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Evaluating and Extending the Ocean Wind Climate Data Record. | LitMetric

AI Article Synopsis

  • Satellite microwave sensors have been measuring near-surface ocean winds for almost 40 years, contributing significantly to weather and climate research through systematic data collection.
  • Various wind datasets are being intercalibrated and merged into consistent climate data records (CDRs), with evaluations done in comparison to ocean buoys and other satellite sensors.
  • Future data continuity depends on utilizing new satellite missions like OSCAT-2, which will face calibration challenges due to the failure of RapidScat, as there are currently no new radiometer missions planned to measure wind speed.

Article 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 measurements include 1) direct Ku-band 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562405PMC
http://dx.doi.org/10.1109/JSTARS.2016.2643641DOI Listing

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