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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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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | 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 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 1042 | ||
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| Author | Arrocha, G. | ||||
| Title | Variability of Intraseasonal Precipitation Extremes Associated with ENSO in Panama | Type | $loc['typeManuscript'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Extreme Events Central America, Low Level Circulation | ||||
| Abstract | Extensive analysis has been conducted over past decades showing the impacts of El Niño-Southern Oscillation (ENSO) on various regions throughout the world. However, these studies have not analyzed data from many stations in Panama, or they have not analyzed long periods of observations. For these reasons, they often miss climatological differences within the region induced by topography, or they do not possess enough observations to adequately study its climatology. Accordingly, the current study focuses on ENSO impacts on precipitation specific to the Isthmus of Panama. Results will be useful for agricultural and water resources planning and Panama Canal operations. Monthly total precipitation data were provided by Empresa de Transmisión Eléctrica S.A., which includes 32 stations with records from 1960 to 2004. The year is split into three seasons: two wet seasons (Early and Late Wet), one dry season (Dry). The country is also divided into regions according to similarities in the stations' climatology and geographic locations. Upper and lower precipitation extremes are associated with one of the three ENSO phases (warm, cold or neutral) to estimate their percentages of occurrences. The differences between each ENSO phases' seasonal precipitation distributions are statistically examined. Statistical analyses show effects of ENSO phases that vary by season and geographical region. Cold and warm ENSO years affect the southwestern half of the country considerably during the Late Wet season. Cold ENSO phases tend to increase rainfall, and the warm phase tends to decrease it. The opposite is true for the Caribbean coast. The Dry season experiences drier conditions in warm ENSO years, and the Early Wet season does not show any statistically significant difference between ENSO years' rainfall distributions. | ||||
| Address | Department of Meteorology | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Call Number | COAPS @ mfield @ | Serial | 620 | ||
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| Author | Arruda, W. Z. | ||||
| Title | Eddies along western boundaries | Type | $loc['typeManuscript'] | ||
| Year | 2002 | Publication | Abbreviated Journal | ||
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| Address | Department of Oceanography | ||||
| Corporate Author | Thesis | $loc['Ph.D. thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 594 | ||
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| Author | Arruda, W.Z.; Nof, D.; O'Brien, J.J. | ||||
| Title | Does the Ulleung eddy owe its existence to beta and nonlinearities? | Type | $loc['typeJournal Article'] | ||
| Year | 2004 | Publication | Deep Sea Research Part I: Oceanographic Research Papers | Abbreviated Journal | Deep Sea Research Part I: Oceanographic Research Papers |
| Volume | 51 | Issue | 12 | Pages | 2073-2090 |
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| ISSN | 0967-0637 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 454 | ||
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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 | Abbreviated Series Title | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 929 | ||
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| Author | Baigorria, G.; Jones, J.; Shin, D.; Mishra, A.; Ingram, K. T., Jones, J. W., O'Brien, J. J., Roncoli, M. C., Fraisse, C., Breuer, N. E., Bartels, W.-L., Zierden, D. F., Letson, D. | ||||
| Title | Assessing uncertainties in crop model simulations using daily bias-corrected Regional Circulation Model outputs | Type | $loc['typeJournal Article'] | ||
| Year | 2007 | Publication | Climate Research | Abbreviated Journal | Clim. Res. |
| Volume | 34 | Issue | Pages | 211-222 | |
| Keywords | crop yield forecasts; regional circulation models; crop models; bias correction; seasonal climate forecasts | ||||
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| ISSN | 0936-577X | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 421 | ||
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| Author | Baigorria, G.A.; Jones, J.W.; O'Brien, J.J. | ||||
| Title | Understanding rainfall spatial variability in southeast USA at different timescales | Type | $loc['typeJournal Article'] | ||
| Year | 2007 | Publication | International Journal of Climatology | Abbreviated Journal | Int. J. Climatol. |
| Volume | 27 | Issue | 6 | Pages | 749-760 |
| Keywords | rainfall; climate; spatial variation; correlation matrix; semivariograms | ||||
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| ISSN | 0899-8418 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 428 | ||
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| Author | Baigorria, G.A.; Jones, J.W.; O'Brien, J.J. | ||||
| Title | Potential predictability of crop yield using an ensemble climate forecast by a regional circulation model | Type | $loc['typeJournal Article'] | ||
| Year | 2008 | Publication | Agricultural and Forest Meteorology | Abbreviated Journal | Agricultural and Forest Meteorology |
| Volume | 148 | Issue | 8-9 | Pages | 1353-1361 |
| Keywords | crop yield forecast; regional circulation models; crop models; bias-correction; principal components; statistical downscaling; CERES-Maize | ||||
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| ISSN | 0168-1923 | ISBN | Medium | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 407 | ||
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| Author | Banks, R. | ||||
| Title | Variability of Indian Ocean Surface Fluxes Using a New Objective Method | Type | $loc['typeManuscript'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | Indian Ocean Dipole Mode, Indian Ocean, Objective Method, Surface Turbulent Fluxes, Monsoon, Gridded Product | ||||
| Abstract | A new objective technique is used to analyze monthly mean gridded fields of air and sea temperature, scalar and vector wind, specific humidity, sensible and latent heat flux, and wind stress over the Indian Ocean. A variational method produces a 1°x1° gridded product of surface turbulent fluxes and the variables needed to calculate these fluxes. The surface turbulent fluxes are forced to be physically consistent with the other variables. The variational method incorporates a state of the art flux model, which should reduce regional biases in heat and moisture fluxes. The time period is January 1982 to December 2003. The wind vectors are validated through comparison to monthly scatterometer winds. Empirical orthogonal function (EOF) analyses of the annual cycle emphasize significant modes of variability in the Indian Ocean. The dominant monsoon reversal and its connection with the southeast trades are linked in eigenmodes one and two of the surface fluxes. The third eigenmode of latent and sensible heat flux reveal a structure similar to the Indian Ocean Dipole (IOD) mode. The variability in surface fluxes associated with the monsoons and IOD are discussed. September-October-November composites of the surface fluxes during the 1997 positive IOD event and the 1983 negative IOD event are examined. The composites illustrate characteristics of fluxes during different IOD phases. | ||||
| Address | Department of Meteorology | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Funding | NASA, OSU, NOAA, NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 621 | ||
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