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Author | Sharp, R. J.; Bourassa, M. A.; O'Brien, J. J.; Katsaros, K. B.; Forde, E. B. | ||||
Title | Early detection of tropical cyclones using Sea Winds-derived vorticity for the 2001 hurricane season | Type | $loc['typeJournal Article'] | ||
Year | 2001 | Publication | Abbreviated Journal | EOS. Trans. AGU | |
Volume | 82 | Issue | 47 | Pages | Fall meet. Suppl. Abstract OS31A-0388 |
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Funding | NASA, ONR | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 813 | ||
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Author | Smith, S.R. | ||||
Title | Focusing on improving automated meteorological observations from ships | Type | $loc['typeMagazine Article'] | ||
Year | 2004 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 85 | Issue | 34 | Pages | 319 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Funding | NOAA | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 882 | ||
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Author | Gould, W.J.; Smith, S.R. | ||||
Title | Research vessels: Underutilized assets for climate observations | Type | $loc['typeJournal Article'] | ||
Year | 2006 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 87 | Issue | 22 | Pages | 214 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Funding | NOAA | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 710 | ||
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Author | Gille, S.; Bourassa, M.A.; Clayson, C.A. | ||||
Title | Improving Observations of High-Latitude Fluxes Between Atmosphere, Ocean, and Ice: Surface Fluxes: Challenges at High Latitudes; Boulder, Colorado, 17-19 March 2010 | Type | $loc['typeMagazine Article'] | ||
Year | 2010 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 91 | Issue | 35 | Pages | 307 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Call Number | COAPS @ mfield @ | Serial | 379 | ||
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Author | Hanson, H.P.; Bozek, A.; Duerr, A.E.S. | ||||
Title | The Florida Current: A clean but challenging energy resource | Type | $loc['typeJournal Article'] | ||
Year | 2011 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 92 | Issue | 4 | Pages | 29 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Call Number | COAPS @ mfield @ | Serial | 323 | ||
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Author | Smith, S.R.; Bourassa, M.A.; Long, M. | ||||
Title | Pirate attacks affect Indian Ocean climate research | Type | $loc['typeMagazine Article'] | ||
Year | 2011 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 92 | Issue | 27 | Pages | 225 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Call Number | COAPS @ mfield @ | Serial | 325 | ||
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Author | Meyers, S.D.; O'Brien, J.J. | ||||
Title | Pacific Ocean influences atmospheric carbon dioxide | Type | $loc['typeJournal Article'] | ||
Year | 1995 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 76 | Issue | 52 | Pages | 533-533 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Call Number | COAPS @ mfield @ | Serial | 716 | ||
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Author | Bourassa, M.A.; Freilich, M.H.; Legler, D.M.; Liu, W.T.; O'Brien, J.J. | ||||
Title | Wind observations from new satellite and research vessels agree | Type | $loc['typeJournal'] | ||
Year | 1997 | Publication | Eos, Transactions American Geophysical Union | Abbreviated Journal | Eos Trans. AGU |
Volume | 78 | Issue | 51 | Pages | 597 |
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ISSN | 0096-3941 | ISBN | Medium | ||
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Call Number | COAPS @ mfield @ | Serial | 726 | ||
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Author | 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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Call Number | COAPS @ user @ | Serial | 1005 | ||
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Author | Zheng, Y.; Bourassa, M. A.; Dukhovskoy, D. S. | ||||
Title | Upper-Ocean Processes Controlling the Sea Surface Temperature in the Western Gulf of Mexico | Type | $loc['typeAbstract'] | ||
Year | 2018 | Publication | American Geophysical Union | Abbreviated Journal | AGU |
Volume | Fall Meeting | Issue | Pages | ||
Keywords | 4299 General or miscellaneous, OCEANOGRAPHY: GENERAL | ||||
Abstract | This study examines the upper-ocean processes controlling the mixed layer temperature in the western Gulf of Mexico (GOM) through estimating the contributing terms in the heat equation, with an emphasis on eddies' role. The major heat contributing terms for the upper GOM were estimated using two ocean reanalysis datasets: an eddy-resolving HYbrid Coordinate Ocean Model (HYCOM) and a Simple Ocean Data Assimilation (SODA). Analysis of net surface heat fluxes from four datasets reveals that the long-term mean net surface heat flux cools the northern GOM and warms the southern GOM. Two regions are focused for analysis: an eddy-rich region where LCEs are energetic, and the southwestern Gulf where eddy activity is relatively weak and the features of near surface temperature differ from the eddy-rich region. An eddy-rich region in the western GOM is defined based on the eddy kinetic energy derived from satellite sea surface heights. The long-term mean horizontal heat advection causes a weak warming over most of the eddy rich region, partly attributed to the flow-temperature configuration that the long-term and seasonally mean flow is nearly parallel to the corresponding mean isotherms. By contrast, the temporal mean vertical heat advection causes a strong warming in the eddy rich region, partly balancing the cooling caused by net surface heat flux. The temporal mean eddy heat flux convergence in the western GOM, whose positive and negative values are not small at some locations, appears heterogeneous in space, resulting in a small term for the western GOM when area averaged. The persistent warm water in the southwestern Gulf is primarily caused by the net warming from net surface heat flux rather than from eddies and heat advection. | ||||
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Call Number | COAPS @ user @ | Serial | 1007 | ||
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