Title
Signal Analysis Of Microwave Radiometric Emissions In Hurricanes: Part 1 - Ocean Wind Speed Dependence
Abstract
Electrical engineering communications technologies contribute significantly to environmental remote sensing. In fact, microwave remote sensing is a primary tool for the measurement of critical environmental parameters, such as oceanic surface wind speed and rain rate, in hurricanes. Our understanding of hurricanes and, ultimately, the safety of people and property depend on our ability to monitor hurricanes as they develop and as they approach landfall. The Stepped Frequency Microwave Radiometer, SFMR, is a multi-frequency C-band remote sensing instrument that is routinely flown, on aircraft, into hurricanes by NOAA to measure surface wind speed and rain rate. This paper describes the development of a physics-based radiometric model to characterize surface wind speed dependent sea surface emissions. The model is validated against SFMR retrieval algorithms and measurements but, being physics-based, provides a broader, more general analysis capability, as will be described. © 2006 IEEE.
Publication Date
11-22-2006
Publication Title
Conference Proceedings - IEEE SOUTHEASTCON
Volume
2006
Number of Pages
206-211
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/second.2006.1629351
Copyright Status
Unknown
Socpus ID
33751101367 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33751101367
STARS Citation
El-Nimri, Salem Fawwaz; Johnson, James W.; and Jones, W. Linwood, "Signal Analysis Of Microwave Radiometric Emissions In Hurricanes: Part 1 - Ocean Wind Speed Dependence" (2006). Scopus Export 2000s. 8131.
https://stars.library.ucf.edu/scopus2000/8131