Numerical methods for Data Assimilation

Simulation

Method

Download the program

  • heat_1D

simulation

Simulation

We simulate a simple 1D homogene heat equation given by :

  • We perturb the initial condition with

  • The approximative solution is obtened by the -schema

  • Routine for the integration of the dynamical model l_next_iteration.m

  • Tangent linear model d_next_iterate.m

  • Choise configuration

    • Overdetermined case, no noise'

    • Underdetermined case, no noise

    • Overdetermined, noisy case

    • Underdetermined, noisy case

    • Undertetermined no Noise - regularization

    • Overdetermined noise - regularization

    • Underdetermined, noisy case

  • Operators

    • Apply Binv.m

    • Apply Rinv.m

    • Apply observation operator hh.m

    • Apply generalized observation operator h.m

    • Apply generalized adjoint observation operator ht.m

    • For preconditionning B.m

  • Generate observation from truth observation.m

  • Perform minimization by choising method : fomos.m rpcg.m cg.

MethodExample of Hands-on

  1. Read the content of the program

  2. Launch the program main

  3. Choise the case 'Overdetermined case, no noise'

  4. And the minimization method 'STANDARD CG OUTER LOOP'

  5. You obtain the result present as:

cost function
solution
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HomepageHomepagePrintPrint S. Gratton and Ph. Toint, submitted to Open Learn. Res. Ed. INPT 0502 (2013) 6h Attribution - Share AlikeCreated with Scenari (new window)