Data assimilation in multiscale complex systems

Nishanth Lingala, Navaratnam Sri Namachchivaya, Hoong Chieh Yeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper develops multi-scale data assimilation/filtering algorithms that are driven by the data, that take advantage of scale interaction to appropriately reduce the dimension of the problem. We incorporate an optimal particle filtering algorithm that generates the best importance sampling density. This particle method consists of control terms in the 'prognostic' equations that nudge the particles toward the observations. Finally, we apply the optimal particle filtering algorithm to a lower dimensional chaotic system.

Original languageEnglish (US)
Title of host publication2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467371193
DOIs
StatePublished - Sep 8 2015
Event8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015 - Annecy, France
Duration: Jul 22 2015Jul 24 2015

Publication series

Name2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015

Other

Other8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Multi-Temp 2015
Country/TerritoryFrance
CityAnnecy
Period7/22/157/24/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Earth and Planetary Sciences (miscellaneous)
  • Computers in Earth Sciences

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