Winter Fog Experiment (WIFEX) develops better now-casting (next 6 hours) and forecasting of winter fog on various time and spatial scales and help reduce its adverse impact on aviation, transportation and economy, and loss of human life due to accidents. Presently, the airport fog forecast system at real-time is based upon mainly meteorological parameters alone covering synoptic- Climatological checklist and empirical methods. We need a reliable Dynamical based fog forecasting system for Fog occurrence by incorporating all fog formation parameters covering meteorological, fog Micro-physics, radiational, thermodynamical and other boundary layer processes. For attempting that, the physical and chemical characteristics of fog along with its microphysical processes responsible for its genesis, sustenance, intensity, and dissipation has to be studied. Improved understanding on the above aspects is required to develop reliable forecasting models and observational techniques for accurate prediction of Fog events.
Air pollution and Air quality research.
Numerical modeling of fog and air quality in India.
Inverse chemistry transport modeling and chemical data assimilation.
Regional and global chemistry transport modeling for air quality and process level chemistry.
Remote sensing of tropospheric trace gases and satellite data assimilation for emission inventory.
Air quality impact on health and ecosystem.
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