Priorities for climate change research have moved beyond determining if earth's climate is changing and if there is a human cause. The focus is now on understanding how quickly the climate is changing, where the key changes will occur, and what their impacts might be. Climate models are the best available tools for projecting likely climate changes. Rapid model development, testing, and optimization will be critical to providing decision makers with the timely, and accurate, information they need.
Ultimately, Earth system models (ESMs)-the next-generation climate change models that incorporate biogeochemistry, atmospheric chemistry, and dynamic vegetation into coupled models of the atmosphere, ocean, sea ice, and land surface-must provide improved simulations of temperature, precipitation, and extreme weather events, all at much finer scales, to help the public understand climate change and to provide the inputs necessary for assessments of the consequences of climate change. Because many effects of climate change will be realized at the regional scale, it will be necessary, but not sufficient, to increase the spatial resolution of climate models and to accelerate computational throughput with a combination of software and hardware advances. Inclusion of the latest data from satellites and other modern observation platforms, such as automated weather stations, ground-based remote sensing techniques, and ocean data buoys has to be strengthened for long-term strategy of building up a self-reliant climate data bank. This will require incorporation into climate models of results from diverse research activities, and results from research at other agencies and internationally.
In this regard, Centre for Climate Change and Adaptation Research has already collaborated with the Met Office, Hardley's Centre for Climate Change, United Kingdom and looking forward for effective progress.