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

[1]  A. Dell'Acqua,et al.  Long-term trends in aerosol optical characteristics in the Po Valley, Italy , 2014 .

[2]  P. Devara,et al.  Unusual high values of aerosol optical depth evidenced in the Arctic during summer 2011 , 2014 .

[3]  T Fontes,et al.  Can artificial neural networks be used to predict the origin of ozone episodes? , 2014, The Science of the total environment.

[4]  Naresh Kumar,et al.  Time-space Kriging to address the spatiotemporal misalignment in the large datasets. , 2013, Atmospheric environment.

[5]  Spatiotemporal modeling of irregularly spaced aerosol optical depth data , 2013, Environmental and Ecological Statistics.

[6]  L. Alados-Arboledas,et al.  Classification of aerosol radiative properties during African desert dust intrusions over southeastern Spain by sector origins and cluster analysis , 2012 .

[7]  Ariel F. Stein,et al.  Global sand and dust storms in 2008: Observation and HYSPLIT model verification , 2011 .

[8]  Chunxiang Cao,et al.  Monitoring haze episodes over the Yellow Sea by combining multisensor measurements , 2010 .

[9]  Jie Guang,et al.  Correlation between PM concentrations and aerosol optical depth in eastern China , 2009 .

[10]  Soon-Chang Yoon,et al.  Seasonal and monthly variations of columnar aerosol optical properties over East Asia determined from multi-year MODIS, LIDAR, and AERONET Sun/sky radiometer measurements , 2007 .

[11]  Luis E Olcese,et al.  A method to estimate emission rates from industrial stacks based on neural networks. , 2004, Chemosphere.

[12]  J. Lelieveld,et al.  Global Air Pollution Crossroads over the Mediterranean , 2002, Science.

[13]  Jorge Reyes,et al.  Prediction of maximum of 24-h average of PM10 concentrations 30 h in advance in Santiago, Chile , 2002 .

[14]  Risto Miikkulainen,et al.  Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.

[15]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[16]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .

[17]  Dorothy K. Hall,et al.  The aerosol at Barrow, Alaska: long-term trends and source locations , 1999 .

[18]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[19]  M. W Gardner,et al.  Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .

[20]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[21]  William J. Emery,et al.  An Automated Neural Network Cloud Classifier for Use over Land and Ocean Surfaces , 1997 .

[22]  T. Black.  The new NMC mesoscale Eta Model: description and forecast examples , 1994 .

[23]  Kurt Hornik,et al.  Some new results on neural network approximation , 1993, Neural Networks.

[24]  V. Salomonson,et al.  MODIS: advanced facility instrument for studies of the Earth as a system , 1989 .

[25]  L. Fishbein,et al.  The inductive effect of piperonyl butoxide on microsomal demethylase activity. , 1972, The Science of the total environment.