Data Assimilation on CoLab Environment: Methods and Application on Two Dynamical Systems

Autores

  • Roberto P. Souto
  • Maria Eugenia S. Welter
  • Carla Osthoff F. de Barros
  • Helaine C. M. Furtado
  • Julio T. Silva
  • Juliana A. Anochi
  • Marcelo P. Ramos
  • Haroldo F. de Campos Velho
  • Luiz A. V. Dias
  • Sabrina B. S. Sambatti

DOI:

https://doi.org/10.5540/03.2023.010.01.0037

Palavras-chave:

Data assimilation methods, Lorenz system, Shallow water 2D, Octave package, Google Colab platform

Resumo

Data assimilation (DA) is an essential process to identify the best initial conditional by combining data from an observation system with a previous prediction from a numerical simulation of a given dynamical system. This paper describes the effort to develop a framework for testing different methods applied to two dynamical systems. The framework was implemented using the Google CoLab platform, and Octave free mathematical software. The dynamic systems used for testing is the Lorenz system under the chaotic regime, and 2D shallow water — for ocean circulation modeling.

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Biografia do Autor

Roberto P. Souto

LNCC/RJ

Maria Eugenia S. Welter

LNCC/RJ

Carla Osthoff F. de Barros

LNCC/RJ

Helaine C. M. Furtado

UFOPA

Julio T. Silva

UFOPA

Juliana A. Anochi

INPE

Marcelo P. Ramos

INPE

Haroldo F. de Campos Velho

INPE

Luiz A. V. Dias

ITA

Sabrina B. S. Sambatti

Independent researcher

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Publicado

2023-12-18

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