  Methods to quantify predictability properties of atmospheric flows are
proposed. The ``Extended Self Similarity'' (ESS) technique, recently employed
in turbulence data analysis, is used to characterize predictability properties
at short and long times. We apply our methods to the low-order atmospheric
model of Lorenz (1980). We also investigate how initialization procedures that
eliminate gravity waves from the model dynamics influence predictability
properties.
