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.
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).
Bourassa, M. A. (2001). Tehuantepec wind and pressure changes associated with tropical cyclones. In
11th Conference on Interactions of the Sea and Atmosphere, Amer. Meteor. Soc., San Diego, CA, USA (pp. 27–28).
Bourassa, M. A. (2004). A Sea Surface Stress Parameterization Dependent on Directional Seastate. In
CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling (4.pp. 07–4.08). Geneva, Switzerland: World Meteorological Organization.
Bourassa, M. A. (2006). Satellite-based observations of surface turbulent stress during severe weather.
Atmosphere-Ocean Interactions, 2, 35–52.
Bourassa, M. A. (2009). The future of wind measurements from space.
Space News, (Nov. 23), 2.
Bourassa, M. A. (2009). Uncertainty in scatterometer derived vorticity. In
2009 IEEE International Geoscience and Remote Sensing Symposium (III-pp. 805– III-808).
Bourassa, M. A., & Gille, S. (2008). U.S. CLIVAR working groups on high latitude surface fluxes.
U.S. CLIVAR Variations, 6(1), 8–11.
Bourassa, M. A., & Hughes, P. J. (2006).
Computationally fast and accurate surface turbulent fluxes (J. Cote, Ed.). CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling. World Meteorological Organization.
Bourassa, M. A., & Hughes, P. J. (2009). Impacts of High Resolution SST Fields on Objective Analyses of Wind Fields, and Practical Constraints Related to Sampling. In
International GHRSST User Symposium, GHRSST (2).