Yu, L., & Jin, X. (2014). Insights on the OAFlux ocean surface vector wind analysis merged from scatterometers and passive microwave radiometers (1987 onward). J. Geophys. Res. Oceans , 119 (8), 5244–5269.
Paget, A. C., Bourassa, M. A., & Anguelova, M. D. (2015). Comparing in situ and satellite-based parameterizations of oceanic whitecaps. J. Geophys. Res. Oceans , 120 (4), 2826–2843.
Kent, E. C., Berry, D. I., Prytherch, J., & Roberts, J. B. (2014). A comparison of global marine surface-specific humidity datasets fromin situ observations and atmospheric reanalysis. Int. J. Climatol. , 34 (2), 355–376.
Holbach, H. M., Uhlhorn, E. W., & Bourassa, M. A. (2018). Off-Nadir SFMR Brightness Temperature Measurements in High-Wind Conditions. J. Atmos. Oceanic Technol. , 35 (9), 1865–1879.
Abstract: Wind and wave-breaking directions are investigated as potential sources of an asymmetry identified in off-nadir remotely sensed measurements of ocean surface brightness temperatures obtained by the Stepped Frequency Microwave Radiometer (SFMR) in high-wind conditions, including in tropical cyclones. Surface wind speed, which dynamically couples the atmosphere and ocean, can be inferred from SFMR ocean surface brightness temperature measurements using a radiative transfer model and an inversion algorithm. The accuracy of the ocean surface brightness temperature to wind speed calibration relies on accurate knowledge of the surface variables that are influencing the ocean surface brightness temperature. Previous studies have identified wind direction signals in horizontally polarized radiometer measurements in low to moderate (0�20 m s−1) wind conditions over a wide range of incidence angles. This study finds that the azimuthal asymmetry in the off-nadir SFMR brightness temperature measurements is also likely a function of wind direction and extends the results of these previous studies to high-wind conditions. The off-nadir measurements from the SFMR provide critical data for improving the understanding of the relationships between brightness temperature, surface wave�breaking direction, and surface wind vectors at various incidence angles, which is extremely useful for the development of geophysical model functions for instruments like the Hurricane Imaging Radiometer (HIRAD).
Misra, V., & Dirmeyer, P. A. (2009). Air, Sea, and Land Interactions of the Continental U.S. Hydroclimate. J. Hydrometeor , 10 (2), 353–373.
Rudzin, J. E., Morey, S. L., Bourassa, M. A., & Smith, S. R. (2013). The Influence of Loop Current Position on Winter Sea Surface Temperatures in the Florida Straits. Earth Interact. , 17 (16), 1–9.
Zheng, Y., Bourassa, M. A., & Hughes, P. (2013). Influences of Sea Surface Temperature Gradients and Surface Roughness Changes on the Motion of Surface Oil: A Simple Idealized Study. J. Appl. Meteor. Climatol. , 52 (7), 1561–1575.
Morey, S. L., Bourassa, M. A., Dukhovskoy, D. S., & O'Brien, J. J. (2006). Modeling studies of the upper ocean response to a tropical cyclone. Ocean Dynamics , 56 (5-6), 594–606.
Shinoda, T., Kiladis, G. N., & Roundy, P. E. (2009). Statistical representation of equatorial waves and tropical instability waves in the Pacific Ocean. In Atmospheric Research (Vol. 94, pp. 37–44).
Scott, J. P. (2011). An Intercomparison of Numerically Modeled Flux Data and Satellite-Derived Flux Data for Warm Seclusions . Master's thesis, Florida State University, Tallahassee, FL.
