@article{wang_basu_2016, title={Using an artificial neural network approach to estimate surface-layer optical turbulence at Mauna Loa, Hawaii}, volume={41}, ISSN={["1539-4794"]}, DOI={10.1364/ol.41.002334}, abstractNote={In this Letter, an artificial neural network (ANN) approach is proposed for the estimation of optical turbulence (Cn2) in the atmospheric surface layer. Five routinely available meteorological variables are used as the inputs. Observed Cn2 data near the Mauna Loa Observatory, Hawaii are utilized for validation. The proposed approach has demonstrated its prowess by capturing the temporal evolution of Cn2 remarkably well. More interestingly, this ANN approach is found to outperform a widely used similarity theory-based conventional formulation for all the prevalent atmospheric conditions (including strongly stratified conditions).}, number={10}, journal={OPTICS LETTERS}, author={Wang, Yao and Basu, Sukanta}, year={2016}, month={May}, pages={2334–2337} }
 @article{wang_basu_2016, title={Utilizing the Kantorovich metric for the validation of optical turbulence predictions}, volume={41}, DOI={10.1364/pcdvtap.2015.pm1c.1}, abstractNote={We propose a novel framework for the estimation of Cn2 in the atmosphere. This framework only requires coarse-resolution temperature and pressure profiles as input. Observations from a field campaign over Hawaii are used for validation.}, number={17}, journal={Optics Letters}, author={Wang, Y. and Basu, S.}, year={2016}, pages={4008–4011} }
 @article{wang_basu_2014, title={Estimation of Optical Turbulence in the Atmospheric Surface Layer from Routine Meteorological Observations An Artificial Neural Network Approach}, volume={9224}, ISSN={["0277-786X"]}, DOI={10.1117/12.2063168}, abstractNote={The focus of this paper is on the estimation of optical turbulence (commonly characterized by C2n ) near the land-surface using routinely measured meteorological variables (e.g., temperature, wind speed). We demonstrate that an artificial neural network-based approach has the potential to be effectively utilized for this purpose. We use an extensive scintillometer-based C2n dataset from a recent field experiment in Texas, USA to evaluate the accuracy of the proposed approach.}, journal={LASER COMMUNICATION AND PROPAGATION THROUGH THE ATMOSPHERE AND OCEANS III}, author={Wang, Yao and Basu, Sukanta}, year={2014} }