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Assimilation of geodetic dynamic ocean topography with an ensemble based Kalman filter

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thomas.jung@awi.de

Assimilation of geodetic dynamic ocean topography with an ensemble based Kalman filter

Climate Dynamics Section, Alfred-Wegener-Institute for Polar & Marine Research We improve model generated fields in Southern Ocean by

assimilating absolute dynamical topography data globally into the finite element ocean model (FEOM) using the

ensemble Kalman filter.

T. Janjic (1,3), A. Albertella (2), J. Schroeter (3), R. Savcenko (4), R. Rummel (2), and W. Bosch (4)

The geostrophic velocities calculated from the MDT agree with RMSE errors of 7.6 cm/s and 6.2 cm/s for u (left) and v (right) with

the drifter data in Southern Ocean.

Verification of data assimilation results

Ø  The RMSE compared to the drifter SST reduces from 1.9oC for free model to 1.1oC after assimilation [60oS,42oS]x[58oW,30oW].

The SST from surface drifter data (left) and as result of data assimilation experiment (right). The black lines are the

Subantarctic and Polar fronts and southern boundary of ACC computed from in-situ measurements (Orsi et al., 1995).

Ø  The RMSE compared to ARGO temperature data at 800 m depth reduces from 0.4oC for free model to 0.2oC after

assimilation north of 60oS.

70

o W 60

oW 50oW 40oW 30o

W 20 o W

66

oS 60

o S 54

oS 48

o S 42

o S

0 5 10 15 20

Mean dynamical ocean topography (MDT)

Ø  The geoid is obtained from the gravity model GOCO2s that combines the GRACE and GOCE satellite data.

Ø  The Mean Sea Surface (MSS) DGFI2010 uses altimetric measurements from the ERS-1/2, ENVISAT, TOPEX/

Poseidon, Jason-1 and Jason-2, acquired within the period from October 1992 to April 2010.

Ø  The MSS is extended over land as well as within gaps in the data with values obtained by solving Laplace

equation.

Ø  Filtering of the MSS and the geoid in order to obtain the same spectral content is done in spectral domain with

Jekeli-Wahr filter to degree 150.

Verification of MDT data

Ø  In order to calculate the MDT, one of the central objectives is to obtain the MSS and the geoid spectrally consistent

without loss of accuracy and resolution.

Ø  The artifacts of the extension of the MDT over land seen in the gradients of the MDT are absent.

Magnitude of geostrophic velocities calculated from MDT data with our new approach show major currents in Southern

Ocean with artificacts of extension of MSS over land minimized

T at 800 m as result of data assimilation experiment. The black line is southern boundary of ACC computed from in-situ

measurements (Orsi et al., 1995). The red line is the same front from the data assimilation results using criteria of Orsi et al 1995.

1 Massachusetts Institute of Technology 2 Institute for Astronomical and physical Geodesy, TU Munich 3 Alfred Wegener Institute for Polar and Marine Research 4 Deutsches Geodaetisches Forschungsinstitut

ACKNOWLEDGMENTS

This work has been funded under DFG Priority Research Programme SPP 1257 “Mass Transport and Mass Distribution in the Earth System”.

The data from the Global Drifter Program of NOAA at www.aoml.noaa.gov/envids are used for validation (Lumpkin and Garraffo, 2005).

MDT filtered to degree 150 with new approach

Absolute dynamical topography assimilation

Ø  The assimilation approach follows Janjic et al. (2012)

except that here the MDT is constructed first and a new MDT filtering technique is used.

Ø  The results are closer to observations which were not used for assimilation and lie outside the area covered by the

altimetry in the Southern Ocean (e.g. temperature of

surface drifters or deep temperatures in the Weddell Sea area at 800 m depth derived from Argo composite.)

tpfander@mit.edu

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