Atmospheric optics | Sukanta Basu

2026

Optics

Leveraging deep learning-based foundation models for optical turbulence (\(C_n^2\)) estimation under data scarcity

S Basu

Applied Optics, 2026

true

@article{basu2026AO_optics,
  title = {Leveraging deep learning-based foundation models for optical turbulence (\(C_n^2\)) estimation under data scarcity},
  author = {Basu, S},
  journal = {Applied Optics},
  year = {2026},
  volume = {65},
  pages = {2497--2504},
}

2025

Optics

Analysis of atmospheric turbulence dynamics during the total solar eclipse with AI-based sensing

M Vorontsov, E Polnau, S Hammel, and 2 more authors

Journal of the Optical Society of America A, 2025

Bib

@article{vorontsov2025JOSA_optics,
  title = {Analysis of atmospheric turbulence dynamics during the total solar eclipse with {AI}-based sensing},
  author = {Vorontsov, M and Polnau, E and Hammel, S and Basu, S and Hettiarachchi, D L N},
  journal = {Journal of the Optical Society of America A},
  year = {2025},
  volume = {42},
  pages = {1112--1119},
}

Optics

OTCliM: generating a near-surface climatology of optical turbulence strength (\(C_n^2\)) using gradient boosting

M Pierzyna, S Basu, and R Saathof

Artificial Intelligence for the Earth Systems, 2025

Bib

@article{pierzyna2025AIES_optics,
  title = {{OTCliM}: generating a near-surface climatology of optical turbulence strength (\(C_n^2\)) using gradient boosting},
  author = {Pierzyna, M and Basu, S and Saathof, R},
  journal = {Artificial Intelligence for the Earth Systems},
  year = {2025},
  volume = {4},
  pages = {e240076},
}

2024

Optics

Intercomparison of flux, gradient, and variance-based optical turbulence (\(C_n^2\)) parameterizations

M Pierzyna, O Hartogensis, S Basu, and 1 more author

Applied Optics, 2024

Bib Code

@article{pierzyna2024AO_optics,
  title = {Intercomparison of flux, gradient, and variance-based optical turbulence (\(C_n^2\)) parameterizations},
  author = {Pierzyna, M and Hartogensis, O and Basu, S and Saathof, R},
  journal = {Applied Optics},
  year = {2024},
  volume = {63},
  pages = {E107-E119},
}

2023

Optics

\(\Pi\)-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer

M Pierzyna, R Saathof, and S Basu

Optics Letters, 2023

Editor’s Pick, Optics Letters Bib

true

@article{pierzyna2023OL_optics,
  title = {\(\Pi\)-{ML}: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer},
  author = {Pierzyna, M and Saathof, R and Basu, S},
  journal = {Optics Letters},
  year = {2023},
  volume = {48},
  pages = {4484--4487},
}

2022

Optics

Revisiting and revising Tatarskii’s formulation for the temperature structure parameter (\(C_T^2\)) in atmospheric flows

S Basu and A A M Holtslag

Environmental Fluid Mechanics, 2022

Bib

@article{basu2022EFM_optics,
  title = {Revisiting and revising {Tatarskii’s} formulation for the temperature structure parameter (\(C_T^2\)) in atmospheric flows},
  author = {Basu, S and Holtslag, A A M},
  journal = {Environmental Fluid Mechanics},
  year = {2022},
  volume = {22},
  pages = {1107--1119},
}

2020

Optics

Mesoscale modelling of optical turbulence in the atmosphere: the need for ultrahigh vertical grid resolution

S Basu, J Osborn, P He, and 1 more author

Monthly Notices of the Royal Astronomical Society, 2020

Bib

@article{basu2020MNRAS_optics,
  title = {Mesoscale modelling of optical turbulence in the atmosphere: the need for ultrahigh vertical grid resolution},
  author = {Basu, S and Osborn, J and He, P and DeMarco, A W},
  journal = {Monthly Notices of the Royal Astronomical Society},
  year = {2020},
  volume = {497},
  pages = {2302--2308},
}

Optics

Image shift due to atmospheric refraction: Prediction by numerical weather modeling and machine learning

