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Full-Text Articles in Life Sciences
Analysis Of Large-Scale Ocean Bottom Pressure Variability In The North Pacific, Don P. Chambers, Josh K. Willis
Analysis Of Large-Scale Ocean Bottom Pressure Variability In The North Pacific, Don P. Chambers, Josh K. Willis
Marine Science Faculty Publications
[1] We use the leading empirical orthogonal functions (EOFs) of ocean bottom pressure (OBP) derived from an ocean model and the technique of EOF reconstruction to reduce noise in the large-scale OBP variations derived from the Gravity Recovery and Climate Experiment (GRACE). The subsequent OBP variations from the model and GRACE are then examined in the North Pacific between January 2003 and May 2007. Although annual and semiannual variations are similar, GRACE observes large interannual fluctuations poleward of 30°, where OBP increases from a low of nearly 3 cm below normal in early 2003 to normal throughout 2004 and 2005, …
Grace Observes Small-Scale Mass Loss In Greenland, B. Wouters, D. Chambers, E.J. O. Schrama
Grace Observes Small-Scale Mass Loss In Greenland, B. Wouters, D. Chambers, E.J. O. Schrama
Marine Science Faculty Publications
Using satellite gravity data between February 2003 and January 2008, we examine changes in Greenland's mass distribution on a regional scale. During this period, Greenland lost mass at a mean rate of 179 ± 25 Gt/yr, equivalent to a global mean sea level change of 0.5 ± 0.1 mm/yr. Rates increase over time, suggesting an acceleration of the mass loss, driven by mass loss during summer. The largest mass losses occurred along the southeastern and northwestern coast in the summers of 2005 and 2007, when the ice sheet lost 279 Gt and 328 Gt of ice respectively within 2 months. …
Estimating Geocenter Variations From A Combination Of Grace And Ocean Model Output, Sean Swenson, D. Chambers, John Wahr
Estimating Geocenter Variations From A Combination Of Grace And Ocean Model Output, Sean Swenson, D. Chambers, John Wahr
Marine Science Faculty Publications
In this study, we estimate a time series of geocenter anomalies from a combination of data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission and the output from ocean models. A matrix equation is derived relating total geocenter variations to the GRACE coefficients of degrees two and higher and to the oceanic component of the degree one coefficients. We estimate the oceanic component from t wo state-of-the-art ocean models. Results are compared to independent estimates of geocenter derived from other satellite data, such as satellite laser ranging and GPS. Finally, we compute degree one coefficients that are consistent …