SAMOS – A Decade of High-Quality, Underway Meteorological and Oceanographic Data from Research Vessels

Shawn R Smith1, Jeremy Rolph1, Kristen Briggs1, Jocelyn Lee Elya2 and Mark A Bourassa3, (1)Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, (2)Florida State University, Tallahassee, FL, United States, (3)Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States
The authors will describe the successes and lessons learned from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative. Over the past decade, SAMOS has acquired, quality controlled, and distributed underway surface meteorological and oceanographic observations from nearly 40 oceanographic research vessels. Research vessels provide underway observations at high-temporal frequency (1-minute sampling interval) that include navigational (position, course, heading, and speed), meteorological (air temperature, humidity, wind, surface pressure, radiation, rainfall), and oceanographic (surface sea temperature and salinity) samples. Vessels recruited to the SAMOS initiative collect a high concentration of data within the U.S. continental shelf, around Hawaii and the islands of the tropical Pacific, and frequently operate well outside routine shipping lanes, capturing observations in extreme ocean environments (Southern, Arctic, South Atlantic, and South Pacific oceans) desired by the air-sea exchange, modeling, and satellite remote sensing communities.

The presentation will highlight the data stewardship practices of the SAMOS initiative. Activities include routine automated and visual data quality evaluation, feedback to vessel technicians and operators regarding instrumentation errors, best practices for instrument siting and exposure on research vessels, and professional development activities for research vessel technicians. Best practices for data, metadata, and quality evaluation will be presented. We will discuss ongoing efforts to expand data services to enhance interoperability between marine data centers. Data access and archival protocols will also be presented, including how these data may be referenced and accessed via NCEI.