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P. Sakov (1,2) , L. Bertino (1) , F. Counillon (1) , P. R. Oke (2) (1) NERSC, Norway PowerPoint Presentation
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P. Sakov (1,2) , L. Bertino (1) , F. Counillon (1) , P. R. Oke (2) (1) NERSC, Norway

P. Sakov (1,2) , L. Bertino (1) , F. Counillon (1) , P. R. Oke (2) (1) NERSC, Norway

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P. Sakov (1,2) , L. Bertino (1) , F. Counillon (1) , P. R. Oke (2) (1) NERSC, Norway

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  1. Metrics for quantifying observation impact in data assimilation: application to the TOPAZ pilot reanalysis P. Sakov(1,2), L. Bertino(1), F. Counillon(1), P. R. Oke(2) (1) NERSC, Norway (2) CSIRO Marine and Atmospheric Research, Australia June 2011

  2. TOPAZ4 Pilot Reanalysis • 2003-2008 • Ensemble size = 100 • Localisation = 300 km • Assim cycle = 1 week • Asynchronous DEnKF • R-factor of 2 (assumed larger obs errors for ensemble transformation) • Along-track altimetry • Reynolds  OSTIA SST • T/S • AMSR ICEC • CERSAT ice drift • Sakov, P., F. Counillon, L. Bertino, K. A. Lisaeter, P. R. Oke, A. Korablev, O. M. Johannessen, 2011: TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic, submitted to JGR-Oceans.

  3. Evaluation: TOPAZ4

  4. Evaluation: TOPAZ3

  5. Innovation statistics for ICEC

  6. Observation Impacts: Degrees of Freedom of Signal

  7. Observation impacts: Spread Reduction factor (analysis error variance reduction)

  8. Total DFS (left) and SRF (right)

  9. DFS (left) and SRF (right) for SLA

  10. DFS (left) and SRF (right) for SLA

  11. DFS (left) and SRF (right) for ICEC

  12. DFS (left) and SRF (right) for T

  13. DFS (left) and SRF (right) for S

  14. Summary • TOPAZ Pilot Reanalysis has been performed and evaluated - and the results look very good (manuscript has been submitted) • Metrics to quantify the impact of all assimilated observations were computed routinely as the reanalysis was performed • Results demonstrate that all observations play an important role in constraining the reanalysis in different locations at different times