A method to estimate missing AERONET AOD values based on artificial neural networks

LUIS E. OLCESE; GUSTAVO G. PALANCAR; BEATRIZ M. TOSELLI

PERGAMON-ELSEVIER SCIENCE LTD

Lugar: Amsterdam; Año: 2015 vol. 113 p. 140 - 140

gt;In this work, we present a method to predict missing aerosol optical depth (AOD) values at an AERONETstation. The aim of the method is to fill gaps and/or to extrapolate temporal series in the station datasets,i.e. to obtain AOD values under cloudy sky conditions and in other situations where there is a temporary