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Author Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C. url  doi
openurl 
  Title An Integrated Data Analytics Platform Type $loc['typeJournal Article']
  Year 2019 Publication Marine Science Abbreviated Journal Mar. Sci.  
  Volume 6 Issue Pages  
  Keywords big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source  
  Abstract An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA�s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery.

Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements.
 
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  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1038  
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Author Hughes, P. J. url  openurl
  Title North Atlantic Decadal Variability of Ocean Surface Fluxes Type $loc['typeManuscript']
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords Decadal, North Atlantic, Sensible Heat Flux, Latent Heat Flux, Variability  
  Abstract The spatial and temporal variability of the surface turbulent heat fluxes over the North Atlantic is examined using the new objectively produced FSU3 monthly mean 1°x1° gridded wind and surface flux product for 1978-2003. The FSU3 product is constructed from in situ ship and buoy observations via a variational technique. A cost function based on weighted constraints is minimized in the process of determining the surface fluxes. The analysis focuses on a low frequency (basin wide) mode of variability where the latent and sensible heat flux anomalies transition from mainly positive to negative values around 1998. It is hypothesized that the longer time scale variability is linked to changes in the large scale circulation patterns possibly associated with the Atlantic Multidecadal Oscillation (AMO; Schlesinger and Ramankutty 1994, Kerr 2000). The changes in the surface heat fluxes are forced by fluctuations in the mean wind speed. Zonal averages show a clear dissimilarity between the turbulent heat fluxes and wind speed for 1982-1997 and 1998-2003 over the region extending from the equator to roughly 40°N. Larger values are associated with the earlier time period, coinciding with a cool phase of the AMO. The separation between the two time periods is much less evident for the humidity and air/sea temperature differences. The largest differences in the latent heat fluxes, between the two time periods, occur over the tropical, Gulf Stream, and higher latitude regions of the North Atlantic, with magnitudes exceeding 15 Wm-2. The largest sensible heat flux differences are limited to areas along the New England coast and poleward of 40°N.  
  Address Department of Meteorology  
  Corporate Author Thesis $loc['Master's thesis']  
  Publisher Florida State University Place of Publication Tallahassee, FL Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding NOAA, NSF Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 617  
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Author Hughes, P. J.; Bourassa, M. A.; Rolph, J.; Smith, S. R. openurl 
  Title Interdecadal Variability of Surface Heat Fluxes Over the Atlantic Ocean Type $loc['typeReport']
  Year 2006 Publication Abbreviated Journal  
  Volume Issue Pages 2:17-18  
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  Publisher World Meteorological Organization Place of Publication Editor Cote, J.  
  Language Summary Language Original Title  
  Series Editor Series Title CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding NOAA, NSF Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 923  
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Author Hurlburt, H.; Brassington, G.; Drillet, Y.; Kamachi, M.; Benkiran, M.; Bourdallé-Badie, R.; Chassignet, E.; Jacobs, G.; Galloudec, O.; Lellouche, J.-M.; Metzger, E.J.; Oke, P.; Pugh, T.; Schiller, A.; Smedstad, O.; Tranchant, B.; Tsujino, H.; Usui, N.; Wallcraft, A. url  doi
openurl 
  Title High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts Type $loc['typeJournal Article']
  Year 2009 Publication Oceanography Abbreviated Journal Oceanog.  
