Abstract
Improving our ability to predict fog accurately is currently a high priority for Numerical Weather Prediction models. Such an endeavour requires numerous types of observations of real fog as a means to both better understand it and also provide an assessment of model performance. We consider the use of thermal infra-red imagery, used in conjunction with other meteorological observations, for the purposes of studying fog. Two cameras were used—a FLIR Systems Inc. A655sc and a FLIR Systems Inc. A65sc—which were set up to capture one image per minute. Images were then combined to provide video footage of nocturnal fog events. Results show that the imagery from such cameras can provide great insight into fog processes and dynamics, identifying interesting features not previously seen. Furthermore, comparison of imagery with conventional meteorological observations showed that the observations were often not capable of being used to delineate all of the processes affecting fog, due to their incomplete and local nature.
Highlights
The impact of fog reaches across many aspects of human society, and has become more prevalent in recent years, principally due to the growth of the transport industry, and in particular aviation [1].The financial implication for the aviation industry can be large, for example the financial losses accrued at Gandhi International Airport in India, between 2011 and 2016, amounted to approximately3.9 million USD to airlines [2]
A possible consequence of the fog dynamics evident from the video footage is the potential for significant deposition of fog droplets onto vegetation as it either sloshes back and forth or is carried by the larger-scale flow
Advection of fog from the surrounding higher provided new data to analyse the dynamics of radiation fog
Summary
The impact of fog reaches across many aspects of human society, and has become more prevalent in recent years, principally due to the growth of the transport industry, and in particular aviation [1]. Traditional in situ observations can sometimes lack the spatial or temporal coverage required to provide a complete analysis. In this regard, new remote sensing technologies show significant potential to provide a synergistic combination with traditional instrumentation to help us obtain a fuller understanding of fog lifecycles. This system uses 300 Ah of lead-acid batteries (12V) which provide enough power for. Due to the large size of data files, data are retrieved manually from the system at regular intervals
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