The influence of assimilation of improved Sea Level data using the GECCO adjoint assimilation approach

Martin Scharffenberg (CEN - University of Hamburg, Germany)

CoAuthors

Armin Köhl (CEN - University of Hamburg, Germany); Detlef Stammer (CEN - University of Hamburg, Germany)

Event: 2016 Ocean Surface Topography Science Team Meeting

Session: Quantifying Errors and Uncertainties in Altimetry data

Presentation type: Type Poster

The improvements in Sea Level (SL) data obtained through the ESA - Climate Change Initiative (cci) effort and their consistency with other Essential Climate Variables (ECV) is being tested using the GECCO adjoint assimilation approach. For this purpose SSH data were assimilated jointly with in situ ocean data into the GECCO2 assimilation framework. The dynamically consistent ocean state estimation adjusts only uncertain model parameters to bring the model into consistency with ocean observations. Improvements in data products can be investigated by studying the residuals between the different data products and the constrained model.
We are able to demonstrate the impact of the SSH reprocessing procedure. At the same time we were able to show that upon assimilating the new SSH data product into the GECCO2 model, the consistency of the resulting solution with other data sets improves.
 

Poster show times:

RoomStart DateEnd Date
Grande Halle Thu, Nov 03 2016,11:00 Thu, Nov 03 2016,18:00
Martin Scharffenberg
CEN - University of Hamburg
Germany
martin.scharffenberg@uni-hamburg.de