CoAuthors

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

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.