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

Vladimir V. Penenko

doi:10.1117/12.2287115

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

Кафедра математических методов геофизики ММФ

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

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.

Язык оригинала	английский
Название основной публикации	23rd International Symposium on Atmospheric and Ocean Optics
Подзаголовок основной публикации	Atmospheric Physics
Редакторы	GG Matvienko, OA Romanovskii
Издатель	SPIE
Число страниц	5
Том	10466
ISBN (электронное издание)	9781510614130
ISBN (печатное издание)	978-1-5106-1413-0
DOI	https://doi.org/10.1117/12.2287115
Состояние	Опубликовано - 1 янв 2017
Событие	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Российская Федерация Продолжительность: 3 июл 2017 → 7 июл 2017

Серия публикаций

Название	Proceedings of SPIE
Издатель	SPIE-INT SOC OPTICAL ENGINEERING
Том	10466
ISSN (печатное издание)	0277-786X

Конференция

Конференция	23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Страна	Российская Федерация
Город	Irkutsk
Период	03.07.2017 → 07.07.2017

Доступ к документу

10.1117/12.2287115

Link to publication in Scopus

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Цитировать

Penenko, V. V. (2017). Variational methods for predicting climate-environmental processes with assimilation of observational data. В GG. Matvienko, & OA. Romanovskii (Ред.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Том 10466). [104665Q] (Proceedings of SPIE; Том 10466). SPIE. https://doi.org/10.1117/12.2287115

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Penenko, VV 2017, Variational methods for predicting climate-environmental processes with assimilation of observational data. в GG Matvienko & OA Romanovskii (ред.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. том. 10466, 104665Q, Proceedings of SPIE, том. 10466, SPIE, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Irkutsk, Российская Федерация, 03.07.2017. https://doi.org/10.1117/12.2287115

Variational methods for predicting climate-environmental processes with assimilation of observational data. / Penenko, Vladimir V.

23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ред. / GG Matvienko; OA Romanovskii. Том 10466 SPIE, 2017. 104665Q (Proceedings of SPIE; Том 10466).

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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