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Author (up) Hughes, P.J.; Bourassa, M.A.; Rolph, J.J.; Smith, S.R.
Title Averaging-Related Biases in Monthly Latent Heat Fluxes Type $loc['typeJournal Article']
Year 2012 Publication Journal of Atmospheric and Oceanic Technology Abbreviated Journal J. Atmos. Oceanic Technol.
Volume 29 Issue 7 Pages 974-986
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0739-0572 ISBN Medium
Area Expedition Conference
Funding NOAA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 246
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Author (up) Jacob, J. C.; Armstrong, E. M.; Bourassa, M. A.; Cram, T.; Elya, J. L.; Greguska, F. R., III; Huang, T.; Ji, Z.; Jiang, Y.; Li, Y.; McGibbney, L. J.; Quach, N.; Smith, S. R.; Tsontos, V. M.; Wilson, B. D.; Worley, S. J.; Yang, C. P.
Title OceanWorks: Enabling Interactive Oceanographic Analysis in the Cloud with Multivariate Data Type $loc['typeAbstract']
Year 2018 Publication American Geophysical Union Abbreviated Journal AGU
Volume Fall Meeting Issue Pages
Keywords 910 Data assimilation, integration and fusion, INFORMATICSDE: 1916 Data and information discovery, INFORMATICSDE: 1926 Geospatial, INFORMATICSDE: 1942 Machine learning, INFORMATICS
Abstract NASA's Advanced Information System Technology (AIST) Program sponsors the OceanWorks project to establish an integrated data analytics center at the Physical Oceanography Distributed Active Archive Center (PO.DAAC). OceanWorks provides a series of interoperable capabilities that are essential for cloud-scale oceanographic research. These include big data analytics, data search with subsecond response, intelligent ranking of search results, subsetting based on data quality metrics, and rapid spatiotemporal matchup of satellite measurements with distributed in situ data. The software behind OceanWorks is being developed as an open source project in the Apache Incubator Science Data Analytics Platform (SDAP – http://sdap.apache.org). In this presentation we describe how OceanWorks enables efficient, scalable, interactive and interdisciplinary oceanographic analysis with multivariate data.

Interactivity is enabled by a number of SDAP features. First, SDAP provides Representational State Transfer (REST) interfaces to a number of built-in cloud analytics to compute time series, time-averaged maps, correlation maps, climatological maps, Hovmöller maps, and more. To access these, users simply navigate to a properly constructed parameterized URL in their web browser or issue web services calls in a variety of programming languages or in a Jupyter notebook. Alternatively, Python clients can make function calls via the NEXUS Command Line Interface (CLI). Authenticated users can even inject their own custom code via REST calls or the CLI.

To enable interdisciplinary science, OceanWorks provides access to a rich collection of multivariate satellite and in situ measurements of the oceans (e.g., sea surface temperature, height and salinity, chlorophyll and circulation) and other Earth science data (e.g., aerosol optical depth and wind speed), coupled with on-demand processing capabilities close to the data. We partition the data across space or time into tiles and store them into cloud-aware databases that are collocated with the computations. We will provide examples of scientific studies directly enabled by OceanWorks' multivariate data and cloud analytics.
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Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
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Funding Approved $loc['no']
Call Number COAPS @ user @ Serial 1005
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Author (up) Josey, S. A.; Smith, S. R.
Title Guidelines for evaluation of air-sea heat, freshwater, and momentum flux datasets Type $loc['typeMiscellaneous']
Year 2006 Publication Abbreviated Journal
Volume Issue Pages 14
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Publisher National Oceanography Center Place of Publication Southampton, UK Editor
Language Summary Language Original Title
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 939
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Author (up) Kennedy, A.J.; Griffin, M.L.; Morey, S.L.; Smith, S.R.; O'Brien, J.J.
Title Effects of El Niño-Southern Oscillation on sea level anomalies along the Gulf of Mexico coast Type $loc['typeJournal Article']
Year 2007 Publication Journal of Geophysical Research Abbreviated Journal J. Geophys. Res.
Volume 112 Issue C5 Pages
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0148-0227 ISBN Medium
Area Expedition Conference
Funding NOAA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 425
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Author (up) Kent, E.C.; Rayner, N.A.; Berry, D.I.; Eastman, R.; Grigorieva, V.G.; Huang, B.; Kennedy, J.J.; Smith, S.R.; Willett, K.M.
