Abstract
Climate change refers to a change in climate over time, whether due to natural variability or as a result of human activity which has worldwide implications. To adapt and mitiage, it is very essential to know the future trend in climatic parameters and effect of climate change. Such prediction for different emission scenarios is done through general circulation models but not without uncertainties. Both decision support system for agrotechnology transfer (DSSAT) and agricultural production systems simulator (APSIM) crop models projected a decline in yield of rice to future climatic conditions. The model prediction-based projections suggest a gradual warming of sea surface and surface air temperature, rise in sea level besides marginal increase or decrease (10%) in annual rainfall over most of the small islands. Further, this chapter describes method of unceratinity minimisation and development of adaptation options.
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