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Cloud/Rain partitioning using MODIS and AMSR-E. Matt Lebsock. Aqua AMSR- E & MODIS. The world is a drizzly place. Drizzle defined where 750 meter reflectivity exceeds -15 dBZ Area and Low cloud fraction weighted oceanic mean is 19.2\%. Physical Basis For Cloud/Rain Separation.

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Presentation Transcript
the world is a drizzly place
The world is a drizzly place
  • Drizzle defined where 750 meter reflectivity exceeds -15 dBZ
  • Area and Low cloud fraction weighted oceanic mean is 19.2%
physical basis for cloud rain separation
Physical Basis For Cloud/Rain Separation
  • The water path can be partitioned between cloud and Precipitation
  • @ Visible/Near-Infrared wavelengths Qext->2
  • @ Microwave frequencies
    • Tb are sensitive to both cloud and precipitation water

Small

spatial resolution
Spatial Resolution
  • MODIS
    • 1km
  • AMSR-E
  • Use Backus-Gilbert method to resample the AMSR-E footprints to a common resolution @ 23 GHz (31km x 18km)
  • Average the MODIS cloud products to the 23 Ghz resolution with the antenna gain function as a weighting parameter.
optimal estimation retrieval
Optimal Estimation Retrieval

A-Priori Uncertainty

Observational Uncertainty

radiative transfer simulations
Radiative Transfer Simulations

Polarization

Brightness Temperatures

Emission Signal

Scattering Signal

Depolarization Signal

There does appear to be a signal in the brightness temperatures

slide13
Land Influence?

Water Vapor?

continued work
Continued Work
  • Add a realistic DSD
  • Add rain fraction to retrieval
  • Include an optical depth constraint
summary
Summary
  • It appears possible to place bounds on the ratio of precipitation water to cloud water in liquid clouds.
    • Critical assumptions
      • Precipitation DSD
      • Insensitivity of MODIS to precipitation
  • Applications
    • Improved GPROF database
    • Studies on the control of precipitation production
      • Aerosol indirect effects
      • Thermo-dynamical controls
gprof algorithm
Radiometer Obs

TMI, AMSR-E, SSM/I

Background retrieval

SST, TPW

Radiometer

Appropriate

Database

Compare Tb with

a-priori database

Rainfall Product

GPROF Algorithm

Does the A-priori database contain

The correct statistics of rain/no-rain

gprof 2008 database generation
TRMM

Radiometer Obs

TRMM

Radar Obs

Background Retrieval

SST, Wind, TPW,

CLW

Rain?

No

Yes

Radar Rain Profile

CompareTb to Obs

Combine & Compute Tb

Agreement ?

Make Database

Make Database

Yes

No

Add rain below sensitivity of PR

&

Recombine and Compute Tb

CompareTb to Obs

Agreement ?

Yes

No

Modify DSD in PR pixels w/o PIA information

&

Recombine and Compute Tb

CompareTb to Obs

Yes

GPROF 2008 Database Generation

Make Database

pr cloudsat matchups
PR-CloudSat Matchups

7 Wm-2

10%

50%

Berg et al., 2010

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