STATISTICAL COMPOSITES FOR CROSS-PAC FIELD CAMPAIGN

The project EUROCS aims to improve the treatment of cloud systems in global and regional climate models. In addition, benefits will be also gained for hydrology and severe weather issues. Clouds probably remain the largest source of uncertainty affecting evaluations of climate change in response to anthropogenic change. The recent interest to develop capability to predict regional changes of climate, stress also the importance to better represent clouds in models. Towards this aim, EUROCS is examining two cross-sections in the north Pacific.

This case study presents data from 1 June 1998 to 31 Aug 1998 and covers a region from 5.0S to 40.0N latitude and from 170.0E to 240.0E longitude.


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Last updated: 2008:03:21 @ 13:05:20