Fitting Seasonal Averages with a Continuous Function
Abstract
A large-scale, integrated program in ocean circulation model development has been pursued by the ocean modeling and prediction branch, ocean sensing and prediction division, naval ocean research and development activity. This program will provide the navy with accurate nowcasts and forecasts of the state of the ocean on global, regional and tactical scales. One of the constraints that has been applied to this research is the development of circulation models that accurately reproduce the measured climatologies of south quantities as the dynamic height, thermocline depth, and depth-averaged density. These fields are derived using in situ data that have been acquired over many decades, but are so irregularly distributed that in most regions only annual or seasonal mean fields have been derived. Comparisons between model and data climatologies are facilitated if both are available as continuous time series, but the standard Levitus climatology is generally available at time scales no shorter than seasonal. This report describes several methods for converting the existing seasonal quantities into a continuous time series of fields, and also notes an amplitude error and bias present in the seasonal values as presently derived.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1991
- Accession Number
- ADA238300
Entities
People
- Daniel N. Fox
Organizations
- United States Naval Research Laboratory