Title
Signal Analysis Of Microwave Radiometric Emissions In Hurricanes: Part 2 - Oceanic Rain Rate Dependence
Abstract
Communications technologies contribute significantly to environmental remote sensing. In fact, microwave remote sensing of surface wind speed and rain rate in hurricanes is critical to the numerical hurricane forecasting capability. The Stepped Frequency Microwave Radiometer, SFMR, is a C-band remote sensing instrument that is routinely flown into hurricanes by NOAA to measure surface wind speed and rain rate. This paper reports on a study of rain rate dependence in microwave signal analysis in hurricane observations and a radiative transfer model, RTM, developed for the design and calibration of future systems. SFMR measurements in recent hurricanes were used to tune the RTM, and comparisons to SFMR surface wind speed and rain rate retrievals were used to validate the RTM. © 2006 IEEE.
Publication Date
11-22-2006
Publication Title
Conference Proceedings - IEEE SOUTHEASTCON
Volume
2006
Number of Pages
212-217
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/second.2006.1629352
Copyright Status
Unknown
Socpus ID
33751116952 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33751116952
STARS Citation
Amarin, Ruba Akram; Johnson, James; and Jones, W. Linwood, "Signal Analysis Of Microwave Radiometric Emissions In Hurricanes: Part 2 - Oceanic Rain Rate Dependence" (2006). Scopus Export 2000s. 8130.
https://stars.library.ucf.edu/scopus2000/8130