[Eoas-seminar] Seminar Announcement for Thursday, March 8 at 11:00 am

eoas-seminar at lists.fsu.edu eoas-seminar at lists.fsu.edu
Tue Mar 6 10:20:57 EST 2018

Announcing a seminar for Thursday, March 8 at 11:00 am, room 499 DSL

    Title: “Neural networks applied to data assimilation process”

    Speaker:   Haroldo Fraga de Campos Velho
               Senior Research Scientist
               Sao Jose dos Campos, Brazil


    Data assimilation is an essential process in operational prediction
centers based on the time integration of partial differential equations. The
numerical weather prediction is a very relevant example. The process of data
assimilation is an inverse problem of initial condition identification – called
”analysis” –, combining observations with data from the forecasting mathematical
model. Historically, the mathematical estimation process was started by using the
least square approach. Indeed, all data assimilation schemes in some sense are
based on the least square estimator. We are going to show the time evolution from
the least square approach up tothe  Kalman filter, and beyond - the particle filter, and
one step ahead. The variational method is also a generalized least square
formulation. In the talk, results with several data assimilation methods
emulated by artificial neural networks will be shown. The algorithmic complexity
is reduced by employing neural networks. This is readily realized for 3D atmospheric
models. Two atmospheric general circulation models, SPEED and COAPS-FSU, are
used to demonstrated the data assimilation speed-up with neural networks
emulating the Local Ensemble Transform Kalman Filter (LETKF), and producing a similar

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