Mélanie JUZA Thierry PENDUFF Bernard BARNIER LEGI, Grenoble, FRANCE

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Regional accuracy of global Regional accuracy of global ARGO-based monthly mixed layer ARGO-based monthly mixed layer property estimates: depth, property estimates: depth, temperature, salinity temperature, salinity Mélanie JUZA Mélanie JUZA Thierry PENDUFF Thierry PENDUFF Bernard BARNIER Bernard BARNIER LEGI, Grenoble, FRANCE LEGI, Grenoble, FRANCE EGU, Vienna, Austria, April 18 th, 2008

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Regional accuracy of global ARGO-based monthly mixed layer property estimates: depth, temperature, salinity. Mélanie JUZA Thierry PENDUFF Bernard BARNIER LEGI, Grenoble, FRANCE. EGU, Vienna, Austria, April 18 th, 2008. - PowerPoint PPT Presentation

Transcript of Mélanie JUZA Thierry PENDUFF Bernard BARNIER LEGI, Grenoble, FRANCE

Page 1: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Regional accuracy of global ARGO-based Regional accuracy of global ARGO-based monthly mixed layer property estimates: monthly mixed layer property estimates:

depth, temperature, salinitydepth, temperature, salinity

Mélanie JUZAMélanie JUZAThierry PENDUFFThierry PENDUFFBernard BARNIER Bernard BARNIER

LEGI, Grenoble, FRANCELEGI, Grenoble, FRANCE

EGU, Vienna, Austria, April 18 th, 2008

Page 2: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Interest of ARGO array for climate

- Monitoring and research

Determination of the observable part of the ocean dynamics

- Accuracy of the ARGO array (OSSE approach)

Heat content within the mixed layer:

Regional accuracy of global ARGO-based Regional accuracy of global ARGO-based monthly mixed layer property estimates: monthly mixed layer property estimates:

depth, temperature, salinitydepth, temperature, salinity

0

0

MLDz

TdzCpMLHC

Page 3: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Datasets

Observations: ARGO floats

from ENACT-ENSEMBLES (Met Office Hadley Center observations datasets)

Page 4: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Datasets

1958-2004 numerical simulation : DRAKKAR ¼°

DRAKKAR Group 2007, Barnier et al 2006, Brodeau et al 2007, Penduff et al 2008

- NEMO code (ocean model OPA9 + sea-ice LIM2 + CFC11 + 14C)

- Global setup.

- Resolution: 1/4° . 46 vertical levels

- Interannual forcings 1958-2004: BULK formulae (COARE)

- Turbulent fluxes: atmospheric variables (from ERA40 reanalysis)

- Radiative fluxes: ISCCP satellite observations

- Precipitations (Xie and Arkin)

- Runoffs (Dai and Trenberth)

- Outputs: U , V, T, S, SSH … (5 day means)

Observations: ARGO floats

from ENACT-ENSEMBLES (Met Office Hadley Center observations datasets)

Page 5: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

¼° Drakkar Model

Mixed Layer Depth

2004

Page 6: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Collocation of hydrographic data

ENACT/ENSEMBLEST,S(x,y,z,t) vertical profilesGlobal. ARGO. 1998-2004

MODELT,S(x,y,z,t)Global. 1998-2004

• Keep good data only• Quadrilinear collocation (obs. space)

COLLOCATEDOBSERVED and MODEL

T,S(x,y,z,t) profiles Dispersed in time and space

VALIDATION SAMPLING ERROR

Integrated quantities within the mixed layer

Statistical analysis

Page 7: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Simulated and observed MLD

ARGO

August 1998-2004 February 1998-2004

Mixed layer depths (MLD) (m)

1/4°

model

Realism of simulated and observed MLD quantities

Page 8: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Method for the analysis of mixed layer quantities

Distribution of Mixed Layer Depth / Temperature / Salinity / Heat and Salt Contents

Medians and percentiles 17% and 83%

Example: MLHC in North Atlantic

Median

17%

83%

0

0

MLDz

TdzCpMLHC

-- full model -- sub-sampled model (like ARGO)

SAMPLING ERROR

April

1998-2004

Page 9: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Sampling errors of MLHC in NATL

-- sub-sampled model

-- full model ¼°

Monthly cycles of MLHC (1998-2004): zone MNW-ATL

well observed seasonal cycle

small sampling error. JFM ~ 2 GJ/m2

jan mar may jul sep nov

16

14

12

10

8

6

4

2

0

ML

HC

(G

J/m

2 )

Page 10: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Sampling errors of MLHC at global scale

ARGO sampling error on monthly MLHC (1998-2004)

30° x 30° x 1 month bins (1998-2004)Error = <sub-sampled model> – <full model>

MLHC (J/m2)

too warm

too cold

Page 11: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Sampling errors of MLHC at global scale

ARGO sampling error on monthly MLHC (1998-2004)

30° x 30° x 1 month bins (1998-2004)Error = <sub-sampled model> – <full model>

MLHC (J/m2)

too warm

too cold

Page 12: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Sampling errors of MLHC at global scale

ARGO sampling error on monthly MLHC (1998-2004)

30° x 30° x 1 month bins (1998-2004)Error = <sub-sampled model> – <full model>

MLHC (J/m2)

too warm

too cold

Sampling errors of MLD and MLT

Page 13: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Regional sampling errors of MLHC, MLD, MLT

Sampling error of monthly MLHC/MLD/MLT (1998-2004)

Contribution of MLD / MLT to the ARGO sampling errors of MLHC

MLHC

North Atlantic

MLD

too warm

too cold

MLT

5°C too warm

5°C too cold

100m too shallow

100m too deep

0

0

MLDz

TdzCpMLHC

March

Page 14: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Regional sampling errors of MLHC, MLD, MLT

Sampling error of monthly MLHC/MLD/MLT (1998-2004)

Contribution of MLD / MLT to the ARGO sampling errors of MLHC

MLHC

North Atlantic

MLD

too warm

too cold

MLT

5°C too warm

5°C too cold

100m too shallow

100m too deep

Number of data per bin

March

Exact spatial distribution of ARGO floats

¼° model MLD & ARGO floats positions – mar 1998-2004

Page 15: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Regional sampling errors of MLHC, MLD, MLT

Sampling error of monthly MLHC/MLD/MLT (1998-2004)

Contribution of MLD / MLT to the ARGO sampling errors of MLHC

MLHC

North Atlantic

MLD

too warm

too cold

MLT

5°C too warm

5°C too cold

100m too shallow

100m too deep

¼° model MLD & ARGO floats positions – mar 1998-2004

- sub-sampled model

- full model ¼°

MLD

March

Page 16: Mélanie JUZA Thierry PENDUFF Bernard BARNIER  LEGI, Grenoble, FRANCE

Preliminary estimates at global scale:

- ARGO sampling error in mixed layer

and Salinity and Salt Content …

- Dependence on spatial distribution of ARGO floats

Interest of numerical simulations to assess the accuracy of observation systems

Extend this assessment : to recent years (maximum ARGO coverage)

: toward the last 50 years (interannual cycles)

Conclusion-perspectives

Typical Max

Depth +/- 10 m +/- 100 m

Temperature +/- 1 °C +/- 5 °C

Heat content +/- 1 GJ/m2 +/- 5 GJ/m2