Covariance Localization in Strongly Coupled Data Assimilation
University of Oklahoma
Coupled models of the Earth system have now enabled numerical prediction from weather time scales to climate projections. Strongly coupled data assimilation (DA) based on an ensemble of forecasts is a promising approach for providing initial conditions for these coupled models due to their ability to estimate flow-dependent coupled error covariance. Because the coupling strength between subsystems of the Earth is not a simple function of a distance, we need a better localization strategy than the current distance-dependent localization.
2 August, 1pm, in 2890