Sunday, October 12th 2008, 3:15 PM EDT
Yes we have.....
This link is from Ocean.Mit.EDU and it is a pdf file
Decadal Trends in Sea Level Patterns: 1993-2004
Note: -
Please read this additional point concerning this work
“It remains possible that the data base is insufficient to compute mean sea level trends with the accuracy necessary to discuss the impact of global warming–as disappointing as this conclusion may be.”
— from the concluding section of:
Decadal Trends in Sea Level Patterns
by Carl Wunsch
Massachusetts Institute of Technology, Rui M. Ponte
AER
Patrick Heimbach
Massachusetts Institute of Technology
February 25, 2007
Abstract. Estimates of regional patterns of global sea level change are obtained from a 1° horizontal resolution general circulation model constrained by least-squares to about one hundred million ocean observations and meteorological estimates during the period 1993-2004.
The data include not only altimetric variability, but most of the modern hydrography, Argo float profiles, sea surface temperature and other observations. Spatial mean trends in altimetric data are explicitly suppressed to isolate global average long-term changes required by the in situ data alone. On large scales, some regions display strong signals although few individual points have statistically significant trends. In the regional patterns, thermal, salinity, and mass redistribution contributions are all important, showing that regional sea level change is tied directly to the general circulation.
Contributions below about 900m are significant, but not dominant, and expected to grow with time as the abyssal ocean shifts. Estimates made here produce a global mean of about 1.6mm/y, or about 60% of the pure altimetric estimate, and of which about 70% is from the addition of freshwater. Interannual global variations may be dominated by the freshwater changes rather than by heating changes.
Useful estimation of the global averages is extremely difficult given the realities of space/time sampling and model approximations. Systematic errors are likely to dominate most estimates of global average change: published values and error bars should be used very cautiously.
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Monday, December 15th 2008, 10:09 AM EST
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