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Author Arguez, A. ; O'Brien, J. J. ; Smith, S. R.
Title The Relationship Between Low-Frequency North Atlantic Sea Surface Temperatures and Surface Temperatures over Eastern North America and Europe Type $loc['typeConference Article']
Year 2004 Publication Abbreviated Journal
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Series Editor Series Title The CRCES-IRPC Workshop on Decadal Variability, NASA, NSF, and NOAA, Waikoloa, Hawaii, USA
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 892
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Author Armstrong, E. M. ; Bourassa, M. A. ; Cram, T. ; Elya, J. L. ; Greguska, F. R., III ; Huang, T. ; Jacob, J. C. ; 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 An information technology foundation for fostering interdisciplinary oceanographic research and analysis Type $loc['typeAbstract']
Year 2018 Publication American Geophysical Union Abbreviated Journal AGU
Volume Fall Meeting
Issue Pages
Keywords 1914 Data mining, INFORMATICSDE: 4805 Biogeochemical cycles, processes, and modeling, OCEANOGRAPHY: BIOLOGICAL AND CHEMICALDE: 4273 Physical and biogeochemical interactions, OCEANOGRAPHY: GENERALDE: 4504 Air/sea interactions, OCEANOGRAPHY: PHYSICAL
Abstract Before complex analysis of oceanographic or any earth science data can occur, it must be placed in the proper domain of computing and software resources. In the past this was nearly always the scientist's personal computer or institutional computer servers. The problem with this approach is that it is necessary to bring the data products directly to these compute resources leading to large data transfers and storage requirements especially for high volume satellite or model datasets. In this presentation we will present a new technological solution under development and implementation at the NASA Jet Propulsion Laboratory for conducting oceanographic and related research based on satellite data and other sources. Fundamentally, our approach for satellite resources is to tile (partition) the data inputs into cloud-optimized and computation friendly databases that allow distributed computing resources to perform on demand and server-side computation and data analytics. This technology, known as NEXUS, has already been implemented in several existing NASA data portals to support oceanographic, sea-level, and gravity data time series analysis with capabilities to output time-average maps, correlation maps, Hovmöller plots, climatological averages and more. A further extension of this technology will integrate ocean in situ observations, event-based data discovery (e.g., natural disasters), data quality screening and additional capabilities. This particular activity is an open source project known as the Apache Science Data Analytics Platform (SDAP) (https://sdap.apache.org), and colloquially as OceanWorks, and is funded by the NASA AIST program. It harmonizes data, tools and computational resources for the researcher allowing them to focus on research results and hypothesis testing, and not be concerned with security, data preparation and management. We will present a few oceanographic and interdisciplinary use cases demonstrating the capabilities for characterizing regional sea-level rise, sea surface temperature anomalies, and ocean hurricane responses.
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Serial 1004
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Author Armstrong, E.M. ; Bourassa, M.A. ; Cram, T.A. ; DeBellis, M. ; Elya, J. ; Greguska III, F.R. ; Huang, T. ; Jacob, J.C. ; Ji, Z. ; Jiang, Y. ; Li, Y. ; Quach, N. ; McGibbney, L. ; Smith, S. ; Tsontos, V.M. ; Wilson, B. ; Worley, S.J. ; Yang, C. ; Yam, E.
Title An Integrated Data Analytics Platform Type $loc['typeJournal Article']
Year 2019 Publication Frontiers in Marine Science Abbreviated Journal Front. Mar. Sci.
Volume 6
Issue Pages 354
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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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ISSN 2296-7745
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Serial 1042
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Author Bai, X. ; Cocke, S. ; LaRow, T. E. ; O'Brien, J. J. ; Shin, D. W.
Title Paradox of SST and lower tropospheric temperature trends over the tropical Pacific ocean Type $loc['typeReport']
Year 2006 Publication Abbreviated Journal
Volume Issue Pages 2-03
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Series Editor Series Title Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation
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Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 929
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Author Banks, R. F. ; Bourassa, M. A. ; Hughes, P. ; O'Brien, J. J. ; Smith, S. R.
Title Variability of surface turbulent fluxes over the Indian Ocean Type $loc['typeConference Article']
Year 2006 Publication 14th Conference on Interactions of the Sea and Atmosphere Abbreviated Journal
Volume Issue Pages cdrom
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Call Number COAPS @ mfield @
Serial 915
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Author Banks, R. F. ; O'Brien, J. J. ; Smith, S. R.
Title Spatial and temporal variability of precipitation runs in the Southeast U.S. and their potential impact on agriculture Type $loc['typeConference Article']
Year 2005 Publication 15th AMS Conference on Applied Climatology, AMS, Savannah, GA, USA Abbreviated Journal
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Serial 895
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Author Bashmachnikov, I.L. ; Fedorov, A.M. ; Vesman, A.V. ; Belonenko, T.V. ; Dukhovskoy, D.S.
Title Thermohaline convection in the subpolar seas of the North Atlantic from satellite and in situ observations. Part 2: indices of intensity of deep convection Type $loc['typeJournal Article']
Year 2019 Publication Abbreviated Journal
Volume 16
Issue 1
Pages 191-201
Keywords deep convection, assimilation of satellite data, altimetry, water density, the Greenland Sea, the Labrador Sea, the Irminger Sea
Abstract Variation in locations of the maximum development of deep convection in the subpolar seas, taking into account their small dimensions, represent difficulty in identifying its interannual variability from usually sparse in situ data. In this work, the interannual variability of the maximum convection depth, is obtained using one of the most complete datasets ARMOR, which combines in situ and satellite data. The convection depths, derived from ARMOR, are used for testing the efficiency of two indices of convection intensity: (1) sea-level anomalies from satellite altimetry and (2) the integral water density in the areas of the most frequent development of deep convection. The first index, capturing some details, shows low correlations with the interannual variability of the deep convection intensity. The second index shows high correlation with the deep convection intensity in the Greenland, Irminger and Labrador seas. Asynchronous variations in the deep convection intensity in the Labrador-Irminger seas and in the Greenland Sea are obtained. In the Labrador and in the Irminger seas, the quasi-seven-year variations in the convection intensity are identified.
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Serial 1089
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Author Bellow, J. G.
Title Climate Forecasts for Thermal Units Prediction: Chilling Accumulation and Winter Crop Development in Alabama, Florida and Georgia Type $loc['typeConference Article']
Year 2005 Publication American Society of Agronomy meeting, Nov. 6-10, Salt Lake City, Utah, USA Abbreviated Journal
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Serial 913
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Author Bellow, J. G.
Title El Niño-Southern Oscillation Effects and Forecasting Chill Unit Accumulation for Deciduous Fruit Crops in the Southeastern USA Type $loc['typeConference Article']
Year 2006 Publication Southern Region American Society for Horticultural Science 66th Annual Meeting. Feb. 4-6, Orlando, Florida, United States Abbreviated Journal
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Serial 919
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Author Bellow, J. G. ; Nair, P. K. R. ; Martin, T. A.
Title Tree-Crop Interactions in Fruit Tree-based Agroforestry Systems in the Western Highlands of Guatemala: Component Yields and System Performance Type $loc['typeBook Chapter']
Year 2008 Publication Toward Agroforestry Design. Advances in Agroforestry Abbreviated Journal
Volume 4
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Publisher Springer
Place of Publication Dordrecht
Editor Jose, S.; Gordon, A. M.
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Serial 906
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