Records |
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 |
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Pages |
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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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$loc['no'] |
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COAPS @ user @ |
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1004 |
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Author |
Buijsman, M. C.; Arbic, B. K.; Richman, J. G.; Shriver, J. F.; Wallcraft, A. J.; Zamudio, L. |
Title |
Semidiurnal internal tide incoherence in the equatorial Pacific |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
Journal of Geophysical Research – Oceans |
Abbreviated Journal |
J. Geophys. Res. Oceans |
Volume |
12 |
Issue |
7 |
Pages |
5286-5305 |
Keywords |
internal tide; nonstationarity; equatorial jets; numerical modeling; tides |
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$loc['no'] |
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COAPS @ mfield @ |
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16 |
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Author |
Chakraborty, A.; Sharma, R.; Kumar, R.; Basu, S. |
Title |
An OGCM assessment of blended OSCAT winds |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Journal of Geophysical Research: Oceans |
Abbreviated Journal |
J. Geophys. Res. Oceans |
Volume |
119 |
Issue |
1 |
Pages |
173-186 |
Keywords |
scatterometer; ocean modeling; EOF; OSCAR; MSLA; EnOI |
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2169-9275 |
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$loc['no'] |
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COAPS @ mfield @ |
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157 |
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Choi, K.-Y.; Vecchi, G.A.; Wittenberg, A.T. |
Title |
ENSO Transition, Duration, and Amplitude Asymmetries: Role of the Nonlinear Wind Stress Coupling in a Conceptual Model |
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$loc['typeJournal Article'] |
Year |
2013 |
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Journal of Climate |
Abbreviated Journal |
J. Climate |
Volume |
26 |
Issue |
23 |
Pages |
9462-9476 |
Keywords |
Atmosphere-ocean interaction; ENSO; Numerical analysis/modeling; Southern Oscillation |
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0894-8755 |
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COAPS @ mfield @ |
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210 |
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Author |
Conlon, K.C.; Kintziger, K.W.; Jagger, M.; Stefanova, L.; Uejio, C.K.; Konrad, C. |
Title |
Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
International Journal of Environmental Research and Public Health |
Abbreviated Journal |
Int J Environ Res Public Health |
Volume |
13 |
Issue |
8 |
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*Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health |
Abstract |
There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida. |
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Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3220, USA. konrad@unc.edu |
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English |
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1660-4601 |
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PMID:27517942; PMCID:PMC4997490 |
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$loc['no'] |
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COAPS @ mfield @ |
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73 |
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Dukhovskoy, D.S.; Leben, R.R.; Chassignet, E.P.; Hall, C.A.; Morey, S.L.; Nedbor-Gross, R. |
Title |
Characterization of the uncertainty of loop current metrics using a multidecadal numerical simulation and altimeter observations |
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$loc['typeJournal Article'] |
Year |
2015 |
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Deep Sea Research Part I: Oceanographic Research Papers |
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Deep Sea Research Part I: Oceanographic Research Papers |
Volume |
100 |
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140-158 |
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Eddies and mesoscale processes; Gulf of Mexico; Loop Current; Satellite altimetry; Ocean modeling; Ocean front detection |
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0967-0637 |
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$loc['no'] |
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COAPS @ mfield @ |
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100 |
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Dukhovskoy, D.S.; Morey, S.L. |
Title |
Simulation of the Hurricane Dennis storm surge and considerations for vertical resolution |
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$loc['typeJournal Article'] |
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2011 |
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Natural Hazards |
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Nat Hazards |
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58 |
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1 |
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511-540 |
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Storm surge modeling; Unstructured grid; Vertical discretization; Coastal inundation |
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0921-030X |
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$loc['no'] |
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COAPS @ mfield @ |
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303 |
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Author |
Dukhovskoy, D; Bourassa, M |
Title |
Comparison of ocean surface wind products in the perspective of ocean modeling of the Nordic Seas |
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$loc['typeConference Article'] |
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2011 |
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OCEANS 2011 |
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scatterometer winds; Arctic Ocean; ocean modeling |
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MTS/IEEE OCEANS Conference |
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$loc['no'] |
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COAPS @ mfield @ |
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315 |
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Farneti, R.; Downes, S.M.; Griffies, S.M.; Marsland, S.J.; Behrens, E.; Bentsen, M.; Bi, D.; Biastoch, A.; Böning, C.; Bozec, A.; Canuto, V.M.; Chassignet, E.; Danabasoglu, G.; Danilov, S.; Diansky, N.; Drange, H.; Fogli, P.G.; Gusev, A.; Hallberg, R.W.; Howard, A.; Ilicak, M.; Jung, T.; Kelley, M.; Large, W.G.; Leboissetier, A.; Long, M.; Lu, J.; Masina, S.; Mishra, A.; Navarra, A.; George Nurser, A.J.; Patara, L.; Samuels, B.L.; Sidorenko, D.; Tsujino, H.; Uotila, P.; Wang, Q.; Yeager, S.G. |
Title |
An assessment of Antarctic Circumpolar Current and Southern Ocean meridional overturning circulation during 1958-2007 in a suite of interannual CORE-II simulations |
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$loc['typeJournal Article'] |
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2015 |
Publication |
Ocean Modelling |
Abbreviated Journal |
Ocean Modelling |
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93 |
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84-120 |
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Global ocean–sea ice modeling; Model comparisons; Southern Ocean meridional overturning circulation; Antarctic Circumpolar Current; Southern Ocean dynamics |
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1463-5003 |
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$loc['no'] |
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COAPS @ mfield @ |
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103 |
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Author |
Glazer, R. H. |
Title |
The Influence of Mesoscale Sea Surface Temperature Gradients on Tropical Cyclones |
Type |
$loc['typeManuscript'] |
Year |
2014 |
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Air-Sea Interaction; Numerical Modeling; Sea Surface Temperature; Tropical Cyclones; Tropical Meteorology |
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Department of Earth, Ocean, and Atmospheric Science |
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$loc['Master's thesis'] |
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Florida State University |
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Tallahassee, FL |
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$loc['no'] |
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COAPS @ mfield @ |
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161 |
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