Journal article
Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP)
Shreemat Shrestha, Murray C Peel, Graham A Moore
Atmosphere | MDPI | Published : 2018
DOI: 10.3390/atmos9100405
Abstract
The assessment of direct radiative forcing due to atmospheric aerosols (ADRF) in the Indo Gangetic Plain (IGP), which is a food basket of south Asia, is important for measuring the effect of atmospheric aerosols on the terrestrial ecosystem and for assessing the effect of aerosols on crop production in the region. Existing comprehensive analytical models to estimate ADRF require a large number of input parameters and high processing time. In this context, here, we develop a simple model to estimate daily ADRF at any location on the surface of the IGP through multiple regressions of AErosol RObotic NETwork (AERONET) aerosol optical depth (AOD) and atmospheric water vapour using data from 2002..
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Funding Acknowledgements
The lead author (S.S.) is thankful to Australian Centre for International Agricultural Research (ACIAR) for providing John Alright Fellowship (JAF) to pursue his PhD in the University of Melbourne. We thank the principal investigators and their staff for establishing and maintaining the AERONET sites used in this study. Also, thanks are owed to Brent N. Holben and AERONET team for their effort in making the data available. We also acknowledge the MODIS mission scientists and associated NASA personnel for the production of the data used in this research effort. We also would like to express our gratitude to three anonymous reviewers for their valuable suggestions in improving the manuscript.