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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
Bourassa, M.A. ; Gille, S.T. ; Bitz, C. ; Carlson, D. ; Cerovecki, I. ; Clayson, C.A. ; Cronin, M.F. ; Drennan, W.M. ; Fairall, C.W. ; Hoffman, R.N. ; Magnusdottir, G. ; Pinker, R.T. ; Renfrew, I.A. ; Serreze, M. ; Speer, K. ; Talley, L.D. ; Wick, G.A.
Title
High-Latitude Ocean and Sea Ice Surface Fluxes: Challenges for Climate Research
Type
$loc['typeJournal Article']
Year
2013
Publication
Bulletin of the American Meteorological Society
Abbreviated Journal
Bull. Amer. Meteor. Soc.
Volume
94
Issue
3
Pages
403-423
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
NASA, NOAA, USCLIVAR
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
208
Permanent link to this record
Author
Wentz, F.J. ; Ricciardulli, L. ; Rodriguez, E. ; Stiles, B.W. ; Bourassa, M.A. ; Long, D.G. ; Hoffman, R.N. ; Stoffelen, A. ; Verhoef, A. ; O'Neill, L.W. ; Farrar, J.T. ; Vandemark, D. ; Fore, A.G. ; Hristova-Veleva, S.M. ; Turk, F.J. ; Gaston, R. ; Tyler, D.
Title
Evaluating and Extending the Ocean Wind Climate Data Record
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 Obs Remote Sens
Volume
10
Issue
5
Pages
2165-2185
Keywords
Radar cross section ; remote sensing ; satellite applications ; sea surface ; wind
Abstract
Satellite microwave sensors, both active scatterometers and passive radiometers, have been systematically measuring near-surface ocean winds for nearly 40 years, establishing an important legacy in studying and monitoring weather and climate variability. As an aid to such activities, the various wind datasets are being intercalibrated and merged into consistent climate data records (CDRs). The ocean wind CDRs (OW-CDRs) are evaluated by comparisons with ocean buoys and intercomparisons among the different satellite sensors and among the different data providers. Extending the OW-CDR into the future requires exploiting all available datasets, such as OSCAT-2 scheduled to launch in July 2016. Three planned methods of calibrating the OSCAT-2 sigmao measurements include 1) direct Ku-band sigmao intercalibration to QuikSCAT and RapidScat; 2) multisensor wind speed intercalibration; and 3) calibration to stable rainforest targets. Unfortunately, RapidScat failed in August 2016 and cannot be used to directly calibrate OSCAT-2. A particular future continuity concern is the absence of scheduled new or continuation radiometer missions capable of measuring wind speed. Specialized model assimilations provide 30-year long high temporal/spatial resolution wind vector grids that composite the satellite wind information from OW-CDRs of multiple satellites viewing the Earth at different local times.
Address
Jet Propulsion Laboratory, Pasadena, CA 91109 USA
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
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
PMID:28824741; PMCID:PMC5562405
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
68
Permanent link to this record