Altimeter Signal-to-Noise for Deep Ocean Processes in Operational Systems
Abstract
The ocean signal for this study is the sea surface height due to the slowly varying (greater than S-day) ocean processes, which are predominantly the deep ocean mesoscale. These processes arc the focus of present assimilation systems for monitoring and predicting ocean circulation due to ocean fronts and eddies and the associated environmental changes that impact real time activities in areas with depths greater than about 200 m. By this definition, signal-to-noise may be estimated directly from altimeter data sets through a crossover point analysis. The RMS variability in crossover differences is due to instrument noise, errors in environmental corrections to the satellite observation, and short time period oceanic variations. The signal-to-noise ratio indicates that shallow areas are typically not well observed due to the high frequency fluctuations. Many deep ocean areas also contain significant high frequency variability such as the subpolar latitudes, which have large atmospheric pressure systems moving through, and these in turn generate large errors in the inverse barometer correction. Understanding the spatial variations of signal to noise is a necessary prerequisite for correct assimilation of the data into operational systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 2004
- Accession Number
- ADA437330
Entities
People
- Gregg A. Jacobs
- Kirk R. Whitmer
- Ole Martin Smedstad
Organizations
- United States Naval Research Laboratory