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Author | Hughes, P. J. | ||||
Title | North Atlantic Decadal Variability of Ocean Surface Fluxes | Type | $loc['typeManuscript'] | ||
Year | 2006 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | |||
Keywords | Decadal, North Atlantic, Sensible Heat Flux, Latent Heat Flux, Variability | ||||
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. | ||||
Address | Department of Meteorology | ||||
Corporate Author | Thesis | $loc['Master's thesis'] | |||
Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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Funding | NOAA, NSF | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 617 | ||
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Author | Hughes, P. J.; Bourassa, M. A.; Rolph, J.; Smith, S. R. | ||||
Title | Interdecadal Variability of Surface Heat Fluxes Over the Atlantic Ocean | Type | $loc['typeReport'] | ||
Year | 2006 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 2:17-18 | ||
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Publisher | World Meteorological Organization | Place of Publication | Editor | Cote, J. | |
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Series Editor | Series Title | CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling | Abbreviated Series Title | ||
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Area | Expedition | Conference | |||
Funding | NOAA, NSF | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 923 | ||
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Author | Hughes, P.J.; Bourassa, M.A.; Rolph, J.J.; Smith, S.R. | ||||
Title | Averaging-Related Biases in Monthly Latent Heat Fluxes | Type | $loc['typeJournal Article'] | ||
Year | 2012 | Publication | Journal of Atmospheric and Oceanic Technology | Abbreviated Journal | J. Atmos. Oceanic Technol. |
Volume | 29 | Issue | 7 | Pages | 974-986 |
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ISSN | 0739-0572 | ISBN | Medium | ||
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Funding | NOAA | Approved | $loc['no'] | ||
Call Number | COAPS @ mfield @ | Serial | 246 | ||
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Author | Hurlburt, H. E.; Chassignet, E. P.; Cummings, J. A.; Kara, A. B.; Metzger, E. J.; Shriver, J. F.; Smedstad, O. M.; Wallcraft, A. J.; Barron, C. N. | ||||
Title | Eddy-Resolving Global Ocean Prediction | Type | $loc['typeBook Chapter'] | ||
Year | 2008 | Publication | Ocean Modeling in an Eddying Regime | Abbreviated Journal | |
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Publisher | Ocean Modeling in an Eddying Regime | Place of Publication | Washington, DC | Editor | Hecht, M. W.; Hasumi, H. |
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ mfield @ | Serial | 694 | ||
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Author | Hurlburt, H.; Brassington, G.; Drillet, Y.; Kamachi, M.; Benkiran, M.; Bourdallé-Badie, R.; Chassignet, E.; Jacobs, G.; Galloudec, O.; Lellouche, J.-M.; Metzger, E.J.; Oke, P.; Pugh, T.; Schiller, A.; Smedstad, O.; Tranchant, B.; Tsujino, H.; Usui, N.; Wallcraft, A. | ||||
Title | High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts | Type | $loc['typeJournal Article'] | ||
Year | 2009 | Publication | Oceanography | Abbreviated Journal | Oceanog. |
Volume | 22 | Issue | 3 | Pages | 110-127 |
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Series Volume | Series Issue | Edition | |||
ISSN | 1042-8275 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ mfield @ | Serial | 675 | ||
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Author | Hurlburt, HE: Metzger, EJ; Richman, JG; Chassignet, EP; Drillet, Y; Hecht, MW; Le Galloudec, O; Shriver, JF; Xu, X; Zamudio, L | ||||
Title | Dynamical Evaluation of Ocean Models Using the Gulf Stream as an Example | Type | $loc['typeBook Chapter'] | ||
Year | 2011 | Publication | Operational Oceanography in the 21st Century | Abbreviated Journal | |
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Publisher | Springer | Place of Publication | Dordrecht | Editor | Schiller A., Brassington G. |
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ mfield @ | Serial | 321 | ||
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Author | Izaurralde, R.C.; Rosenberg, N.J.; Brown, R.A.; Legler, D.M.; Tiscareño López, M.; Srinivasan, R. | ||||
Title | Modeled effects of moderate and strong 'Los Niños' on crop productivity in North America | Type | $loc['typeJournal Article'] | ||
Year | 1999 | Publication | Agricultural and Forest Meteorology | Abbreviated Journal | Agricultural and Forest Meteorology |
Volume | 94 | Issue | 3-4 | Pages | 259-268 |
Keywords | El Nino; El Nino Southern Oscillation (ENSO); EPIC; corn; wheat | ||||
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ISSN | 0168-1923 | ISBN | Medium | ||
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ mfield @ | Serial | 530 | ||
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Author | Jackson, L.C.; Dubois, C.; Forget, G.; Haines, K.; Harrison, M.; Iovino, D.; Köhl, A.; Mignac, D.; Masina, S.; Peterson, K.A.; Piecuch, C.G.; Roberts, C.D.; Robson, J.; Storto, A.; Toyoda, T.; Valdivieso, M.; Wilson, C.; Wang, Y.; Zuo, H. | ||||
Title | The Mean State and Variability of the North Atlantic Circulation: A Perspective From Ocean Reanalyses | Type | $loc['typeJournal Article'] | ||
Year | 2019 | Publication | Journal of Geophysical Research: Oceans | Abbreviated Journal | J. Geophys. Res. Oceans |
Volume | 124 | Issue | 12 | Pages | 8969-9003 |