  Volume 22 Issue 3 Pages 110-127  
  Keywords  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1042-8275 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 675  
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Author Hurlburt, H. E.; Chassignet, E. P.; Cummings, J. A.; Kara, A. B.; Metzger, E. J.; Shriver, J. F.; Smedstad, O. M.; Wallcraft, A. J.; Barron, C. N. doi  openurl
  Title Eddy-Resolving Global Ocean Prediction Type $loc['typeBook Chapter']
  Year 2008 Publication Ocean Modeling in an Eddying Regime Abbreviated Journal  
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  Publisher Ocean Modeling in an Eddying Regime Place of Publication Washington, DC Editor Hecht, M. W.; Hasumi, H.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 694  
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Author Izaurralde, R.C.; Rosenberg, N.J.; Brown, R.A.; Legler, D.M.; Tiscareño López, M.; Srinivasan, R. url  doi
openurl 
  Title Modeled effects of moderate and strong 'Los Niños' on crop productivity in North America Type $loc['typeJournal Article']
  Year 1999 Publication Agricultural and Forest Meteorology Abbreviated Journal Agricultural and Forest Meteorology  
  Volume 94 Issue 3-4 Pages 259-268  
  Keywords El Nino; El Nino Southern Oscillation (ENSO); EPIC; corn; wheat  
  Abstract  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0168-1923 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 530  
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Author Jackson, L.C.; Dubois, C.; Forget, G.; Haines, K.; Harrison, M.; Iovino, D.; Köhl, A.; Mignac, D.; Masina, S.; Peterson, K.A.; Piecuch, C.G.; Roberts, C.D.; Robson, J.; Storto, A.; Toyoda, T.; Valdivieso, M.; Wilson, C.; Wang, Y.; Zuo, H. url  doi
openurl 
  Title The Mean State and Variability of the North Atlantic Circulation: A Perspective From Ocean Reanalyses Type $loc['typeJournal Article']
  Year 2019 Publication Journal of Geophysical Research: Oceans Abbreviated Journal J. Geophys. Res. Oceans  
  Volume 124 Issue 12 Pages 8969-9003  
  Keywords  
  Abstract The transfer of Indian Ocean thermocline and intermediate waters into the South Atlantic via the Agulhas leakage is generally believed to be primarily accomplished through mesoscale eddy processes, essentially anticyclones known as Agulhas Rings. Here we take advantage of a recent eddy tracking algorithm and Argo float profiles to study the evolution and the thermohaline structure of one of these eddies over the course of 1.5 years (May 2013–November 2014). We found that during this period the ring evolved according to two different phases: During the first one, taking place in winter, the mixing layer in the eddy deepened significantly. During the second phase, the eddy subsided below the upper warmer layer of the South Atlantic subtropical gyre while propagating west. The separation of this eddy from the sea surface could explain the decrease in its surface signature in satellite altimetry maps, suggesting that such changes are not due to eddy dissipation processes. It is a very large eddy (7.1×1013 m3 in volume), extending, after subduction, from a depth of 200–1,200 m and characterized by two mode water cores. The two mode water cores represent the largest eddy heat and salt anomalies when compared with the surrounding. In terms of its impact over 1 year, the north‐westward propagation of this long‐lived anticyclone induces a transport of 2.2 Sv of water, 0.008 PW of heat, and 2.2×105 kg s−1 of salt. These results confirm that Agulhas Rings play a very important role in the Indo‐Atlantic interocean exchange of heat and salt.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2169-9275 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1080  
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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. url  openurl
  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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  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1005  
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Author Jagtap, S.S.; Jones, J.W.; Hildebrand, P.; Letson, D.; O'Brien, J.J.; Podestá, G.; Zierden, D.; Zazueta, F. url  doi
openurl 
  Title Responding to stakeholder's demands for climate information: from research to applications in Florida Type $loc['typeJournal Article']
  Year 2002 Publication Agricultural Systems Abbreviated Journal Agricultural Systems  
  Volume 74 Issue 3 Pages 415-430  
  Keywords ENSO; El Niño; Climate prediction; Agricultural decisions; Research framework  
  Abstract  
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  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0308521X ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 824  
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Author Jeon, C.-H.; Buijsman, M.C.; Wallcraft, A.J.; Shriver, J.F.; Arbic, B.K.; Richman, J.G.; Hogan, P.J. url  doi
openurl 
  Title Improving surface tidal accuracy through two-way nesting in a global ocean model Type $loc['typeJournal Article']
  Year Publication Ocean Modelling Abbreviated Journal Ocean Modelling  
  Volume Issue Pages  
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  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1463-5003 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1035  
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