W Al-Younis, C Nevarez, M Abdullah-Al-Mamun, and 2 more authors

Optical Engineering, 2020

Bib

@article{al2020_optics,
  title = {Image shift due to atmospheric refraction: Prediction by numerical weather modeling and machine learning},
  author = {Al-Younis, W and Nevarez, C and Abdullah-Al-Mamun, M and Basu, S and Voelz, D},
  journal = {Optical Engineering},
  year = {2020},
  volume = {59},
  pages = {081803},
}

2017

Optics

Simulating an extreme over-the-horizon optical propagation event over lake Michigan using a coupled mesoscale modeling and ray tracing framework

S Basu

Optical Engineering, 2017

Bib Code

@article{basu2017a_optics,
  title = {Simulating an extreme over-the-horizon optical propagation event over lake {Michigan} using a coupled mesoscale modeling and ray tracing framework},
  author = {Basu, S},
  journal = {Optical Engineering},
  year = {2017},
  volume = {56},
  pages = {071505},
}

2016

Optics

Utilizing the Kantorovich metric for the validation of optical turbulence predictions

Y Wang and S Basu

Optics Letters, 2016

Bib

@article{wang2016a_optics,
  title = {Utilizing the {Kantorovich} metric for the validation of optical turbulence predictions},
  author = {Wang, Y and Basu, S},
  journal = {Optics Letters},
  year = {2016},
  volume = {41},
  pages = {4008--4011},
}

Optics

Using an artificial neural network approach to estimate surface-layer optical turbulence at Mauna Loa, Hawaii

Y Wang and S Basu

Optics Letters, 2016

Bib

@article{wang2016b_optics,
  title = {Using an artificial neural network approach to estimate surface-layer optical turbulence at {Mauna Loa, Hawaii}},
  author = {Wang, Y and Basu, S},
  journal = {Optics Letters},
  year = {2016},
  volume = {41},
  pages = {2334--2337},
}

Optics

Extending a surface-layer \(C_n^2\)model for strongly stratified conditions utilizing a numerically generated turbulence dataset

P H He and S Basu

Optics Express, 2016

Bib

@article{he2016_optics,
  title = {Extending a surface-layer \(C_n^2\) model for strongly stratified conditions utilizing a numerically generated turbulence dataset},
  author = {He, P H and Basu, S},
  journal = {Optics Express},
  year = {2016},
  volume = {24},
  pages = {9574--9582},
}

2015

Optics

A simple approach for estimating the refractive index structure parameter (\(C_n^2\)) profile in the atmosphere

S Basu

Optics Letters, 2015

Bib Code

@article{basu2015_optics,
  title = {A simple approach for estimating the refractive index structure parameter (\(C_n^2\)) profile in the atmosphere},
  author = {Basu, S},
  journal = {Optics Letters},
  year = {2015},
  volume = {40},
  pages = {4130--4133},
}

Optics

Influence of heterogeneous refractivity on optical wave propagation in coastal environments

P H He, C G Nunalee, S Basu, and 3 more authors

Meteorology and Atmospheric Physics, 2015

Bib

@article{he2015b_optics,
  title = {Influence of heterogeneous refractivity on optical wave propagation in coastal environments},
  author = {He, P H and Nunalee, C G and Basu, S and Minet, J and Vorontsov, M A and Fiorino, S T},
  journal = {Meteorology and Atmospheric Physics},
  year = {2015},
  volume = {127},
  pages = {685--699},
}

Optics

Mapping optical ray trajectories through island wake vortices

C G Nunalee, P H He, S Basu, and 3 more authors

Meteorology and Atmospheric Physics, 2015

Bib

@article{nunalee2015b_optics,
  title = {Mapping optical ray trajectories through island wake vortices},
  author = {Nunalee, C G and He, P H and Basu, S and Minet, J and Vorontsov, M A and Fiorino, S T},
  journal = {Meteorology and Atmospheric Physics},
  year = {2015},
  volume = {127},
  pages = {355--368},
}

2011

Optics

Estimating water use by Giant Reed along the Rio Grande using a large aperture scintillometer

P. H. Gowda, J. A. Goolsby, C. Yang, and 3 more authors

Subtropical Plant Science, 2011

Bib

@article{gowda2011_optics,
  title = {Estimating water use by {Giant Reed} along the {Rio Grande} using a large aperture scintillometer},
  author = {Gowda, P. H. and Goolsby, J. A. and Yang, C. and Basu, S and Racelis, A. and Howell, T. A.},
  journal = {Subtropical Plant Science},
  year = {2011},
  volume = {63},
  pages = {1--6},
}