Characterizing Global Sea Surface Local Wind Variability From ASCAT Data
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-- 10 pages, 9 figures.-- The buoy data have been obtained from http://www.pmel.noaa. gov/.-- The GMI data are available from the Web site of Remote Sensing Systems (http://www.ssmi.com/)
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Format: | artículo biblioteca |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers
2022-12
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Subjects: | Advanced Scatterometer (ASCAT), Wind variability, Maximum likelihood estimator (MLE), Singularity exponent (SE), Subcell, |
Online Access: | http://hdl.handle.net/10261/286831 |
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