title: Statistical variability comparison in MODIS and AERONET derived aerosol optical depth over Indo-Gangetic Plains using time series modeling.
abstract: A lot of studies in the literature of Aerosol Optical Depth (AOD) done by using Moderate Resolution Imaging Spectroradiometer (MODIS) derived data, but the accuracy of satellite data in comparison to ground data derived from ARrosol Robotic NETwork (AERONET) has been always questionable. So to overcome from this situation, comparative study of a comprehensive ground based and satellite data for the period of 2001-2012 is modeled. The time series model is used for the accurate prediction of AOD and statistical variability is compared to assess the performance of the model in both cases. Root mean square error (RMSE), mean absolute percentage error (MAPE), stationary R-squared, R-squared, maximum absolute percentage error (MAPE), normalized Bayesian information criterion (NBIC) and Ljung-Box methods are used to check the applicability and validity of the developed ARIMA models revealing significant precision in the model performance. It was found that, it is possible to predict the AOD by statistical modeling using time series obtained from past data of MODIS and AERONET as input data. Moreover, the result shows that MODIS data can be formed from AERONET data by adding 0.251627 ± 0.133589 and vice-versa by subtracting. From the forecast available for AODs for the next four years (2013-2017) by using the developed ARIMA model, it is concluded that the forecasted ground AOD has increased trend.
authors.affiliation: CSIR-National Physical Laboratory, Delhi, India.
authors.forename: Kirti
authors.initials: K
authors.lastname: Soni
authors.affiliation: Department of Mathematics, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab 144011, India. Electronic address: kulmaths@gmail.com.
authors.forename: Kulwinder Singh
authors.initials: KS
authors.lastname: Parmar
authors.affiliation: Laxmi Narayan College of Technology & Science (LNCTS), Bhopal, MP, India.
authors.forename: Sangeeta
authors.initials: S
authors.lastname: Kapoor
authors.affiliation: Thapar University, Patiala, Punjab, India.
authors.forename: Nishant
authors.initials: N
authors.lastname: Kumar
keywords: Aerosol optical depth; Atmospheric management; Kanpur AERONET; MODIS; Time series analysis