A5075704709- Geophysics and Gravity Measurements
- Oceanographic and Atmospheric Processes
- Geomagnetism and Paleomagnetism Studies
- Solar and Space Plasma Dynamics
- Geological and Geophysical Studies
University of Bonn
2021
<p>Improved estimates of temperature, salinity, and sea surface height changes are computed from radar altimetry, satellite gravimetry Argo profiles, validated by the in situ ocean bottom pressure measurements a South Atlantic transect Antarctic Circumpolar current. Using altimetry observations, separate contributions to global level can be estimated, but regional solution is more challenging. Furthermore, derived steric change suffers spatio-temporal sampling problems, some...
<p>Sea level change is an important indicator of global warming. In order to predict future sea changes, it becomes more and understand the complex contribution different components (steric melting ice sheets glaciers, hydrology,…) total on regional scales.</p><p>To distinguish between steric mass-related we consider (1) satellite altimetry, which measures change, (2) Gravity Recovery Climate Experiment (GRACE) GRACE Follow-On...
<p>Understanding variations in the ocean heat content is tightly linked to understanding interactions of global energy cycle with regional water cycle. Mass, volume, temperature and density changes  the column can be estimated complimentary observations sea surface height from radar altimetry, bottom pressure Gravity Recovery Climate Experiment (GRACE), salinity Argo floats. These three techniques have their specific deficiencies advantages, which exploited a joint...
<p>This study addresses mapping of Argo temperature and salinity profiles onto arbitrary positions using physically advanced statistical information from model fields, their subsequent parametrization as function depth. suffers spatio-temporal sampling problems, some signals are not well captured, e.g. in the deeper ocean below 2000m, around boundary currents, Arctic or shelf/coastal regions which frequently visited by floats. Mapping data into sparsely sampled areas would...