While the time scale distinctions between season-to-interannual and decadal-to-centennial have helped frame the initial science questions to be addressed, the importance of the interaction of the variability across time scales is sufficiently compelling to consider enhancing predictive capabilities on multiple time scales and to apply forecasts on regional spatial scales. Within the US, this regional approach has been adopted, fully recognizing that many obstacles must still be overcome to fully engage scientists from multiple disciplines and subsequently organize the numerous scientific activities to take full advantage of contributed efforts.
There are several tools, resources, and overarching requirements that must be addressed for they form the foundation upon which activities can be built to achieve CLIVAR objectives. The design and implementation of a sustained climate observing systems, continuation of key satellite observations, and development of qualified datasets that extend climate records into the past are essential for diagnostic, modeling, and climate monitoring activities. The evolution of models, data assimilation techniques, and other integration tools provides the framework for understanding and exploring the climate system.
This presentation will provide an overview of the US CLIVAR program, highlighting its scope and objectives as well as the developing plans for implementation.