A new inverse method for determining the anomalous mean forcing functions responsible for climate change is presented. The method closes the mean field equations by representing the second order statis-tical moments as linear functions of the mean field. The coeffcients of the linear parameterisation are determined by least-squares regression. The technique successfully reproduces the anomalous forcing functions responsible for the observed change in climate simulations between the periods July 1949-1968 and 1975-1994.
|Publication status||Published - 2010|