Detecting Temperature Anomalies in Towed Sensor System Data.
Abstract
Internal turbulent mixing events, internal gravity waves and encounters with fronts in the oceans are usually accompanied by large variances of water temperature and conductivity, relative to the average background state. Long chains of densely spaced sensors are towed through the water to detect and quantify these relatively rare, random events. The time and locations of the events cannot be predicted, so these sensors must collect data continuously in order that the events can be observed. This paper demonstrates a method for real-time analysis and sorting of oceanographic data from towed sensor chains. Temporal variations of the incoming data stream are calculated, displayed, and stored in near real-time. (MM)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 14, 1995
- Accession Number
- ADA297961
Entities
People
- Richard K. Myrick
Organizations
- United States Naval Research Laboratory