Abstract

AbstractWe implement a combined on‐line model‐ and observation‐bias correction scheme in the UK Met Office Forecasting Ocean Assimilation Model (FOAM) Unified Model ocean data assimilation system. The observation bias is designed to estimate the error in the mean dynamic topography that is used for altimeter data assimilation. In future, this mean dynamic topography and its errors may be derived from the Gravity field and steady‐state Ocean Circulation Explorer (GOCE) mission geoid data. The mean dynamic topography field is added to the altimeter data supplied as sea‐level anomalies, giving the absolute dynamic topography. The model‐bias scheme separately estimates the remaining bias in the model's sea surface height field. The final unbiased estimate of the absolute dynamic topography is assimilated into the FOAM model by adjusting the subsurface density field using the Cooper and Haines scheme. Various diagnostics, including the observation minus background statistics, show that both model‐ and observation‐bias correction schemes improve the assimilation results. Combining the schemes provides better results than either used alone. Copyright © 2008 Royal Meteorological Society and Crown Copyright, 2008

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.