| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3C643RP |
| Repository | dpi.inpe.br/plutao/2012/06.21.20.41 (restricted access) |
| Last Update | 2012:08.29.18.12.55 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/plutao/2012/06.21.20.41.20 |
| Metadata Last Update | 2018:06.05.00.01.49 (UTC) administrator |
| ISSN | 1994-2060 1997-003X |
| Label | lattes: 5142426481528206 2 HärterCamp:2012:DaAsPr |
| Citation Key | HärterCamp:2012:DaAsPr |
| Title | Data assimiliation procedure by recurrent neural network  |
| Year | 2012 |
| Month | June |
| Access Date | 2024, May 17 |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 221 KiB |
| 2. Context | |
| Author | 1 Härter, Fabrício Pereira 2 Campos Velho, Haroldo Fraga de |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHC3 |
| Group | 1 2 LAC-CTE-INPE-MCTI-GOV-BR |
| Affiliation | 1 Univ Fed Pelotas, Fac Meteorol, Pelotas, RS, Brazil. 2 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 2 haroldo@lac.inpe.br |
| e-Mail Address | haroldo@lac.inpe.br |
| Journal | Engineering Applications of Computational Fluid Mechanics |
| Volume | 6 |
| Number | 2 |
| Pages | 224-233 |
| Secondary Mark | B3_ENGENHARIAS_II B4_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA |
| History (UTC) | 2012-06-22 00:11:01 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012 2012-08-29 18:12:55 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012 2018-06-05 00:01:49 :: administrator -> marciana :: 2012 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | dynamo model data assimilation artificial recurrent neural network Elman neural network extended Kalman filter genetic algorithm initialization model prediction |
| Abstract | Data assimilation is a process to combine a model prediction of a state variable at a given time with a set of measurements available at this particular time in order to obtain a suitable set of data for model initialization. The state of the art in data assimilation techniques are based on Extended Kalman Filter (EKF) and Four-Dimensional Variational Analysis (4D-Var), but this methodology has high computational complexity. In this paper, the authors propose emulating a Kalman filter using a neural network as a proposal to reduce the computational complexity of the problem. This work applies a recurrent neural network paradigm, named Elman Neural Network (E-NN), to the data assimilation problem of a non-linear shallow water model. The performance of E-NN on emulating the Kalman filter (KF) and the evaluation of application of the technique at high dimension problems of operational numerical weather forecasting are analyzed. The results with the shallow water ID dynamics show that E-NN converges faster than standard Multilayer Perceptron Neural Network (MLP-NN) in the training phase, and its computational complexity is less than that of extended Kalman filter. However, there is a loss of accuracy in the results when comparing E-NN to MLP-NN and KF. |
| Area | COMP |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Data assimiliation procedure... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| User Group | administrator lattes secretaria.cpa@dir.inpe.br |
| Reader Group | administrator secretaria.cpa@dir.inpe.br |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 3 sid.inpe.br/bibdigital/2013/09.22.23.14 1 |
| URL (untrusted data) | http://jeacfm.cse.polyu.edu.hk/ |
| Dissemination | PORTALCAPES |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |