| Oceanography > Issues > Archive > Volume 13 > Issue 2 |
2000, Oceanography 13(2):51–56, http://dx.doi.org/10.5670/oceanog.2000.34
Ocean State Estimation and Prediction in Support of Oceanographic Research
Authors | First Paragraph | Full Article | Citation
Authors
Detlef Stammer and the ECCO Consortium | D. Stammer (PI), R. Davis, L.-L. Fu, I. Fukumori, R. Giering, T. Lee, J. Marotzke, J. Marshall, D. Menemenlis, P. Niilel, C. Wunsch, V. Zlotnicki
Eric Chassignet and the HYCOM Consortium | E.E Chassignet (PI), C. Barton, R. Bleck, J.E Cayula, T.M. Chin, G. Halliwell, P. Hogan, H. H. Hurlburt, G. Jacobs, A. Mariano, O.M. Smedstad, R. Rhodes, W.C. Thacker, A. Wallcraft
First Paragraph
The ocean is changing vigorously on a wide range of time and space scales. This variability leads to substantial problems in observing and modeling (simulating) the rapidly changing flow field, the ocean's temperature distribution, and more generally the consequences of those changes on a wide variety of scientific, military, and societal problems, including climate research, fisheries management, coastal pollution (spill) predictions, or ship routing. As an example, the ocean carries roughly 50% of the heat from the low latitudes to mid and high latitudes, where it is released to the atmosphere and moderates our climate. Any significant variation in this heat transport will necessarily lead to a perturbation of the climate system. Among the goals of the present ocean research are therefore to measure, understand, and eventually predict these variations by combining ocean data and ocean models.
Full Article
Citation
Stammer, D., and the ECCO Consortium, and E. Chassignet and the HYCOM Constortium. 2000. Ocean state estimation and prediction in support of oceanographic research. Oceanography 13(2):51–56, http://dx.doi.org/10.5670/oceanog.2000.34.