data assimilation using an adjoint model first test by s. taguchi transcom paris 14 june 2005...

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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

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Page 1: Data assimilation using 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

By S. Taguchi

TransCom Paris

14 June 2005

Collaboration of AIST and FastOpt

Page 2: 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

• Results(Data error, 0.1,0.5,1.0)

• Future

Page 3: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Questions; to be answered

• How the problem is set up

• How we compensate the limitations in the current adjoint sensitivity (forget trend)

• Sensitivity of the solution to the specifications in observation errors.

Page 5: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

[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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

[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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

[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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

[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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

[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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Blue=CMDLRed=OriginalGreen=Trend

adjusted Baseline

Page 12: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Observation vector and

Observation error

Page 13: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

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 By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Solution

Page 15: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Min=0.1

Page 16: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Min-0.5

Page 17: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

Min=1.0

Page 18: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

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

Page 19: Data assimilation using an adjoint model First Test By S. Taguchi TransCom Paris 14 June 2005 Collaboration of AIST and FastOpt

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