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Author
Hoffman, R.N. ; Privé, N. ; Bourassa, M.
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
Abstract
Address
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
0003-0007
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
371
Permanent link to this record
Author
Hoffman, R.N. ; Privé, N. ; Bourassa, M.
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
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
0003-0007
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ rl18 @
Serial
990
Permanent link to this record
Author
Holbach, H.M. ; Bourassa, M.A.
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
Abstract
Address
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
1939-1404
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
21
Permanent link to this record
Author
Holbach, H.M. ; Bourassa, M.A.
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
Abstract
Address
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
Holbach, H.M. ; Uhlhorn, E.W. ; Bourassa, M.A.
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).
Address
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
0739-0572
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ rl18 @
Serial
980
Permanent link to this record
Author
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.
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.
Address
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
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1038
Permanent link to this record
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
Keywords
Abstract
Address
Corporate Author
Thesis
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
Permanent link to this record
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
Keywords
Abstract
Address
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
0739-0572
ISBN
Medium
Area
Expedition
Conference
Funding
NOAA
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
246
Permanent link to this record
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.
Address
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
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1005
Permanent link to this record
Author
Kara, A.B. ; Hurlburt, H.E. ; Wallcraft, A.J. ; Bourassa, M.A.
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
Keywords
Abstract
Address
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
0894-8755
ISBN
Medium
Area
Expedition
Conference
Funding
DOD, NRL
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
446
Permanent link to this record