The Hurricane Imaging Radiometer: Present and future

Miller, Timothy L.; James, Mark; Roberts, J. Brent; Biswas, Moanaro; Cecil, Daniel J.; Jones, W. Linwood; Johnson, J.; Farrar, Spencer; Sahawneh, Saleem; Ruf, Christopher; Morris, Mary; Uhlhorn, Eric W.; Black, Peter G.

doi:10.1109/igarss.2013.6723174

Cited by 2 publications

(1 citation statement)

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“…Two geophysical retrieval methods have been applied to the HIRAD brightness temperature Tb data, by the Central Florida Remote Sensing Lab (CFRSL). One uses single frequency empirical wind speed and rain rate algorithms, for near real-time applications [4]; and the other uses a rigorous, radiative transfer theory based method (maximum likelihood estimation, MLE). The single frequency approach, defines major features in an image, but isn't capable of clearing rain from the wind speed retrievals.…”

Section: Introductionmentioning

confidence: 99%

Hurricane Imaging Radiometer wind speed and rain rate retrievals during the 2010 GRIP flight experiment

Sahawneh

Farrar

Johnson

et al. 2014

2014 13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

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Microwave remote sensing observations of hurricanes, from NOAA and USAF hurricane surveillance aircraft, provide vital data for hurricane research and operations, for forecasting the intensity and track of tropical storms. The current operational standard for hurricane wind speed and rain rate measurements is the Stepped Frequency Microwave Radiometer (SFMR), which is a nadir viewing passive microwave airborne remote sensor [1].The Hurricane Imaging Radiometer, HIRAD, will extend the nadir viewing SFMR capability to provide wide swath images of wind speed and rain rate, while flying on a high altitude aircraft. HIRAD was first flown in the Genesis and Rapid Intensification Processes, GRIP, NASA hurricane field experiment in 2010. This paper reports on geophysical retrieval results and provides hurricane images from GRIP flights. An overview of the HIRAD instrument and the radiative transfer theory based, wind speed/rain rate retrieval algorithm is included. Results are presented for hurricane wind speed and rain rate for Earl and Karl, with comparison to collocated SFMR retrievals and WP3D Fuselage Radar images for validation purposes.

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Section: Introductionmentioning

confidence: 99%