期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 55, 期 11, 页码 6218-6227出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2017.2723431
关键词
Ensemble empirical mode decomposition (EEMD); rain; wind; X-band nautical radar
类别
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC) [NSERC 402313-2012, RGPIN-2017-04508, RGPAS-2017-507962]
- Natural Sciences and Engineering Research Council of Canada [NSERC RGPIN-2015-05289]
- Atlantic Innovation Fund Award
- Memorial University Seed, Bridge and Multidisciplinary [20151381]
In this paper, sea surface wind direction and speed are obtained from X-band nautical radar images. A data control strategy is proposed to distinguish rain-free and rain-contaminated radar data. The radar data are decomposed by an ensemble empirical mode decomposition method into several intrinsic mode functions (IMFs) and a residual. A normalization scheme is applied to the first IMF to obtain the amplitude modulation (AM) component. Wind direction is determined from the residual for the rain-free and high-wind-speed rain-contaminated data, and from the AM portion of the first IMF for the low-wind-speed rain-contaminated data, based on curve fitting a harmonic function. Wind speed is determined from a combination of the residual and the AM part of the first IMF for both rain-free and rain-contaminated data using a logarithmic relationship. Results employing ship-borne radar and anemometer data collected in a sea trial off the east coast of Canada are presented. The root-mean-square differences for wind direction and speed measurements are 11.5 degrees and 1.31 m/s, respectively, compared with reference values from anemometers.
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