Paper
23 February 2004 Identifying the causes of changing the stratospheric ozone concentration using neuronic networks
Valentin B. Kashkin, Juliy P. Lankin, Irina Yu. Sakash, Sergei V. Smirnov, Eugene A. Goncharov
Author Affiliations +
Proceedings Volume 5397, Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics; (2004) https://doi.org/10.1117/12.548602
Event: Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2003, Tomsk, Russian Federation
Abstract
The study is focused upon revealing the precursors of the spontaneous "ozone hole" (areas of the lowered concentration of ozone) formation in the stratosphere and based on neuronic network models allowing to forecast the ozone layer dynamics with limited information available, according to satellite data (time TOC - total ozone concentration - rows). According to the study findings, forecasting such jumps is possible in principle. It is important to stress that neuronic network models are suitable for predicting TOC at the most uneven intervals of time rows. It allows to reach a conclusion on stability of ozone layer properties with the frame of the study performed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valentin B. Kashkin, Juliy P. Lankin, Irina Yu. Sakash, Sergei V. Smirnov, and Eugene A. Goncharov "Identifying the causes of changing the stratospheric ozone concentration using neuronic networks", Proc. SPIE 5397, Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics, (23 February 2004); https://doi.org/10.1117/12.548602
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KEYWORDS
Ozone

Data modeling

Atmospheric physics

Error analysis

Stratosphere

Satellites

Atmospheric modeling

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