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

Mesick, Sharon; Wang, Zhankun; Mishonov, Alexey; Boyer, Tim; Zhang, Huai-min

doi:10.1109/IEEECONF38699.2020.9389421

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

2021
By Mesick, Sharon ; Wang, Zhankun ; Mishonov, Alexey ; ...
Source: IEEE: Global Oceans 2020: Singapore – U.S. Gulf Coast

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Journal Title:

IEEE: Global Oceans 2020: Singapore – U.S. Gulf Coast
Personal Author:

Mesick, Sharon ; Wang, Zhankun ; Mishonov, Alexey ; Boyer, Tim ; Zhang, Huai-min

Mesick, Sharon ; Wang, Zhankun ; Mishonov, Alexey ; Boyer, Tim ; Zhang, Huai-min Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CISESS (Cooperative Institute for Satellite Earth System Studies) ; OAR (Oceanic and Atmospheric Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CISESS (Cooperative Institute for Satellite Earth System Studies) ; OAR (Oceanic and Atmospheric Research) Less -
Description:

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.
Keywords:

[+]

Autonomous Underwater Vehicles Surface Waves (Oceanography) Time Series Analysis
Source:

IEEE: Global Oceans 2020: Singapore – U.S. Gulf Coast
DOI:

https://doi.org/10.1109/IEEECONF38699.2020.9389421
Document Type:

Journal Article
Funding:

Grant no. NA180AR4170438
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Accepted Manuscript
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Submitted
Main Document Checksum:

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urn:sha256:704288c0002b04a2f3e67573e35aa90b74da18b915f204724aa3e0f8fd68e262
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https://staging-noaa.cdc.gov/view/noaa/34113/noaa_34113_DS1.pdf
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Incorporating Discrete Unmanned Maritime System Data Collections Into NCEI Synthesized Data Products

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