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Abstract | The transfer of Indian Ocean thermocline and intermediate waters into the South Atlantic via the Agulhas leakage is generally believed to be primarily accomplished through mesoscale eddy processes, essentially anticyclones known as Agulhas Rings. Here we take advantage of a recent eddy tracking algorithm and Argo float profiles to study the evolution and the thermohaline structure of one of these eddies over the course of 1.5 years (May 2013–November 2014). We found that during this period the ring evolved according to two different phases: During the first one, taking place in winter, the mixing layer in the eddy deepened significantly. During the second phase, the eddy subsided below the upper warmer layer of the South Atlantic subtropical gyre while propagating west. The separation of this eddy from the sea surface could explain the decrease in its surface signature in satellite altimetry maps, suggesting that such changes are not due to eddy dissipation processes. It is a very large eddy (7.1×1013 m3 in volume), extending, after subduction, from a depth of 200–1,200 m and characterized by two mode water cores. The two mode water cores represent the largest eddy heat and salt anomalies when compared with the surrounding. In terms of its impact over 1 year, the north‐westward propagation of this long‐lived anticyclone induces a transport of 2.2 Sv of water, 0.008 PW of heat, and 2.2×105 kg s−1 of salt. These results confirm that Agulhas Rings play a very important role in the Indo‐Atlantic interocean exchange of heat and salt. | ||||
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ISSN | 2169-9275 | ISBN | Medium | ||
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ user @ | Serial | 1080 | ||
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Author | Jacob, J. C.; Armstrong, E. M.; Bourassa, M. A.; Cram, T.; Elya, J. L.; Greguska, F. R., III; Huang, T.; 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 | OceanWorks: Enabling Interactive Oceanographic Analysis in the Cloud with Multivariate Data | Type | $loc['typeAbstract'] | ||
Year | 2018 | Publication | American Geophysical Union | Abbreviated Journal | AGU |
Volume | Fall Meeting | Issue | Pages | ||
Keywords | 910 Data assimilation, integration and fusion, INFORMATICSDE: 1916 Data and information discovery, INFORMATICSDE: 1926 Geospatial, INFORMATICSDE: 1942 Machine learning, INFORMATICS | ||||
Abstract | NASA's Advanced Information System Technology (AIST) Program sponsors the OceanWorks project to establish an integrated data analytics center at the Physical Oceanography Distributed Active Archive Center (PO.DAAC). OceanWorks provides a series of interoperable capabilities that are essential for cloud-scale oceanographic research. These include big data analytics, data search with subsecond response, intelligent ranking of search results, subsetting based on data quality metrics, and rapid spatiotemporal matchup of satellite measurements with distributed in situ data. The software behind OceanWorks is being developed as an open source project in the Apache Incubator Science Data Analytics Platform (SDAP – http://sdap.apache.org). In this presentation we describe how OceanWorks enables efficient, scalable, interactive and interdisciplinary oceanographic analysis with multivariate data. Interactivity is enabled by a number of SDAP features. First, SDAP provides Representational State Transfer (REST) interfaces to a number of built-in cloud analytics to compute time series, time-averaged maps, correlation maps, climatological maps, Hovmöller maps, and more. To access these, users simply navigate to a properly constructed parameterized URL in their web browser or issue web services calls in a variety of programming languages or in a Jupyter notebook. Alternatively, Python clients can make function calls via the NEXUS Command Line Interface (CLI). Authenticated users can even inject their own custom code via REST calls or the CLI. To enable interdisciplinary science, OceanWorks provides access to a rich collection of multivariate satellite and in situ measurements of the oceans (e.g., sea surface temperature, height and salinity, chlorophyll and circulation) and other Earth science data (e.g., aerosol optical depth and wind speed), coupled with on-demand processing capabilities close to the data. We partition the data across space or time into tiles and store them into cloud-aware databases that are collocated with the computations. We will provide examples of scientific studies directly enabled by OceanWorks' multivariate data and cloud analytics. |
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ user @ | Serial | 1005 | ||
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Author | Jagtap, S.S.; Jones, J.W.; Hildebrand, P.; Letson, D.; O'Brien, J.J.; Podestá, G.; Zierden, D.; Zazueta, F. | ||||
Title | Responding to stakeholder's demands for climate information: from research to applications in Florida | Type | $loc['typeJournal Article'] | ||
Year | 2002 | Publication | Agricultural Systems | Abbreviated Journal | Agricultural Systems |
Volume | 74 | Issue | 3 | Pages | 415-430 |
Keywords | ENSO; El Niño; Climate prediction; Agricultural decisions; Research framework | ||||
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ISSN | 0308521X | ISBN | Medium | ||
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Funding | Approved | $loc['no'] | |||
Call Number | COAPS @ mfield @ | Serial | 824 | ||
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