Huang, B., Hu, Z. - Z., Schneider, E. K., Wu, Z., Xue, Y., & Klinger, B. (2012). Influences of tropical-extratropical interaction on the multidecadal AMOC variability in the NCEP climate forecast system. Clim Dyn , 39 (3-4), 531–555.
Huang, N. E., Wu, Z., Long, S. R., Arnold, K. C., Chen, X., & Blank, K. (2009). On Instantaneous Frequency. Adv. Adapt. Data Anal. , 01 (02), 177–229.
Huang, N. E., Wu, Z., Pinzón, J. E., Parkinson, C. L., Long, S. R., Blank, K., et al. (2009). Reductions Of Noise And Uncertainty In Annual Global Surface Temperature Anomaly Data. Adv. Adapt. Data Anal. , 01 (03), 447–460.
Huang, T., Armstrong, E. M., Bourassa, M. A., Cram, T. A., Elya, J., Greguska, F., et al. (2019). An Integrated Data Analytics Platform. Mar. Sci. , 6 .
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.
Hughes, P. J. (2006). North Atlantic Decadal Variability of Ocean Surface Fluxes . Master's thesis, Florida State University, Tallahassee, FL.
Abstract: The spatial and temporal variability of the surface turbulent heat fluxes over the North Atlantic is examined using the new objectively produced FSU3 monthly mean 1°x1° gridded wind and surface flux product for 1978-2003. The FSU3 product is constructed from in situ ship and buoy observations via a variational technique. A cost function based on weighted constraints is minimized in the process of determining the surface fluxes. The analysis focuses on a low frequency (basin wide) mode of variability where the latent and sensible heat flux anomalies transition from mainly positive to negative values around 1998. It is hypothesized that the longer time scale variability is linked to changes in the large scale circulation patterns possibly associated with the Atlantic Multidecadal Oscillation (AMO; Schlesinger and Ramankutty 1994, Kerr 2000). The changes in the surface heat fluxes are forced by fluctuations in the mean wind speed. Zonal averages show a clear dissimilarity between the turbulent heat fluxes and wind speed for 1982-1997 and 1998-2003 over the region extending from the equator to roughly 40°N. Larger values are associated with the earlier time period, coinciding with a cool phase of the AMO. The separation between the two time periods is much less evident for the humidity and air/sea temperature differences. The largest differences in the latent heat fluxes, between the two time periods, occur over the tropical, Gulf Stream, and higher latitude regions of the North Atlantic, with magnitudes exceeding 15 Wm-2. The largest sensible heat flux differences are limited to areas along the New England coast and poleward of 40°N.
Hughes, P. J., Bourassa, M. A., Rolph, J., & Smith, S. R. (2006). Interdecadal Variability of Surface Heat Fluxes Over the Atlantic Ocean (J. Cote, Ed.). CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling. World Meteorological Organization.
Hughes, P. J., Bourassa, M. A., Rolph, J. J., & Smith, S. R. (2012). Averaging-Related Biases in Monthly Latent Heat Fluxes. J. Atmos. Oceanic Technol. , 29 (7), 974–986.
Hurlburt, H., Brassington, G., Drillet, Y., Kamachi, M., Benkiran, M., Bourdallé-Badie, R., et al. (2009). High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts. Oceanog. , 22 (3), 110–127.
Hurlburt, H. E., Chassignet, E. P., Cummings, J. A., Kara, A. B., Metzger, E. J., Shriver, J. F., et al. (2008). Eddy-Resolving Global Ocean Prediction. In M. W. Hecht, & H. Hasumi (Eds.), Ocean Modeling in an Eddying Regime . Washington, DC: Ocean Modeling in an Eddying Regime.
Hurlburt, H. E.: M., EJ, Richman, J. G., Chassignet, E. P., Drillet, Y., Hecht, M. W., Le Galloudec, O., et al. (2011). Dynamical Evaluation of Ocean Models Using the Gulf Stream as an Example. In B. G. Schiller A. (Ed.), Operational Oceanography in the 21st Century . Dordrecht: Springer.
