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- Author or Editor: Eric Mandel x
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A review of an effort to develop an Aviation Automated Weather Observation System (AV-AWOS) for unmanned locations is given. The essential difference between AV-AWOS and currently existing automatic systems will be its capability to report sky condition and visibility. The reason for the development is presented along with a description of the initial configuration of sensors being tested. Some early visibility results are shown. Some of the results hoped for are improvements in the timeliness of providing information on significant weather changes and in the repeatability of the observations.
A review of an effort to develop an Aviation Automated Weather Observation System (AV-AWOS) for unmanned locations is given. The essential difference between AV-AWOS and currently existing automatic systems will be its capability to report sky condition and visibility. The reason for the development is presented along with a description of the initial configuration of sensors being tested. Some early visibility results are shown. Some of the results hoped for are improvements in the timeliness of providing information on significant weather changes and in the repeatability of the observations.
Abstract
A numerical model of radiation fog was developed in order to test the sensitivity of variables comprising the model, and evaluate its capability for forecasting the onset of fog from standard radiosonde weather data. Four case studies were considered that included both fog and no-fog occurrences. The variables examined–initial surface temperature and moisture conditions, eddy exchange profiles, radiative flux divergence, and dew formation–were all found to influence critically the model's performance. Prediction of fog occurrence and temperature were reasonably encouraging provided a judicious (though somewhat arbitrary) choice of eddy mixing values was made.
Abstract
A numerical model of radiation fog was developed in order to test the sensitivity of variables comprising the model, and evaluate its capability for forecasting the onset of fog from standard radiosonde weather data. Four case studies were considered that included both fog and no-fog occurrences. The variables examined–initial surface temperature and moisture conditions, eddy exchange profiles, radiative flux divergence, and dew formation–were all found to influence critically the model's performance. Prediction of fog occurrence and temperature were reasonably encouraging provided a judicious (though somewhat arbitrary) choice of eddy mixing values was made.
