Saturday, 3 April 1999: 11:00 AM
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The scanty observational data base over the Southern Hemisphere has meant
that substantial uncertainties exist in analyses, and weather forecasts are
less accurate than in the Northern Hemisphere. Although the situation has
improved with satellite observations, the latter need to be complemented by a
strong in situ network. Observations indicate that climate change is
underway and the prospect is for even greater changes in future as human
effects become more evident relative to the natural variability.
Accordingly, the weather and climate of the past will not be as useful a
guide as it always has been, and a major challenge is to predict what the
future climate will be, on many timescales. This means developing (i) an
observing system that encompasses the atmosphere, ocean, land and ice fields,
(ii) assimilation techniques to turn those into global fields, and (iii) much
improved climate models that can make reliable predictions of interannual and
interdecadal variations as well as the longer term trends. Of course the
predictions will not be deterministic, but must include likely distributions,
sequences and extremes of variables as well as their mean. This means that
major advances are needed on several fronts, on observations, on analyses, on
processes, on research quality datasets, and on the models as a whole.
The Climate Variability and Predictability project (CLIVAR) of the World
Climate Research Programme is one framework for these developments. In this talk we will touch on some of the exciting prospects for advance
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