Evaluation and assimilation of ATMS data in the ECMWF system

Assimilation of Ers and Envisat Wave Data at Ecmwf

Operational wave data assimilation at ECMWF started with ERS-1 radar altimeter wave heights on 15 August 1993. This had a significant impact on the wave model analysis and forecast. The impact of wave data assimilation based on the ECMWF experience is presented. This includes the impact of assimilation of ERS radar altimeter and synthetic aperture radar and ENVISAT radar altimeter-2 wave data. ...

Response of the Physical Aspects Section of the Research Department of ECMWF to the WCRP consultation on Model Evaluation and Improvement

This note has been prepared by the Physical Aspects Section of the Research Department at ECMWF. ECMWF is an operational centre for medium range weather forecasting, monthly forecasting, seasonal forecasting and ocean wave forecasting. The operational system is also used for re-analysis projects (ERA-15, ERA-40 and ERA-Interim). ECMWF operates a state of the art global atmospheric model with an...

Constrained adaptive bias correction for satellite radiance assimilation in the ECMWF 4D-Var system

Assimilation Techniques ( 4 ) : 4 dVar April 2001

2. COMPARISON BETWEEN THE ECMWF 3DVAR AND 4DVAR SYSTEMS The ECMWF 4dVar system is, from the technical point of view, very similar to the 3dVar system. Both systems use the same unix scripts, and share much of the Fortran code. The same background error covariance matrix and observation operators are used, and most of the peripheral tasks such as fetching and archiving of fields and observations...

Background error covariance estimation for atmospheric CO2 data assimilation

[1] In any data assimilation framework, the background error covariance statistics play the critical role of filtering the observed information and determining the quality of the analysis. For atmospheric CO2 data assimilation, however, the background errors cannot be prescribed via traditional forecast or ensemble-based techniques as these fail to account for the uncertainties in the carbon em...