Calibration and Cross Validation of a Global Wind and Wave Database of Altimeter, Radiometer, and Scatterometer Measurements

Calibration and Cross Validation of a Global Wind and Wave Database of Altimeter, Radiometer, and... AbstractA combined satellite dataset consisting of nine altimeter, 12 radiometer, and two scatterometer missions of wind speed and wave height is calibrated in a consistent manner against NDBC data and independently validated against a separate buoy dataset. The data are investigated for stability as a function of time. Instances where there are discontinuities or drift in the data are identified and accounted for in the calibration. The performance of each of the instruments at extreme values is investigated using quantile–quantile comparisons with buoy data. The various instruments are cross validated at matchup locations where satellite ground tracks cross. The resulting calibrated and cross-validated dataset is believed to represent the largest global oceanographic dataset of its type, which includes multiple instrument types calibrated in a similar fashion. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Atmospheric and Oceanic Technology American Meteorological Society

Calibration and Cross Validation of a Global Wind and Wave Database of Altimeter, Radiometer, and Scatterometer Measurements

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0426
eISSN
1520-0426
D.O.I.
10.1175/JTECH-D-16-0145.1
Publisher site
See Article on Publisher Site

Abstract

AbstractA combined satellite dataset consisting of nine altimeter, 12 radiometer, and two scatterometer missions of wind speed and wave height is calibrated in a consistent manner against NDBC data and independently validated against a separate buoy dataset. The data are investigated for stability as a function of time. Instances where there are discontinuities or drift in the data are identified and accounted for in the calibration. The performance of each of the instruments at extreme values is investigated using quantile–quantile comparisons with buoy data. The various instruments are cross validated at matchup locations where satellite ground tracks cross. The resulting calibrated and cross-validated dataset is believed to represent the largest global oceanographic dataset of its type, which includes multiple instrument types calibrated in a similar fashion.

Journal

Journal of Atmospheric and Oceanic TechnologyAmerican Meteorological Society

Published: Jun 24, 2017

References

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