|Home||<< 1 2 3 4 5 6 >>|
|Arguez, A., O'Brien, J. J., & Smith, S. R. (2004). The Relationship Between Low-Frequency North Atlantic Sea Surface Temperatures and Surface Temperatures over Eastern North America and Europe. The CRCES-IRPC Workshop on Decadal Variability, NASA, NSF, and NOAA, Waikoloa, Hawaii, USA.|
|Arguez, A., Smith, S. R., & O'Brien, J. J. (2002). The relationship between low-frequency North Atlantic sea surface temperatures and Eastern North American climate. COAPS Technical Report 02-6. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.|
Armstrong, E. M., Bourassa, M. A., Cram, T., Elya, J. L., Greguska, F. R., III, Huang, T., et al. (2018). An information technology foundation for fostering interdisciplinary oceanographic research and analysis. In American Geophysical Union (Vol. Fall Meeting).
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.
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
|Banks, R. F., Bourassa, M. A., Hughes, P., O'Brien, J. J., & Smith, S. R. (2006). Variability of surface turbulent fluxes over the Indian Ocean. In 14th Conference on Interactions of the Sea and Atmosphere (cdrom).|
|Banks, R. F., O'Brien, J. J., & Smith, S. R. (2005). Spatial and temporal variability of precipitation runs in the Southeast U.S. and their potential impact on agriculture. In 15th AMS Conference on Applied Climatology, AMS, Savannah, GA, USA.|
|Bourassa, M. A., & Smith, S. R. (2006). Uncertainties in monthly wind fields. Climate Observation Program 4th Annual System Review, NOAA, Silver Spring, MD, USA.|
|Bourassa, M. A., Hughes, P. J., & Smith, S. R. (2008). Surface Turbulent Flux Product Comparison. Flux News, 5, 22–24.|
|Bourassa, M. A., Smith, S. R., Hughes, P., & Rolph, J. (2006). Atlantic monthly air-sea fluxes and the 2005 hurricanes. Bulletin of the American Meteorological Society, 87 (State of the Climate in 2005), 535.|
|Bourassa, M. A., Smith, S. R., & O'Brien, J. J. (2001). A new FSU winds and flux climatology. In 11th Conference on Iteractions of the Sea and Atmosphere, American Meteorological Society, San Diego, CA, USA (pp. 9–12).|
|Bourassa, M. A., Smith, S. R., & O'Brien, J. J. (2001). A new objective technique for the FSU winds. In WCRP/SCOR Workshop on Intercomparison and Validation of Ocean-Atmosphere Flux Fields, WMO, Washington, DC, USA (pp. 41–44).|