140 likes | 399 Views
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. TOPAZ4 Pilot Reanalysis.
E N D
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
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.
Observation impacts: Spread Reduction factor (analysis error variance reduction)
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