Title Observing Requirements for Long-Term Climate Records at the Ocean Surface Type $loc['typeJournal Article']
Year 2019 Publication Frontiers in Marine Science Abbreviated Journal Front. Mar. Sci.
Volume 6 Issue Pages 441
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Abstract Observations of conditions at the ocean surface have been made for centuries, contributing to some of the longest instrumental records of climate change. Most prominent is the climate data record (CDR) of sea surface temperature (SST), which is itself essential to the majority of activities in climate science and climate service provision. A much wider range of surface marine observations is available however, providing a rich source of data on past climate. We present a general error model describing the characteristics of observations used for the construction of climate records, illustrating the importance of multi-variate records with rich metadata for reducing uncertainty in CDRs. We describe the data and metadata requirements for the construction of stable, multi-century marine CDRs for variables important for describing the changing climate: SST, mean sea level pressure, air temperature, humidity, winds, clouds, and waves. Available sources of surface marine data are reviewed in the context of the error model. We outline the need for a range of complementary observations, including very high quality observations at a limited number of locations and also observations that sample more broadly but with greater uncertainty. We describe how high-resolution modern records, particularly those of high-quality, can help to improve the quality of observations throughout the historical record. We recommend the extension of internationally-coordinated data management and curation to observation types that do not have a primary focus of the construction of climate records. Also recommended is reprocessing the existing surface marine climate archive to improve and quantify data and metadata quality and homogeneity. We also recommend the expansion of observations from research vessels and high quality moorings, routine observations from ships and from data and metadata rescue. Other priorities include: field evaluation of sensors; resources for the process of establishing user requirements and determining whether requirements are being met; and research to estimate uncertainty, quantify biases and to improve methods of construction of CDRs. The requirements developed in this paper encompass specific actions involving a variety of stakeholders, including funding agencies, scientists, data managers, observing network operators, satellite agencies, and international co-ordination bodies.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2296-7745 ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ user @ Serial 1040
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Author (up) Legler, D. M.; Smith, S. R.; O'Brien, J. J.
Title An archive of underway surface meteorology data from WOCE Type $loc['typeConference Article']
Year 1999 Publication CLIMAR99, WMO, Vancouver, Canada Abbreviated Journal
Volume Issue Pages 42-45
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Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 783
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Author (up) Legler, D. M.; Smith, S. R.; Stricherz, J. N.
Title WOCE Southern Hemisphere Surface Meteorology Type $loc['typeMiscellaneous']
Year 1997 Publication Abbreviated Journal
Volume Issue Pages cdrom
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Publisher Center for Ocean-Atmospheric Prediction Studies, Florida State University Place of Publication Tallahassee, FL Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 732
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Author (up) Legler, D. M.; Smith, S. R.; Stricherz, J. N.
Title TOGA COARE IOP Surface Meteorology Archive [cdrom] Type $loc['typeMiscellaneous']
Year 1996 Publication Abbreviated Journal
Volume Issue Pages
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Publisher Florida State University, COAPS Place of Publication Tallahassee, FL Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @ Serial 724
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Author (up) O'Brien, J. J.; Bourassa, M. A.; Smith, S. R.
Title Climate variability in ocean surface turbulent fluxes Type $loc['typeReport']
Year 2005 Publication Abbreviated Journal
Volume Issue Pages 214-219
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Publisher NOAA Office of Climate Observation Place of Publication Silver Spring, MD, 20910. USA Editor
Language Summary Language Original Title
Series Editor Series Title Annual Report: The State of the Ocean and the Ocean Observing System for Climate Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
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Funding NOAA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 911
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Author (up) O'Brien, J. J.; Bourassa, M. A.; Smith, S. R.
Title U.S. research vessel surface meteorology data assembly center Type $loc['typeReport']
Year 2005 Publication Abbreviated Journal
Volume Issue Pages 221-228
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Abstract
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Corporate Author Thesis
Publisher NOAA Office of Climate Observation Place of Publication Silver Spring, MD, 20910. USA Editor
Language Summary Language Original Title
Series Editor Series Title Annual Report: The State of the Ocean and the Ocean Observing System for Climate Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding NOAA Approved $loc['no']
Call Number COAPS @ mfield @ Serial 912
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