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Data assimilation usin g an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Data assimilation using an adjoint model First Test

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Data assimilation using an adjoint model First Test. By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt. Continuous + adjoint  annual mean flux. Formulation c: Observation vector G: Transport matrix x:Flux area, prior estimate and uncertainty - PowerPoint PPT Presentation

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Page 1: Data assimilation using an adjoint model First Test

Data assimilation using an adjoint model

First Test

By S. TaguchiTransCom Paris

14 June 2005Collaboration of AIST and FastOpt

Page 2: Data assimilation using an adjoint model First Test

Continuous + adjoint annual mean flux

• Formulation• c: Observation vector• G: Transport matrix• x:Flux area, prior estimate and uncertainty• Results(Data error, 0.1,0.5,1.0)• Future

Page 3: Data assimilation using an adjoint model First Test

Question; Not to be answered

• Relationship between the definition of adjoint and the current adjoint sensitivity

• How to derive the adjoint sensitivity used in this study

• Posterior   error covariance

Page 4: Data assimilation using an adjoint model First Test

Questions; to be answered

• How the problem is set up• How we compensate the limitations in the c

urrent adjoint sensitivity (forget trend)• Sensitivity of the solution to the specificatio

ns in observation errors.

Page 5: Data assimilation using an adjoint model First Test

continuous + adjoint annual flux

• c=Gx• c: observation vector CMDL – Base Run• G: Transport Matrix Adjoint sensitivity + Prior• x: Unknown source 3x3 grids Annual mean• σc   c: Obsrvation Uncertainty• σx Prior flux ucertainty f – z• JBLS=(c-Gx)t X(c-Gx) + (f-z)t W(f-z)• No off-diagonal elements in X and W.

Page 6: Data assimilation using an adjoint model First Test

[c.1]Observation vector

• c= Observations – baseline, 1997 one year• Annual Mean; adjusted• Point barrow/CMDL from CD-ROM/WDCGG• 1 hour observations• Mean and standard deviation; 6h• Mean Fitting• Standard deviation Error (Min=1,0.5,0.1ppm)• Missing period Base run

Page 7: Data assimilation using an adjoint model First Test

[c.2] Three steps in making Baseline

• NIRE-CTM-96 ECMWF 90-97• Initial 350ppm , 90-97 year ECMWF• (1) Fossil90+CASA+Takahashi02• (2) CASA’ = Trend Adjusted CASA• (3) Annual mean adjusted, Last time series are baseline.

Page 8: Data assimilation using an adjoint model First Test

[c.3]Forward model forBase run and adjoint sensitivity

• NIRE-CTM-96 one used for TransCom 2.• 2.5x2.5x15 (144x73x15~1.6 x 10 5)• 6 hour• Semi-lag, non-local PBL, Mass fixer• European Centre for Medium Range Weathe

r Forecast, ERA-15, Operational(p),• 1979-1999

Page 9: Data assimilation using an adjoint model First Test

[G.1] Adjoint sensitivity;output of a transport model runni

ng in reverse time direction• 3D (144x73x15)• Max 31 days, 6hour time resolution• Specify; periods(=<31d),and point in 3D• If 1 ppm/6h is given continuously at a specified period at a point, how much c

oncentrations will be obtained at observational site.

• 1979-1999

Page 10: Data assimilation using an adjoint model First Test

[G.2]1460 fixed period adjoint sensitivity

• number terminal time start time• 1. 6UTC,1st,Dec,1996 0UTC,1st,Jan,1997• 2. 12UTC,1st,Dec,1996 6UTC,1st,Jan,1997• 3.• ..• ..• 1460, 0UTC,31st,Dec,1997 18UTC,31st,Dec,1997• Ignore all information prior to 31 days !

Page 11: Data assimilation using an adjoint model First Test

Blue=CMDLRed=OriginalGreen=Trend

adjusted Baseline

Page 12: Data assimilation using an adjoint model First Test

Observation vector and

Observation error

Page 13: Data assimilation using an adjoint model First Test

Area of unknown flux Prior flux uncertainty = sum of flux at 9 grid with 1ppm/6h

Page 14: Data assimilation using an adjoint model First Test

Solution

Page 15: Data assimilation using an adjoint model First Test

Min=0.1

Page 16: Data assimilation using an adjoint model First Test

Min-0.5

Page 17: Data assimilation using an adjoint model First Test

Min=1.0

Page 18: Data assimilation using an adjoint model First Test

Updated SourceMinObs Error=1.Init=1996.Dec.31

Page 19: Data assimilation using an adjoint model First Test

Future

• Extend Integration time Consistent annual 3x3grids.

• By 9 years time series 9 years mean , grid

• By 9 Stations annual mean, grid• By 12 Stations monthly mean, 3x3 grid• ( Minami-torishima, Izana, Samoa, etc.)• Column integrated concentrations