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2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Optimal Merging of Water Vapour Retrievals from Different Instruments
Ralf LindauBonn University
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Data
Merging daily water vapour fields from:
• AMSU and SSM/I over sea only
• ATOVS NOAA-15 NOAA-16
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Data ExampleNOAA15 NOAA16
Number of observations
• Swath-oriented data is averaged on a 150 km grid (Sinosuidal projection)
• 4 independent observations per day at maximum
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Kriging Approach
• n observations xi at the locations Pi are given.
• Perform a prediction x0 for the location P0 , where no obs is available.
• Construct the prediction by a weighted average of the observations xi.
• Take into account the observation errors xi.
• Determine the weights i.
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Kriging Equations
To determine the weight i we need:
• the spatial covariances [ xi xj ]
• the error variance [ xi xi ]
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Spatial Correlation
Correlation as a function of distance
Fitting of:
r = exp (a0 + a1x)
Handy characteristics:Correlation length: 645 kmordinate intercept: 0.969
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Error of daily meansAMSU
SSM/I
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Ready to run
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
TPW on 4th April 2004
Anomaly on 4.AprilMean and Stddev. in April
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Raw Data / Results
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Conclusion
Daily fields of Total Water Vapour:• ATOVS• Spatial correlation function• Error of daily grid averages
For each TPW field an error field is provided
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Error Covariance
D = ((x1 + x1) – (x2 + x2))2
D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Error Covariance
D = ((x1 + x1) – (x2 + x2))2
S = (x1 + x1)2 + (x2 + x2)2
D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov
S = 2 Var + Err1 + Err2
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
Error Covariance
D = ((x1 + x1) – (x2 + x2))2
S = (x1 + x1)2 + (x2 + x2)2
D = 2 Var – 2 Cov + Err1 + Err2 - 2 ErrCov
S = 2 Var + Err1 + Err2
S – D = 2 Cov + 2 ErrCov
2nd CMSAF U&T Workshop – Nürnberg, 30. August 2005
CMSAF
TPW anomaly on 4th April