretical relationship between horizontal and
    vertical resolution for meteorological variables.
  • Evaluation of horizontal scale variability of
    temperature and water vapor fields.
  • Sensitivity analysis of the tropopause height
    measurements for different vertical resolutions.
  • Evaluation of horizontal and temporal scale
    variability of the tropopause height field

4
1/1 - Theoretical relationship between horizontal
and vertical resolution
  • The basic equation for quasi-geostrophic flow is
    the geostrophic conservation of pseudo-potential
    vorticity on horizontal surface (Charney, 1979).
    The pseudo-potential vorticity, q, in a ß plane
    is given by

5
1/2 - Theoretical relationship between horizontal
and vertical resolution
  • Following Lindzen and Fox-Rabinovitz (1989) we
    find
  • While at tropical regions

6
Vertical resolution ?z as a function of ?? for
different latitudes
7
Relationship between horizontal and vertical
resolution
Adapted from Lindzen and Fox-Rabinovitz (1989)
8
2 Horizontal scale of refractivity
  • From NCEP/NCAR data, daily means of temperature
    and specific humidity
  • Refractivity index
  • Evaluation of Spatial Correlation
  • Function (SCF)

9
SCF (mean and variance 1)
N NT NV
Mean Variance
Mean Variance
Mean Variance
10
SCF (mean and variance 2)
N NT NV
Mean variance
Mean variance
Mean variance
11
Maps of N, NT and NV for 1st January 1991 at
1000hPa
12
Maps of N, NT and NV for 1st January 1991 at
500hPa
13
Maps of N, NT and NV for 1st January 1991at
300hPa
14
3 - Tropopause detection
  • Evaluate the changes in tropopause height varying
    vertical resolution
  • The same atmospheric profiles at radiative
    equilibrium
  • The same 4 experiments with water vapor
    perturbation
  • Analysis of the horizontal structure of the
    tropopause height

15
Results
16
4 Tropopause meridional structure
17
Eddy and standard deviation fields of tropopause
in DJF Northern Hemisphere
18
Eddy and standard deviation fields of tropopause
in JJA Southern Hemisphere
19
Zonal power spectrum and correlation function for
the standard deviation of tropopause DJF Northern
Hemisphere
20
Zonal power spectrum of the standard deviation of
tropopause and correlation function JJA Southern
Hemisphere
21
Conclusions
  • Radio occultation measurements are consistent
    with the theoretical relationship between
    horizontal and vertical resolution for
    mid-latitude.
  • Horizontal resolution of radio occultation data
    is accurate enough (compared with the horizontal
    scale of refractivity)
  • Accurate vertical resolution of radio occultation
    measurements can be handled by general
    circulation models
  • Measurements with high vertical resolution in the
    troposphere better describes radiative processes
    in the atmosphere
  • Tropopause height measurements are sensitive to
    vertical resolution of data and the its
    horizontal variability can be observed with very
    high accuracy through R.O. technique.
Write a Comment
User Comments (0)
About PowerShow.com