Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics; Tomsk, RUSSIA; Tomsk, RUSSIA
Год издания: 2004
Идентификатор DOI: 10.1117/12.548602
Ключевые слова: ozone; ozone layer; stratosphere; atmosphere; neuroinformatics; ozone prediction; atmospheric models
Аннотация: 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 conПоказать полностьюcentration - 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 within the frame of the study performed.
Журнал: TENTH JOINT INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS/ATMOSPHERIC PHYSICS, PT 2: LASER SENSING AND ATMOSPHERIC PHYSICS
Выпуск журнала: Vol. 5397
Номера страниц: 215-222
ISSN журнала: 0277786X
Место издания: BELLINGHAM
Издатель: SPIE-INT SOC OPTICAL ENGINEERING