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Towards Passive Microwave Radiance Assimilation of Clouds and Precipitation Ralf Bennartz 1 , Tom Greenwald 2 , Andrew Heidinger 3 , Chris O’Dell 1 , Martin Stengel 1 , Kenneth Campana 4 , Peter Bauer 5 1: Atmos. & Oceanic Sci. ,University of Wisconsin 2: CIMSS ,University of Wisconsin

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Towards Passive Microwave Radiance Assimilation of Clouds and Precipitation

Ralf Bennartz1, Tom Greenwald2, Andrew Heidinger3,

Chris O’Dell1,Martin Stengel1, Kenneth Campana4, Peter Bauer5

1: Atmos. & Oceanic Sci.,University of Wisconsin

2: CIMSS,University of Wisconsin

3: NOAA/NESDIS

4: NOAA/NCEP

5: ECMWF

slide2

Outline

  • SOI model and applications
  • Cloud/precipitation overlap
  • 3-year accomplishments
  • Further plans
soi radiative transfer model
SOI Radiative Transfer Model

• Hybrid multi-stream solution method (doubling plus iteration)

(Heidinger et al. 2006; O’Dell et al. 2006)

• Implementation

- Less scattering: 2-stream solution

- More scattering: 4-stream solution

• Forward, tangent linear and adjoint models integrated into CRTM

slide5

Forward and adjoint simulation example

GFS Simulations

AMSR-EObservations

slide8

Different cloud/precipitation overlap models

  • Conventional approach uses cloud cover to subdivide NWP pixel in cloudy/precipitation
  • New approach derives two or three optimal columns based on subscale distribution of precipitation columns with similar optical properties
  • Numerically efficient (2-3 radiative transfer calculations per NWP grid point)
  • Highly accurate against independent column/Max-Random-overlap reference
  • Optimal approach reduces errors due to cloud overlap from maximum values of 5-10 K to values < 1K
slide9

Different cloud/precipitation overlap models

1Column

2Columns

3columns

3 optimal

Currently operational at ECMWF

O’Dell, Bauer, Bennartz, JAS, 2006, submitted

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Different cloud/precipitation overlap models

1Column

2Columns

3columns

3 optimal

New scheme with much better error characteristics

Currently operational at ECMWF

O’Dell, Bauer, Bennartz, JAS, 2006, submitted

slide11

3-year Accomplishments

  • Fast forward RT model (SOI) developed, tested and integrated in CRTM (3 publications)
  • Tangent linear and adjoint model developed, tested, and integrated in CRTM
  • Bias GFS/SOI statistics for passive microwave and infrared
  • Fast and accurate new cloud overlap scheme for use in NWP radiance assimilation (forward/adjoint); manuscript submitted
slide12

Further plans

  • Monitor bias statistics over longer time period, especially:
    • Fully include scattering (need more complete GFS input data)
    • Biases in IR including scattering
  • Precipitation assimilation:
    • Include cloud diagnostics to generate precipitation rate
    • Further test and integrate cloud overlap with NCEP/GFS.
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