Global ocean modeling and state estimation in support of climate research.

Stammer, Detlef, Bleck, C., Böning, Claus W. , DeMey, P., Hurlburt, H., Fukumori, I., LeProvost, C., Tokmakian, R. and Webb, D. (1999) Global ocean modeling and state estimation in support of climate research. Open Access In: Proceedings OCEANOBS 99, 18 - 22 octobre / October 1999, Saint Raphael, France. , ed. by Koblinsky, C. J. and Smith, N. R.. UNSPECIFIED.

[img]
Preview
Text
ADA380390.pdf - Reprinted Version

Download (2268Kb) | Preview

Abstract

During the last decade it has become obvious that the ocean circulation shows vigorous variability on a wide range of time and space scales and that the concept of a "sluggish" and slowly varying circulation is rather elusive. Increasing emphasis has to be put, therefore, on observing the rapidly changing ocean state on time scales ranging from weeks to decades and beyond, and on understanding the ocean's response to changing atmospheric forcing conditions. As outlined in various strategy and implementation documents (e.g., the implementation plans of WOCE, AMS, CLIVAR, and GODAE) a combination of the global ocean data sets with a state-of-the-art numerical circulation model is required to interpret the various diverse data sets and to produce the best possible estimates of the time-varying ocean circulation. The mechanism of ocean state estimates is a powerful tool for such a "synthesis" of observations, obtained on very complex space-time pattern, into one dynamically consistent picture of the global time-evolving ocean circulation. This process has much in common with ongoing analysis and reanalysis activities in the atmospheric community. But because the ocean is, and will remain for the foreseeable future, substantially under-sampled, the burden put on the modeling and estimations components is substantially larger than in the atmosphere. Moreover, the smaller dynamical eddy scales which need to be properly parameterized or resolved in ocean model simulations, put stringent requirements on computational resources for ongoing and participated climate research.

Document Type: Book chapter
Research affiliation: OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-TM Theory and Modeling
Date Deposited: 18 Feb 2008 17:25
Last Modified: 10 Feb 2017 13:39
URI: http://oceanrep.geomar.de/id/eprint/38

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...