1 April 1995 Prediction of airborne particle statistics according to weather forecasts: concentration and scattering area
J. Gottlieb, B. Fogel, Itai Dror, Zvi Y. Offer, Norman S. Kopeika
Author Affiliations +
Abstract
An effort to quantify effects of weather in the northern Negev desert on airborne particle concentration and on cross-sectional area per unit volume, so as to permit prediction according to weather, has begun. Correlations of prediction with measurement are on the order of 94% and 91%, respectively. Humidity is the dominant weather parameter, as expected, but it is not the only parameter. There is statistical significance too to solar flux, air temperature, and wind speed. The empirical model here provides a means of comparing theoretical models of effects of weather on airborne particle statistics with real-world phenomena. It is suggested that these models may well be applicable elsewhere, since the newly airborne particles are only a small fraction of the total airborne amount.
J. Gottlieb, B. Fogel, Itai Dror, Zvi Y. Offer, and Norman S. Kopeika "Prediction of airborne particle statistics according to weather forecasts: concentration and scattering area," Optical Engineering 34(4), (1 April 1995). https://doi.org/10.1117/12.197075
Published: 1 April 1995
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Cited by 4 scholarly publications.
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KEYWORDS
Particles

Atmospheric particles

Humidity

Atmospheric modeling

Aerosols

Modulation transfer functions

Meteorology

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