11 th JCSDA Science Workshop on Satellite Data Assimilation Latest Developments on the Assimilation of Cloud-Affected Satellite Observations Tom Auligné National Center for Atmospheric Research Acknowledgments: Gael Descombes, Greg Thompson, Francois Vandenberghe, Dongmei Xu (NCAR) Thomas Nehrkorn, Brian Woods (AER) Funding provided by the Air Force Weather Agency 1
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11 th JCSDA Science Workshop on Satellite Data Assimilation
11 th JCSDA Science Workshop on Satellite Data Assimilation. Latest Developments on the Assimilation of Cloud-Affected Satellite Observations Tom Auligné National Center for Atmospheric Research - PowerPoint PPT Presentation
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11th JCSDA Science Workshop on Satellite Data Assimilation
Latest Developments on the Assimilation of Cloud-Affected Satellite Observations
Tom AulignéNational Center for Atmospheric Research
Acknowledgments: Gael Descombes, Greg Thompson, Francois Vandenberghe, Dongmei Xu (NCAR)Thomas Nehrkorn, Brian Woods (AER)Funding provided by the Air Force Weather Agency
1
Introduction
Approaches for the use of cloud-affected radiances
• Nowcasting• COP + advection• 3D cloud fraction + WRF dynamical transport
• Oklahoma U. / GSI-RR cloud analysis
• Expansion of analysis control variable• Total water + linearized physics• Microphysical variables
2
Introduction
Approaches for the use of cloud-affected radiances in NWP
• Nowcasting• COP + advection• 3D cloud fraction + WRF dynamical transport
• Oklahoma U. / GSI-RR cloud analysis
• Expansion of analysis control variable• Total water + linearized physics• Microphysical variables (WRF Data Assimilation)
3
Outline
• Control Variable Transform• Multivariate Background Error
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
15
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
16
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
17
Huber Norm: robust observation errors
Figure from Fisher (2008)
Innovations
Normalized Obs Weight
Distribution of innovations18
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
19
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
20
Satellite Field of View (FoV) interpolation
• Calculate polygons (ellipses)
• List model grid points inside ellipse
• Use average input for CRTM• Currently testing for AIRS and IASI
21
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
22
• Unified processing for Radiances and COP Retrievals
• Revisited QC: extended Gross and First-Guess check
(to conserve cloudy data)• Huber Norm: robust definition of
observation error• Land Surface: Tskin introduced as a sink variable• Field of View: advanced interpolation scheme• CRTM Jacobians: rescaled base state
(floor and ceiling values for cloud parameters)
• Middle Loop: Multiple re-linearizations of obs. operator
Unified Processing of Cloud-affected Satellite data
23
Cost Function
First Guess Second Guess Third Guess
First Analysis Second Analysis
AIRS Window Channel #787
3DVar Middle loop
24
First Guess Second Guess Third Guess
Observation
Update of qcloud, qice in WRF
ObservationsAIRS Window Channel #78725
Outline
• Control Variable Transform• Multivariate Background Error