RIFUGIO
Some recently designed gravity field models together with their variance/ covariance information could possibly be integrated into geo-scientific process models. In case of stationary ocean models the ocean's mean dynamic topography (altimetric mean sea surface referenced to the geoid) is assim...
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| Format: | Conference Object |
| Language: | unknown |
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2009
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| Online Access: | https://epic.awi.de/id/eprint/20735/ https://epic.awi.de/id/eprint/20735/1/Fre2009d.pdf https://hdl.handle.net/10013/epic.32944 https://hdl.handle.net/10013/epic.32944.d001 |
| Summary: | Some recently designed gravity field models together with their variance/ covariance information could possibly be integrated into geo-scientific process models. In case of stationary ocean models the ocean's mean dynamic topography (altimetric mean sea surface referenced to the geoid) is assimilated to improve estimates of the general ocean circulation. In our study we want to combine our complete gravity field models with altimetric data for which a full error propagation is implemented in the processing. Thus we derive estimates of the ocean's mean dynamic topography with a regular covariance matrix. The goal of this project is to integrate this information into stationary ocean models and to assess the effects of this data combination on improving ocean models. The study focuses on the North Atlantic Ocean bounded by the latitudes 30° S and 80(66)° N. |
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