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Comparison of Insitu and Satellite derived soundings

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Polar orbiting satellites (NOAA-15 ) 15 channels for temperature. channels 1&2 for near surface ... number of satellites. computing resources. Radiative ... – PowerPoint PPT presentation

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Title: Comparison of Insitu and Satellite derived soundings


1
Comparison of In-situ and Satellite derived
soundings
  • LT Michael Vancas

2
Advanced Microwave Sounding Unit (AMSU)
  • Polar orbiting satellites (NOAA-15)
  • 15 channels for temperature
  • channels 12 for near surface
  • 5 channels for humidity soundings
  • amsu.cira.colostate.edu/
  • Microwave spectrum
  • Passive (outgoing Terrestrial emission)

3
Microwave Spectrum
4
Weighting functions are used to correct the
brightness temperature for each AMSU channel.
5
Weighting functions for channels sensing nearest
the surface must account for the different
emissivity of the surface
6
AMSU-B channels sense tropospheric moisture
7
Satellite derived soundings
  • Advantages
  • Remote locations
  • Requires little infrastructure
  • Easily ingested into model fields
  • Generate many products
  • Rain Rates
  • Snow Cover
  • Disadvantages
  • Require heavy computing
  • Complicated code
  • Limb corrections
  • Boundary conditions
  • Atmospheric effects
  • CLW
  • Precip
  • Dust

8
Example Products
Snow is bad
  • Rain Rate product
  • Derived from AMSU
  • Global product
  • Several passes
  • No good over snow covered land
  • equatorial gaps
  • Calculated using changes in Tb caused by rainfall
    (AMSU-A)

Gaps in coverage at EQ
9
Another Example
  • Total Precipitable Water
  • Shows water vapor available to form precipitation
  • Again, subject to limits over land, snow cover
    and near the equator
  • Time averaged

10
Data Collected
  • Insitu Measurements conducted on the Cruise
  • Balloon launches
  • Processed and figures generated by Mary Jordan
  • AMSU-A data collected by NRL
  • Preprocessing by Joe Turk and Clay Blankenship at
    NRL

11
Limitations
  • PCRTM trials and tribulations
  • Program promises to be very useful, several
    professors have expressed an interest
  • Very complicated code
  • Only partial success thus far
  • Able to generate AMSU-A Brightness temperatures
  • Unable to fully integrate with Rawinsonde data
  • TB's generated for 15 channels only, unable to
    generate Lat/Lon information
  • Forward Radiative Transfer Model requires
    Rawinsonde field as boundary conditions

12
Rawinsonde vs TB
jump likely caused by cloud cover
13
Previous slide discussion
  • The TB plot generated shows the Brightness
    temperature at the center of the channel
  • TB temperatures are "lower" than would be found
    in the actual atmosphere due to nature of MW
    radiation emissions
  • Decreases with height
  • Rawinsonde data is (near) continuous vice
    extremely discretized

14
Goes satellite derived sounding vs Rawinsonde
15
Conclusions
  • AMSU derived satellite products very promising
  • Limited by several factors
  • Revisit time (several hours)
  • partial fix is increased number of satellites
  • computing resources
  • Radiative xfr models

16
Questions?
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