Determining the Optimum Number of Harmonies to Represent Normals Based on Multiyear Data

Edward S. Epstein NOAA/NWS/NMC/CAC, Camp Springs, Maryland

Search for other papers by Edward S. Epstein in
Current site
Google Scholar
PubMed
Close
Full access

Abstract

Appropriately defined goodness-or-fit statistics are shown to provide a reasonable and objective means to determine the optimum number of harmonies to represent an annual climatology. The method is described in terms of its application, with varying degrees of success, to 5-day temperature means, their standard deviations, and to 5-day means of daily maximum and minimum temperatures.

Abstract

Appropriately defined goodness-or-fit statistics are shown to provide a reasonable and objective means to determine the optimum number of harmonies to represent an annual climatology. The method is described in terms of its application, with varying degrees of success, to 5-day temperature means, their standard deviations, and to 5-day means of daily maximum and minimum temperatures.

Save