Ocean Data Quality Control
Abstract
Automated ocean data quality procedures are presented. The procedures are logically grouped into four stages of processing, which when taken together form a complete sensor-to-protection quality control system. The main features of the different ocean observing systems assimilated by GODAE are presented along with sources and types of errors that can occur in the data. Specific quality control procedures are described that test for these errors as well as more general procedures that estimate the consistency of the data across observing systems. Performance of the external data checks in the U.S. Navy real-time ocean data quality control as an observing system monitoring tool is emphasized, and some specific examples are given of new quality control techniques developed in numerical weather prediction that have direct applicability in ocean data assimilation and forecasting systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 18, 2011
- Accession Number
- ADA554019
Entities
People
- James A. Cummings
Organizations
- United States Naval Research Laboratory