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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 22, Iss. 16 — Aug. 11, 2014
  • pp: 19595–19609

New neural-network-based method to infer total ozone column amounts and cloud effects from multi-channel, moderate bandwidth filter instruments

Lingling Fan, Wei Li, Arne Dahlback, Jakob J. Stamnes, Snorre Stamnes, and Knut Stamnes  »View Author Affiliations

Optics Express, Vol. 22, Issue 16, pp. 19595-19609 (2014)

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A new method is presented based on a radial basis function neural network (RBF-NN) to analyze data obtained by ultraviolet (UV) irradiance instruments. Application of the RBF-NN method to about three years of data obtained by a NILU-UV device, which is a multi-channel, moderate bandwidth filter instrument, revealed that compared to the traditional Look-up table (LUT) method, the RBF-NN method yielded better agreement with a 1% decrease in relative difference and an increase of 0.03 in correlation with total ozone column (TOC) values obtained from the Ozone Monitoring Instrument (OMI). Furthermore, the RBF-NN method retrieved more valid results (daily average values within a meaningful range (200–500 DU)) than the LUT method. Compared with RBF-NN retrievals, TOC values obtained from the OMI are underestimated under cloudy conditions. This finding agrees with conclusions reached by Anton and Loyola (2011).

© 2014 Optical Society of America

OCIS Codes
(010.4950) Atmospheric and oceanic optics : Ozone
(120.6200) Instrumentation, measurement, and metrology : Spectrometers and spectroscopic instrumentation
(200.4260) Optics in computing : Neural networks
(010.1615) Atmospheric and oceanic optics : Clouds

ToC Category:
Instrumentation, Measurement, and Metrology

Original Manuscript: May 9, 2014
Revised Manuscript: July 17, 2014
Manuscript Accepted: July 17, 2014
Published: August 6, 2014

Lingling Fan, Wei Li, Arne Dahlback, Jakob J. Stamnes, Snorre Stamnes, and Knut Stamnes, "New neural-network-based method to infer total ozone column amounts and cloud effects from multi-channel, moderate bandwidth filter instruments," Opt. Express 22, 19595-19609 (2014)

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