Application of Machine Learning for Atmospheric Characterization Using University of Calcutta ST Radar [post]

Goutam Kr Das
2022 unpublished
An active phased-array Stratosphere-Troposphere (ST) VHF Doppler Radar operating at 53 MHz is being installed at the University of Calcutta's Ionosphere Field Station (22.94°N, 88. 51°E, and 34°N geomagnetic latitude) in eastern India, adjacent to the northern Bay of Bengal. It is designed to measure very strong atmospheric winds, especially during the tropical cyclones that frequently hit this region.In this paper, to create machine learning solutions that are customized to the requirements of
more » ... weather and climate modelling.With this and other radars in India,models of various atmospheric parameters may be developed using measured data over a period of time as training dataset. Applying this model, it can predict the values of the atmospheric parameters for a period outside the training interval. So, the model outputs may help override huge infrastructure and resources necessary for establishing radars.
doi:10.36375/prepare_u.foset.a350 fatcat:2kvwonpzw5filoqq5gdxqjbzua