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Variational methods for predicting climate-environmental processes with assimilation of observational data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Section of Mathematical Methods for Geophysics

DOI

https://doi.org/10.1117/12.2287115
Final published version

Vladimir V. Penenko

Original language	English
Title of host publication	23rd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publication	Atmospheric Physics
Editors	GG Matvienko, OA Romanovskii
Publisher	SPIE
Number of pages	5
Volume	10466
ISBN (Electronic)	9781510614130
ISBN (Print)	978-1-5106-1413-0
DOIs	https://doi.org/10.1117/12.2287115
Publication status	Published - 1 Jan 2017
Event	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation Duration: 3 Jul 2017 → 7 Jul 2017

Publication series

Name	Proceedings of SPIE
Publisher	SPIE-INT SOC OPTICAL ENGINEERING
Volume	10466
ISSN (Print)	0277-786X

Conference

Conference	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Country/Territory	Russian Federation
City	Irkutsk
Period	03.07.2017 → 07.07.2017

Research areas

data assimilation, forecasting, mathematical modeling, predictability, uncertainty assessment, variational approach, MODELS, CHEMISTRY

ID: 10455570