Incorporating Discrete Unmanned Maritime System Data Collections Into NCEI Synthesized Data Products

Abstract

In recent years, Unmanned Maritime Systems (UMS) have become widely used in hydrographic surveys and oceanographic studies, especially in coastal regions. NOAA's National Centers for Environmental Information (NCEI) has received an increased amount of data collected by UMS in the past 10 years. A variety of different types of data are typically collected simultaneously by UMS, which raises questions about the best practices for UMS data management. In this manuscript, we discuss enhancing the value of UMS data through integration into NCEI synthesized products. These products range from data-type specific databases like the Surface Underway Marine Database, and the World Ocean Database to analyses (value-added) products such as climatological mean fields and ocean time series of variables such as ocean heat and oxygen content. Data from Saildrones and Wave Glider missions demonstrate how data collected by Unmanned Surface Vehicles (USV) are integrated into the Surface Underway Marine Database. The integration of data from Unmanned Underwater Vehicles (UUV) systems - such as gliders - into the World Ocean Database is also described. Data management procedures and quality controls are discussed. The application of standardized methods adds long-term value to the original UMS, and improves the quality and reliability of the synthesized products. NCEI stewardship practices maximize NOAA's investment in environmental research, converting scientific insights into dynamic, usable information that inform strategy and decision making in government, academia, and the private sector.