| 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/3L8MGM5 | |||
| Repository | sid.inpe.br/mtc-m21b/2016/02.26.17.56 | |||
| Last Update | 2016:02.26.17.57.14 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2016/02.26.17.56.24 | |||
| Metadata Last Update | 2018:06.04.02.40.34 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | CintraCampCock:2016:MuPeDa | |||
| Title | Multilayer perceptron on data assimilation applied to FSU global model  | |||
| Year | 2016 | |||
| Access Date | 2024, May 17 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 938 KiB | |||
| 2. Context | ||||
| Author | 1 Cintra, Rosangela Saher Correa 2 Campos Velho, Haroldo Fraga de 3 Cocke, Steven | |||
| Resume Identifier | 1 8JMKD3MGP5W/3C9JJ75 2 8JMKD3MGP5W/3C9JHC3 | |||
| Group | 1 LAC-CTE-INPE-MCTI-GOV-BR 2 LAC-CTE-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Florida State University | |||
| Author e-Mail Address | 1 rosangela.cintra@inpe.br 2 haroldo@lac.inpe.br 3 scocke@fsu.edu | |||
| Conference Name | International Symposium on Uncertainty Quantification and Stochastic Modeling, 3. (Uncertainties) | |||
| Conference Location | Maresias, SP | |||
| Date | 15-19 Feb. | |||
| Book Title | Proceedings | |||
| History (UTC) | 2016-02-26 17:56:24 :: simone -> administrator :: 2018-06-04 02:40:34 :: administrator -> simone :: 2016 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Keywords | data assimilation artificial neural networks ensemble Kalman filter multilayer perceptron | |||
| Abstract | Numerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs) to predict weather based on current weather conditions. The atmosphere could not be completely described due to inherent uncertainty. These uncertainties limit forecast model accuracy to about five or six days into the future. The process of entering observation data into mathematical model to generate the accurate initial conditions is called data assimilation (DA). This paper shows the results of a DA technique using artificial neural networks (NN) applied to an AGCM used in Florida State University (FSU) in USA. The Local Ensemble Transform Kalman filter (LETKF), a version of Kalman filter with ensembles to represent the model uncertainties, is a traditional DA scheme. We use Multilayer Perceptron data assimilation (MLP-DA) with supervised training algorithm where NN receives input vectors with their corresponding response from LETKF initial conditions. These DA schemes are applied to FSU Global Spectral Model (FSUGSM), a multilevel spectral primitive equation model at resolution T63L27. This data assimilation experiment is based in synthetic observations: surface pressure and upper-air temperature. We use a NN self-configuration method to find the optimal NN parameters to configure the MLP-DA with: four input vector nodes and one output node for the analysis vector. The NNs were trained with data from each month of 2001, 2002, and 2003. The MLP-DA cycle is performed for January 2004. The numerical results demonstrate the effectiveness of the MLP-DA technique for atmospheric data assimilation, since the initial conditions have similar quality to LETKF. The reduced computational cost allows the inclusion of greater number of observations and new data sources and the use of high resolution of models. | |||
| Area | COMP | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Multilayer perceptron on... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3L8MGM5 | |||
| zipped data URL | http://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3L8MGM5 | |||
| User Group | self-uploading-INPE-MCTI-GOV-BR simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | allow from all | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Linking | 8JMKD3MGP3W34P/3K98PDP | |||
| Mirror Repository | urlib.net/www/2011/03.29.20.55 | |||
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/09.22.23.14 4 sid.inpe.br/mtc-m21/2012/07.13.14.49.40 2 sid.inpe.br/mtc-m21/2012/07.13.14.59.36 1 | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarytype type url versiontype volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||