Armstrong, E. M., Bourassa, M. A., Cram, T. A., DeBellis, M., Elya, J., Greguska III, F. R., et al. (2019). An Integrated Data Analytics Platform. Front. Mar. Sci. , 6 , 354.
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.
Bai, X., Cocke, S., LaRow, T. E., O'Brien, J. J., & Shin, D. W. (2006). Paradox of SST and lower tropospheric temperature trends over the tropical Pacific ocean . Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
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 .
Bashmachnikov, I. L., Fedorov, A. M., Vesman, A. V., Belonenko, T. V., & Dukhovskoy, D. S. (2019). Thermohaline convection in the subpolar seas of the North Atlantic from satellite and in situ observations. Part 2: indices of intensity of deep convection.16 (1), 191–201.
Abstract: Variation in locations of the maximum development of deep convection in the subpolar seas, taking into account their small dimensions, represent difficulty in identifying its interannual variability from usually sparse in situ data. In this work, the interannual variability of the maximum convection depth, is obtained using one of the most complete datasets ARMOR, which combines in situ and satellite data. The convection depths, derived from ARMOR, are used for testing the efficiency of two indices of convection intensity: (1) sea-level anomalies from satellite altimetry and (2) the integral water density in the areas of the most frequent development of deep convection. The first index, capturing some details, shows low correlations with the interannual variability of the deep convection intensity. The second index shows high correlation with the deep convection intensity in the Greenland, Irminger and Labrador seas. Asynchronous variations in the deep convection intensity in the Labrador-Irminger seas and in the Greenland Sea are obtained. In the Labrador and in the Irminger seas, the quasi-seven-year variations in the convection intensity are identified.
Bellow, J. G. (2005). Climate Forecasts for Thermal Units Prediction: Chilling Accumulation and Winter Crop Development in Alabama, Florida and Georgia. In American Society of Agronomy meeting, Nov. 6-10, Salt Lake City, Utah, USA .
Bellow, J. G. (2006). El Niño-Southern Oscillation Effects and Forecasting Chill Unit Accumulation for Deciduous Fruit Crops in the Southeastern USA. In Southern Region American Society for Horticultural Science 66th Annual Meeting. Feb. 4-6, Orlando, Florida, United States .
Bellow, J. G., Nair, P. K. R., & Martin, T. A. (2008). Tree-Crop Interactions in Fruit Tree-based Agroforestry Systems in the Western Highlands of Guatemala: Component Yields and System Performance. In S. Jose, & A. M. Gordon (Eds.), Toward Agroforestry Design. Advances in Agroforestry (Vol. 4). Dordrecht: Springer.
Bellow, J. G., Shin, D. W., Schoof, J., Jones, J. W., & O'Brien, J. J. (2006). Contribution of temperature, precipitation, and solar radiation from dynamically downscaled global climate model to predicting peanut yields in the SE USA . Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
Bellow, J. G., Shin, D. W., Schoof, J., Jones, J., & O'Brien, J. J. (2006). Contribution of Temperature, Precipitation, and Solar Radiation from Dynamically Downscaled Global Climate Model Output to Predicting Peanut Yields and Phenology in the SE USA. In 2006 Annual Meeting of Southern Branch ASA Feb. 4-8, Orlando, Florida, United States .