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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 | Abbreviated Series Title | ||
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| Call Number | COAPS @ mfield @ | Serial | 892 | ||
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Arguez, A.; O'Brien, J.J.; Smith, S.R. | ||||
| Title | Air temperature impacts over Eastern North America and Europe associated with low-frequency North Atlantic SST variability | Type | $loc['typeJournal Article'] | ||
| Year | 2009 | Publication | International Journal of Climatology | Abbreviated Journal | Int. J. Climatol. |
| Volume | 29 | Issue | 1 | Pages | 1-10 |
| Keywords | SST; North Atlantic; NAO; AMO; AO; temperature impacts | ||||
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| ISSN | 0899-8418 | ISBN | Medium | ||
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| Funding | NOAA, AMS, DynCorp Information Systems, FSU, NASA, DOE | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 398 | ||
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| Author |
Arguez, A.; Smith, S. R.; O'Brien, J. J. | ||||
| Title | The relationship between low-frequency North Atlantic sea surface temperatures and Eastern North American climate | Type | $loc['typeReport'] | ||
| Year | 2002 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 55 | ||
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| Publisher | Center for Ocean-Atmospheric Prediction Studies, Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Series Editor | Series Title | COAPS Technical Report 02-6 | Abbreviated Series Title | ||
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 858 | ||
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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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| Call Number | COAPS @ user @ | Serial | 1004 | ||
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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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| Call Number | COAPS @ user @ | Serial | 1042 | ||
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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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| Call Number | COAPS @ mfield @ | Serial | 895 | ||
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| Author |
Bentamy, A.; Piollé, J.F.; Grouazel, A.; Danielson, R.; Gulev, S.; Paul, F.; Azelmat, H.; Mathieu, P.P.; von Schuckmann, K.; Sathyendranath, S.; Evers-King, H.; Esau, I.; Johannessen, J.A.; Clayson, C.A.; Pinker, R.T.; Grodsky, S.A.; Bourassa, M.; Smith, S.R.; Haines, K.; Valdivieso, M.; Merchant, C.J.; Chapron, B.; Anderson, A.; Hollmann, R.; Josey, S.A. | ||||
| Title | Review and assessment of latent and sensible heat flux accuracy over the global oceans | Type | $loc['typeJournal Article'] | ||
| Year | 2017 | Publication | Remote Sensing of Environment | Abbreviated Journal | Remote Sensing of Environment |
| Volume | 201 | Issue | Pages | 196-218 | |
| Keywords | Ocean Heat Flux; Latent heat flux; Sensible heat flux; Ocean heat content; Scatterometer; Surface wind; Specfic air humidity; OceanSites; Remotely sensed data | ||||
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| ISSN | 0034-4257 | ISBN | Medium | ||
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| Call Number | COAPS @ mfield @ | Serial | 232 | ||
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Bourassa, M. A.; Hughes, P. J.; Smith, S. R. | ||||
| Title | Surface Turbulent Flux Product Comparison | Type | $loc['typeMagazine Article'] | ||
| Year | 2008 | Publication | Flux News | Abbreviated Journal | |
| Volume | 5 | Issue | Pages | 22-24 | |
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| Funding | NSF, NOAA, COD | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 692 | ||
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Bourassa, M. A.; Smith, S. R. | ||||
| Title | Uncertainties in monthly wind fields | Type | $loc['typeReport'] | ||
| Year | 2006 | Publication | Abbreviated Journal | ||
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| Series Editor | Series Title | Climate Observation Program 4th Annual System Review, NOAA, Silver Spring, MD, USA | Abbreviated Series Title | ||
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| Funding | NOAA, NSF | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 935 | ||
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