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Cronin, M.F. ; Gentemann, C.L. ; Edson, J. ; Ueki, I. ; Bourassa, M. ; Brown, S. ; Clayson, C.A. ; Fairall, C.W. ; Farrar, J.T. ; Gille, S.T. ; Gulev, S. ; Josey, S.A. ; Kato, S. ; Katsumata, M. ; Kent, E. ; Krug, M. ; Minnett, P.J. ; Parfitt, R. ; Pinker, R.T. ; Stackhouse Jr., P.W. ; Swart, S. ; Tomita, H. ; Vandemark, D. ; Weller, A.R. ; Yoneyama, K. ; Yu, L. ; Zhang, D.
Title
Air-Sea Fluxes With a Focus on Heat and Momentum
Type
$loc['typeJournal Article']
Year
2019
Publication
Frontiers in Marine Science
Abbreviated Journal
Front. Mar. Sci.
Volume
6
Issue
Pages
Keywords
Abstract
Turbulent and radiative exchanges of heat between the ocean and atmosphere (hereafter heat fluxes), ocean surface wind stress, and state variables used to estimate them, are Essential Ocean Variables (EOVs) and Essential Climate Variables (ECVs) influencing weather and climate. This paper describes an observational strategy for producing 3-hourly, 25-km (and an aspirational goal of hourly at 10-km) heat flux and wind stress fields over the global, ice-free ocean with breakthrough 1-day random uncertainty of 15 W m–2 and a bias of less than 5 W m–2. At present this accuracy target is met only for OceanSITES reference station moorings and research vessels (RVs) that follow best practices. To meet these targets globally, in the next decade, satellite-based observations must be optimized for boundary layer measurements of air temperature, humidity, sea surface temperature, and ocean wind stress. In order to tune and validate these satellite measurements, a complementary global in situ flux array, built around an expanded OceanSITES network of time series reference station moorings, is also needed. The array would include 500–1000 measurement platforms, including autonomous surface vehicles, moored and drifting buoys, RVs, the existing OceanSITES network of 22 flux sites, and new OceanSITES expanded in 19 key regions. This array would be globally distributed, with 1–3 measurement platforms in each nominal 10° by 10° box. These improved moisture and temperature profiles and surface data, if assimilated into Numerical Weather Prediction (NWP) models, would lead to better representation of cloud formation processes, improving state variables and surface radiative and turbulent fluxes from these models. The in situ flux array provides globally distributed measurements and metrics for satellite algorithm development, product validation, and for improving satellite-based, NWP and blended flux products. In addition, some of these flux platforms will also measure direct turbulent fluxes, which can be used to improve algorithms for computation of air-sea exchange of heat and momentum in flux products and models. With these improved air-sea fluxes, the ocean’s influence on the atmosphere will be better quantified and lead to improved long-term weather forecasts, seasonal-interannual-decadal climate predictions, and regional climate projections.
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
2296-7745
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ user @
Serial
1067
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