Siddheshwar Chopra
AIAS,
Noida, Uttar Pradesh
India
Research Article
Ozone Hole Area Prediction at Earth's North and South Poles by Marvel Interface
Author(s): Siddheshwar Chopra*, Dipti Yadav , Anu Nagpal ChopraSiddheshwar Chopra*, Dipti Yadav , Anu Nagpal Chopra
This paper explores the possibility of predicting ozone hole area (Maximum Area) at North and South Pole usingArtificial Neural Network (ANN) and then developing the forecasting network by using Graphical User Interface (GUI)named MARVEL. Two models are designed for predictions: a) Ozone hole area prediction at North Pole and b)Ozone hole area prediction at South Pole. For both the models, the number of input parameters is taken as year,month, date, sunspot area, sunspot number and solar mean magnetic field. Here, more than 35 years of data isused for training purpose and then predictions are made from November 23, 2015 to September 30, 2016.Forecasting network (MARVEL) is developed to imbibe the properties of ANN. It can get trained with the most recentdata accessible to the user and then making future predictions for short (one day) and long term (months, years)durations, respective.. View More»
DOI:
10.4172/2090-4908.1000169