Branch prediction and speculative execution: A magnetospheric data assimilation scheme for space weather forecasting

Although space weather is modeled after tropospheric weather, both in its conception as a weather system and in our efforts to forecast it, no capability exists today for assimilating magnetospheric data into space weather simulations. In this paper a scheme is proposed for assimilating magnetospheric data into a global MHD code. The scheme is similar to ensemble Kalman filters, but it is less reliant on dense data coverage and allows numerical models easier adherence to conservation laws. Three different estimates of the computational cost of the proposed scheme indicate that it is easily achievable with current computational resources.