Paper
1 November 2006 Methods of sensitivity theory and orthogonal decomposition for studying climate dynamics and pollution
Vladimir V. Penenko, Elena A. Tsvetova
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Proceedings Volume 6522, Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics; 652223 (2006) https://doi.org/10.1117/12.723239
Event: Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics, 2006, Tomsk, Russian Federation
Abstract
Development of the methodology of forward and inverse modeling for climatic and environmental protection studies is presented. The focus is on the methods of orthogonal decomposition of fields. The application is made to construction of deterministic-stochastic scenarios for ecological studies and forecasts on the base of joint use of models and climatic data. The main algorithms are shortly described. Reanalysis data base is used for estimations of seasonal variation of informativeness of the leading subspace.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir V. Penenko and Elena A. Tsvetova "Methods of sensitivity theory and orthogonal decomposition for studying climate dynamics and pollution", Proc. SPIE 6522, Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics, 652223 (1 November 2006); https://doi.org/10.1117/12.723239
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Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Climatology

Environmental sensing

Mathematical modeling

Pollution

Process modeling

Atmospheric modeling

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