Motivation
The northern part of India, during winter months (Dec-Jan),
experience high fog that hinders daily activities of people like
agriculture, transportation and travel. Formation of fog is mainly
due to interaction of complex factors like moisture, aerosols and
wind, originating from Western disturbances. Recent studies
have shown that there has been increase in fog intensity since
last 10-15 years.
If there were reliable predictions of fog available, a lot of this
displeasure could have been prevented. Keeping this in mind, we
aim to forecast presence of fog accurately well in advance using
Data Science techniques. We use past data of meteorological
variables like air temperature, relative humidity, wind direction,
wind speed, atmospheric pressure etc. to develop the methods
for fog prediction. Aviation companies require such predictions
to plan their air-traffic.