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Author
Bentamy, A. ; Piollé, J.F. ; Grouazel, A. ; Danielson, R. ; Gulev, S. ; Paul, F. ; Azelmat, H. ; Mathieu, P.P. ; von Schuckmann, K. ; Sathyendranath, S. ; Evers-King, H. ; Esau, I. ; Johannessen, J.A. ; Clayson, C.A. ; Pinker, R.T. ; Grodsky, S.A. ; Bourassa, M. ; Smith, S.R. ; Haines, K. ; Valdivieso, M. ; Merchant, C.J. ; Chapron, B. ; Anderson, A. ; Hollmann, R. ; Josey, S.A.
Title
Review and assessment of latent and sensible heat flux accuracy over the global oceans
Type
$loc['typeJournal Article']
Year
2017
Publication
Remote Sensing of Environment
Abbreviated Journal
Remote Sensing of Environment
Volume
201
Issue
Pages
196-218
Keywords
Ocean Heat Flux ; Latent heat flux ; Sensible heat flux ; Ocean heat content ; Scatterometer ; Surface wind ; Specfic air humidity ; OceanSites ; Remotely sensed data
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
0034-4257
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
232
Permanent link to this record
Author
Culin, J. C.
Title
Wintertime ENSO Variability in Wind Direction Across the Southeast United States
Type
$loc['typeManuscript']
Year
2006
Publication
Abbreviated Journal
Volume
Issue
Pages
Keywords
Wind Roses, Southeast United States, Surface Wind Direction, ENSO, NCEP/NCAR Reanalysis
Abstract
Changes in wind direction in association with the phases of the El Niño-Southern Oscillation (ENSO) are identified over the Southeast region of the United States during the winter season (December-February). Wind roses, which depict the percentage of time the wind comes from each direction and can graphically identify the prevailing wind, are computed according to a 12-point compass for 24 stations in the region. Unfolding the wind rose into a 12-bin histogram visually demonstrates the peak frequencies in wind direction during each of the three (warm, cold and neutral) phases of ENSO. Normalized values represent the number of occurrences (counts) per month per ENSO phase, and comparison using percent changes illustrates the differences between phases. Based on similarities in wind direction characteristics, regional topography and results from a formal statistical test, stations are grouped into five geographic regions, with a representative station used to describe conditions in that region. Locations in South Florida show significant differences in the frequencies in wind direction from easterly directions during the cold phase and northerly directions during the warm phase. North Florida stations display cold phase southerly directions, and westerly and northerly directions during the warm phase, both of which are significant for much of the winter. Coastal Atlantic stations reveal winds from westerly directions for both phases. The Piedmont region demonstrates large variability in wind direction due to the influence from the Appalachian Mountains, but generally identifies warm phase and cold phase winds with more zonal influences rather than just from south or north. The Mountainous region also indicates southerly cold phase winds and northerly warm phase winds, but also reveals less of an influence from ENSO or significantly different distributions. Comparisons between observed patterns and those obtained using the NCEP/NCAR Reanalysis data reveal how the model-derived observations resolve the ENSO influence on surface wind direction at selected locations. Overall, resolution of the strength of the signals is not achieved, though the depiction of the general pattern is fair at two of the three locations. Connections between the synoptic flow and surface wind direction are examined via relationships to the storm track associated with the 250 hPa jet stream and sea level pressure patterns during each extreme ENSO phase. Discussion of reasons the NCEP reanalysis illustrates surface wind direction patterns different from those derived from observations is included.
Address
Department of Meteorology
Corporate Author
Thesis
$loc['Master's thesis']
Publisher
Florida State University
Place of Publication
Tallahassee, FL
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 @ mfield @
Serial
615
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
Yu, L. ; Jin, X.
Title
Confidence and sensitivity study of the OAFlux multisensor synthesis of the global ocean surface vector wind from 1987 onward
Type
$loc['typeJournal Article']
Year
2014
Publication
Journal of Geophysical Research: Oceans
Abbreviated Journal
J. Geophys. Res. Oceans
Volume
119
Issue
10
Pages
6842-6862
Keywords
remote sensing of ocean surface winds ; scatterometer ; passive microwave radiometer ; error analysis
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
2169-9275
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
172
Permanent link to this record