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G. Charmaine Gilbreath

Publications and source records attributed to G. Charmaine Gilbreath.

2 recordsLinked to original sources

Humidity contribution to C_n^2 over a 600m pathlength in a tropical marine environment

We present new optical turbulence structure parameter measurements, C_n^2, over sea water between La Parguera and Magueyes Island (17.6N 67W) on the southwest coast of Puerto Rico. The 600 meter horizontal paths were located approximately 1.5 m and 10 m above sea level. No data of this type has ever been made available in the literature. Based on the data, we show that the C_n^2 measurements are about 7 times less compared to equivalent land data. This strong evidence reinforces our previous argument that humidity must be accounted for to better ascertain the near surface atmospheric turbulence effects, which current visible / near infrared C_n^2 bulk models fail to do. We also explore the generalised fractal dimension of this littoral data and compare it to our reference land data. We find cases that exhibit monofractal characteristics, that is to say, the effect of rising temperatures during the daylight hours upon turbulence are counterbalanced by humidity, leading to a single characteristic scale for the measurements. In other words, significant moisture changes in the measurement volume cancels optical turbulence increases due to temperature rises. Figures available as JPG only.

physics.ao-ph↗

Humidity's influence on visible region refractive index structure parameter $C_n^2$

In the infrared and visible bandpass, optical propagation theory conventionally assumes that humidity does not contribute to the effects of atmospheric turbulence on optical beams. While this assumption may be reasonable for dry locations, we demonstrate in this paper that there is an unequivocal effect due to the pre sence of humidity upon the strength of turbulence parameter, $C_n^2$, from data collected in the Chesapeake Bay area over 100-m length horizontal propagation paths. We describe and apply a novel technique, Hilbert Phase Analysis, to the relative humidity, temperature and $C_n^2$ data to show the contribution of the re levant climate variable to $C_n^2$ as a function of time.

physics.ao-ph↗