Introduction. Stochastic physics and climate modelling

T.N Palmer, P.D Williams
2008 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Finite computing resources limit the spatial resolution of state-of-the-art global climate simulations to hundreds of kilometres. In neither the atmosphere nor the ocean are small-scale processes such as convection, clouds and ocean eddies properly represented. Climate simulations are known to depend, sometimes quite strongly, on the resulting bulk-formula representation of unresolved processes. Stochastic physics schemes within weather and climate models have the potential to represent the
more » ... o represent the dynamical effects of unresolved scales in ways which conventional bulk-formula representations are incapable of so doing. The application of stochastic physics to climate modelling is a rapidly advancing, important and innovative topic. The latest research findings are gathered together in the Theme Issue for which this paper serves as the introduction.
doi:10.1098/rsta.2008.0059 pmid:18445565 fatcat:q6t5257zzvbuliqjfgv4jbzltu