Slightly different slant when your quote is in context li...your quote is bs
Improve methods to quantify uncertainties of climate projections and scenarios, including development and exploration of long-term ensemble simulations using complex models. The climate system is a coupled non-linear chaotic system, and therefore the long-term prediction of future climate states is not possible. Rather the focus must be upon the prediction of the probability distribution of the system�s future possible states by the generation of ensembles of model solutions. Addressing adequately the statistical nature of climate is computationally intensive and requires the application of new methods of model diagnosis, but such statistical information is essential.
Improve the integrated hierarchy of global and regional climate models with a focus on the simulation of climate variability, regional climate changes, and extreme events. There is the potential for increased understanding of extremes events by employing regional climate models; however, there are also challenges in realising this potential. It will require improvements in the understanding of the coupling between the major atmospheric, oceanic, and terrestrial systems, and extensive diagnostic modelling and observational studies that evaluate and improve simulation performance. A particularly important issue is the adequacy of data needed to attack the question of changes in extreme events.
https://archive.ipcc.ch/ipccreports/tar/wg1/index.php?idp=501
