Share Email Print
cover

Proceedings Paper

Variational methods for predicting climate-environmental processes with assimilation of observational data
Author(s): Vladimir V. Penenko
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Prospective issues of the organization of modeling technology for studying climatic and environmental processes and solving practical problems are discussed. We study the problems of predictability analysis and uncertainty estimates. To this goal, the combination of process models and observational data is carried out within the framework of the variational principle with weak constraints. This makes it possible to obtain the direct non-iterative algorithms for estimating the state and uncertainty functions.

Paper Details

Date Published: 30 November 2017
PDF: 5 pages
Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104665Q (30 November 2017); doi: 10.1117/12.2287115
Show Author Affiliations
Vladimir V. Penenko, Institute of Computational Mathematics and Mathematical Geophysics (Russian Federation)
Novosibirsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10466:
23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

© SPIE. Terms of Use
Back to Top