Journal article

Ensemble transformation and adaptive observations

CH Bishop, Z Toth

Journal of the Atmospheric Sciences | AMER METEOROLOGICAL SOC | Published : 1999


Suppose that the geographical and temporal resolution of the observational network could be changed on a daily basis. Of all the possible deployments of observational resources, which particular deployment would minimize expected forecast error? The ensemble transform technique answers such questions by using nonlinear ensemble forecasts to rapidly construct ensemble-based approximations to the prediction error covariance matrices associated with a wide range of different possible deployments of observational resources. From these matrices, estimates of the expected forecast error associated with each distinct deployment of observational resources are obtained. The deployment that minimizes ..

View full abstract

University of Melbourne Researchers