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Author (up) Hoffman, R.N.; Privé, N.; Bourassa, M. url  doi
openurl 
  Title Comments on “Reanalyses and Observations: What's the Difference?” Type $loc['typeJournal Article']
  Year 2017 Publication Bulletin of the American Meteorological Society Abbreviated Journal Bull. Amer. Meteor. Soc.  
  Volume 98 Issue 11 Pages 2455-2459  
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  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0003-0007 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 371  
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Author (up) Hoffman, R.N.; Privé, N.; Bourassa, M. url  doi
openurl 
  Title Comments on “Reanalyses and Observations: What's the Difference?” Type $loc['typeJournal Article']
  Year 2017 Publication Bulletin of the American Meteorological Society Abbreviated Journal Bull. Amer. Meteor. Soc.  
  Volume 98 Issue 11 Pages 2455-2459  
  Keywords GEOPHYSICAL DATA; marine surface winds; energy and water cycles  
  Abstract Are there important differences between reanalysis data and familiar observations and measurements? If so, what are they? This essay evaluates four possible answers that relate to: the role of inference, reliance on forecasts, the need to solve an ill-posed inverse problem, and understanding of errors and uncertainties. The last of these is argued to be most significant. The importance of characterizing uncertainties associated with results—whether those results are observations or measurements, analyses or reanalyses, or forecasts—is emphasized.  
  Address  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0003-0007 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ rl18 @ Serial 990  
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Author (up) Holbach, H.M.; Bourassa, M.A. url  doi
openurl 
  Title Platform and Across-Swath Comparison of Vorticity Spectra From QuikSCAT, ASCAT-A, OSCAT, and ASCAT-B Scatterometers Type $loc['typeJournal Article']
  Year 2017 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing  
  Volume 10 Issue 5 Pages 2205-2213  
  Keywords Consistency; intercalibration; scatterometer; vorticity  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1939-1404 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 21  
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Author (up) Holbach, H.M.; Bourassa, M.A. url  doi
openurl 
  Title The Effects of Gap-Wind-Induced Vorticity, the Monsoon Trough, and the ITCZ on East Pacific Tropical Cyclogenesis Type $loc['typeJournal Article']
  Year 2014 Publication Monthly Weather Review Abbreviated Journal Mon. Wea. Rev.  
  Volume 142 Issue 3 Pages 1312-1325  
  Keywords Central America; Remote sensing; Vorticity; Valley/mountain flows; Tropical cyclones; Cyclogenesis/cyclolysis  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0027-0644 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 130  
Permanent link to this record
 

 
Author (up) Holbach, H.M.; Uhlhorn, E.W.; Bourassa, M.A. url  doi
openurl 
  Title Off-Nadir SFMR Brightness Temperature Measurements in High-Wind Conditions Type $loc['typeJournal Article']
  Year 2018 Publication Journal of Atmospheric and Oceanic Technology Abbreviated Journal J. Atmos. Oceanic Technol.  
  Volume 35 Issue 9 Pages 1865-1879  
  Keywords Tropical cyclones; Wind; Air-sea interaction; Microwave observations; Remote sensing; Surface observations  
  Abstract Wind and wave-breaking directions are investigated as potential sources of an asymmetry identified in off-nadir remotely sensed measurements of ocean surface brightness temperatures obtained by the Stepped Frequency Microwave Radiometer (SFMR) in high-wind conditions, including in tropical cyclones. Surface wind speed, which dynamically couples the atmosphere and ocean, can be inferred from SFMR ocean surface brightness temperature measurements using a radiative transfer model and an inversion algorithm. The accuracy of the ocean surface brightness temperature to wind speed calibration relies on accurate knowledge of the surface variables that are influencing the ocean surface brightness temperature. Previous studies have identified wind direction signals in horizontally polarized radiometer measurements in low to moderate (0�20 m s−1) wind conditions over a wide range of incidence angles. This study finds that the azimuthal asymmetry in the off-nadir SFMR brightness temperature measurements is also likely a function of wind direction and extends the results of these previous studies to high-wind conditions. The off-nadir measurements from the SFMR provide critical data for improving the understanding of the relationships between brightness temperature, surface wave�breaking direction, and surface wind vectors at various incidence angles, which is extremely useful for the development of geophysical model functions for instruments like the Hurricane Imaging Radiometer (HIRAD).  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0739-0572 ISBN Medium  
  Area Expedition Conference  
  Funding Approved $loc['no']  
  Call Number COAPS @ rl18 @ Serial 980  
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Author (up) Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C. url  doi
openurl 
  Title An Integrated Data Analytics Platform Type $loc['typeJournal Article']
  Year 2019 Publication Marine Science Abbreviated Journal Mar. Sci.  
  Volume 6 Issue Pages  
  Keywords big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source  
  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.
 
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  Funding Approved $loc['no']  
  Call Number COAPS @ user @ Serial 1038  
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Author (up) Hughes, P. J.; Bourassa, M. A.; Rolph, J.; Smith, S. R. openurl 
  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.  
  Language Summary Language Original Title  
  Series Editor Series Title CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Funding NOAA, NSF Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 923  
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Author (up) Hughes, P.J.; Bourassa, M.A.; Rolph, J.J.; Smith, S.R. url  doi
openurl 
  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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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0739-0572 ISBN Medium  
  Area Expedition Conference  
  Funding NOAA Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 246  
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Author (up) 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. url  openurl
  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 (up) Kara, A.B.; Hurlburt, H.E.; Wallcraft, A.J.; Bourassa, M.A. url  doi
openurl 
  Title Black Sea Mixed Layer Sensitivity to Various Wind and Thermal Forcing Products on Climatological Time Scales Type $loc['typeJournal Article']
  Year 2005 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 18 Issue 24 Pages 5266-5293  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0894-8755 ISBN Medium  
  Area Expedition Conference  
  Funding DOD, NRL Approved $loc['no']  
  Call Number COAPS @ mfield @ Serial 446  
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