Estimation of optical turbulence in the atmospheric surface layer from routine meteorological observations: An artificial neural network approach

Yao Wang, Sukanta Basu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationLaser Communication and Propagation Through the Atmosphere and Oceans III
PublisherSPIE
Volume9224
ISBN (Electronic)9781628412512
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventLaser Communication and Propagation Through the Atmosphere and Oceans III - San Diego, United States
Duration: 17 Aug 201419 Aug 2014

Conference

ConferenceLaser Communication and Propagation Through the Atmosphere and Oceans III
CountryUnited States
CitySan Diego
Period17/08/1419/08/14

Keywords

  • Artificial Neural Network
  • Atmospheric Surface Layer
  • Optical Turbulence

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