| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34P/3Q5RT48 | |||
| Repository | sid.inpe.br/mtc-m21b/2017/12.04.14.16 | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2017/12.04.14.16.30 | |||
| Metadata Last Update | 2021:09.16.02.59.27 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | CintraCampCock:2017:SuNeNe | |||
| Title | Supervised neural network for data assimilation on atmospheric general circulation model  | |||
| Year | 2017 | |||
| Access Date | 2024, May 17 | |||
| Secondary Type | PRE CI | |||
| 2. Context | ||||
| Author | 1 Cintra, Rosangela Saher 2 Campos Velho, Haroldo Fraga de 3 Cocke, Steven | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHC3 | |||
| Group | 1 LABAC-COCTE-INPE-MCTIC-GOV-BR 2 LABAC-COCTE-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Florida State University (FSU) | |||
| Author e-Mail Address | 1 2 haroldo.camposvelho@inpe.br | |||
| Conference Name | International WMO Symposium on Data Assimilation, 7 | |||
| Conference Location | Florianópolis, SC | |||
| Date | 11-15 Sept. | |||
| History (UTC) | 2017-12-04 14:32:54 :: simone -> administrator :: 2017 2021-09-16 02:59:27 :: administrator -> simone :: 2017 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Abstract | Data assimilation (DA) is an essential process for the operational prediction centers, due to uncertainties associated to the forecasting model. Supervised artificial neural network (NN) is the DA method applied to an Atmospheric General Circulation Model (AGCM) used in Florida State University (FSU), USA. The NN is trained to have similar performance to the Local Ensemble Transform Kalman Filter (LETKF). The NN is self-configured, as a result of minimizing an optimization problem. There are three factors in the cost function: training error, generalization error, and NN complexity. The optimum solution for the NN configuration is found by using a new meta-heurisc named MCPA (Multi-Particle Collision Algorithm). The DA experiment was carried out on the FSU Global Spectral Model (FSUGSM), a multilevel spectral primitive equation model at resolution T63L27. Similar results for DA are obtained by NN and LETKF, but the NN scheme is dozens times faster than the ensemble method. | |||
| Area | COMP | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Supervised neural network... | |||
| doc Directory Content | there are no files | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP | |||
| Citing Item List | ||||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url versiontype volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||