CDIAC DATA MANAGEMENT AND ARCHIVAL SUPPORT FOR A HIGH-FREQUENCY ATMOSPHERIC AND SEAWATER PCO2 DATA SET FROM 14 OPEN OCEAN MOORINGS

Alexander Kozyr, Senior Research Scientist, Oceanographic data Analyst, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Adrienne J Sutton, UW JISAO, NOAA PMEL, Seattle, WA, United States
Abstract:
One important project at CDIAC is the data management support for the Global CO2 Time-series and Moorings Project. This poster will describe the collaboration between NOAA/PMEL Mooring group and CDIAC in the data management and archival of a high-frequency atmospheric and seawater pCO2 data from 14 open ocean sites using moored autonomous systems.. Advancements in the ocean carbon observation network over the last decade, such as the development and deployment of Moored Autonomous pCO2 (MAPCO2) systems, have dramatically improved our ability to characterize ocean climate, sea-air gas exchange, and biogeochemical processes. The Moored Autonomous pCO2 (MAPCO2) system provides high-resolution surface seawater and atmospheric CO2 data that can help us understand inter-annual, seasonal, and sub-seasonal dynamics and provide constrains on the impact of short-term biogeochemical variability on CO2 fluxes. CDIAC NDP-092 provides a description of the data as well as the methods and data quality control involved in developing an open-ocean MAPCO2 data set