Special Issue on Stochastic modelling and energy-efficient computing for weather and climate prediction in Phil Trans A

We are happy to announce that a special issue, which was edited by Tim Palmer, Peter Düben, and Hugh McNamara, on "Stochastic modelling and energy-efficient computing for weather and climate prediction" has been published in the Philosophical Transactions of the Royal Society A.

This Special Issue is based on a workshop at Oriel College Oxford in 2013 that brought together, for the first time, weather and climate modellers on the one hand and computer scientists on the other, to discuss the role of inexact and stochastic computation in weather and climate prediction. The scientific basis for inexact and stochastic computing is that the closure (or parametrisation) problem for weather and climate models is inherently stochastic. Small-scale variables in the model necessarily inherit stochasticity. As such it is wasteful to represent these small scales with excessive precision and determinism. Inexact and stochastic computing could be used to reduce the computational costs of weather and climate simulations due to savings in power consumption and an increase in computational performance without loss of accuracy. This could in turn open the door to higher resolution simulations and hence more accurate forecasts. The first steps in realising synergisms between the two scientific groups are outlined in the papers of this Special Issue.

Please visit the following website for further information: