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Data to Decisions: Putting NOAA Data to Work 
Virtual workshop  August 17-21, 2020

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Wednesday, August 19 • 3:00pm - 3:30pm
Virtual coffee break: Poster Discussion with Francis Bringas

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AOML Data Management for Climate Data Records (link to poster)
Introduced in the session: Coordinating Data to Decisions: Ocean Mapping, Exploration, and Characterization Strategies for the Next Ten Years

Francis Bringas (NOAA/AOML), Mayra Pazos (NOAA/AOML), Claudia Schmid (NOAA/AOML), Charita Atluri (UM/CIMAS), Jayalekshmi Thottiyilthazhe Sadanandan Nair (UM/CIMAS), Rick Lumpkin (NOAA/AOML), Gustavo Goni (NOAA/AOML)

The Atlantic Oceanographic and Meteorological Laboratory (NOAA/AOML) leads and/or participates in environmental data collection efforts at regional and global scales using a suite of oceanographic instruments, including Argo floats, Global Drifter Program surface drifters, eXpendable BathyThermographs (XBT), and underwater gliders. In addition to conducting operational activities leading to deployment, and data transmissions, NOAA/AOML has implemented quality control procedures for all data collected in order to produce data of research quality for a full range of applications. These data are critical to improve weather forecasting efforts at daily to seasonal time scales, properly initialize ocean models, understand the ocean’s role in the climate system, and predict ocean transport of marine debris, oil, and other objects.
Data from these instruments are typically transmitted in real-time (RT) via satellite and sometimes also in delayed-mode (DM) to minimize data loss due to errors during transmissions. For all the observations received, quality control (QC) procedures are applied in order to assess the quality of the data and to detect possible operational or instrument issues. QC in RT are automatic or semi-automatic procedures aiming for a quick assessment of quality before the data is disseminated through the Global Telecommunication System (GTS), and used in numerical model initialization for weather or ocean forecast. In contrast, DM QC is a detailed process that produces a high quality data set suitable for scientific research, including ocean studies, ocean monitoring and climate, and for long term archival and distribution. All data are also archived for subsequent distribution at NOAA’s National Center for Environmental Information (NCEI).
In this poster, we detail data management steps conducted at NOAA/AOML for Argo floats, surface drifters, XBT, and underwater gliders, from the time observations are received to the long term data archive.


Wednesday August 19, 2020 3:00pm - 3:30pm EDT

Attendees (7)