Introducing an Ogive method for discontinuous data

Empirical mode decomposition (EMD) is a spectral decomposition algorithm, which acts as a dyadic filter in the time-domain when extracting periodic components from turbulent atmospheric data. A new development in the algorithm allows it to work with discontinuous data. This investigation uses the discontinuous form of EMD (DEMD) to develop a new Ogive function, or cumulative flux calculation, which may be used with atmospheric data containing data gaps. The method is simple and effective, and will extend the utility of Ogives. The code is written in Matlab and available for use.