| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34P/3KBF7TS | |||
| Repository | sid.inpe.br/mtc-m21b/2015/09.30.16.25 (restricted access) | |||
| Last Update | 2015:09.30.16.27.54 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2015/09.30.16.25.36 | |||
| Metadata Last Update | 2018:06.04.02.55.44 (UTC) administrator | |||
| DOI | 10.1002/2015SW001182 | |||
| ISSN | 1542-7390 | |||
| Citation Key | LimaStepPaulAbdu:2015:PrLeIo | |||
| Title | Prediction of the level of ionospheric scintillation at equatorial latitudes in Brazil using a neural network  | |||
| Year | 2015 | |||
| Month | Aug. | |||
| Access Date | 2024, May 19 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 1300 KiB | |||
| 2. Context | ||||
| Author | 1 Lima, Glauston Roberto Teixeira de 2 Stephany, Stephan 3 Paula, Eurico Rodrigues de 4 Abdu, Mangalathayil Ali | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ9D 3 8JMKD3MGP5W/3C9JH2U 4 8JMKD3MGP5W/3C9JHNK | |||
| Group | 1 LAC-CTE-INPE-MCTI-GOV-BR 2 LAC-CTE-INPE-MCTI-GOV-BR 3 DAE-CEA-INPE-MCTI-GOV-BR 4 DAE-CEA-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 glau11@gmail.com 2 stephan@lac.inpe.br 3 eurico.paula@inpe.br 4 maabdu@dae.inpe.br | |||
| Journal | Space Weather | |||
| Volume | 13 | |||
| Number | 8 | |||
| Pages | 446-457 | |||
| Secondary Mark | B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B2_ASTRONOMIA_/_FÍSICA | |||
| History (UTC) | 2015-09-30 16:25:36 :: simone -> administrator :: 2018-06-04 02:55:44 :: administrator -> simone :: 2015 | |||
| 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 | artificial neural network ionospheric scintillation prediction of occurrence of scintillation | |||
| Abstract | Electron density irregularity structures, often associated with ionospheric plasma bubbles, drive amplitude and phase fluctuations in radio signals that, in turn, create a phenomenon known as ionospheric scintillation. The phenomenon occurs frequently around the magnetic equator where plasma instability mechanisms generate postsunset plasma bubbles and density depletions. A previous correlation study suggested that scintillation at the magnetic equator may provide a forecast of subsequent scintillation at the equatorial ionization anomaly southern peak. In this work, it is proposed to predict the level of scintillation over São Luís (2.52°S, 44.3°W; dip latitude: ~2.5°S) near the magnetic equator with lead time of hours but without specifying the moment at which the scintillation starts or ends. A collection of extended databases relating scintillation to ionospheric variables for São Luís is employed to perform the training of an artificial neural network with a new architecture. Two classes are considered, not strong (null/weak/moderate) and strong scintillation. An innovative scheme preprocesses the data taking into account similarities of the values of the variables for the same class. A formerly proposed resampling heuristic is employed to provide a balanced number of tuples of each class in the training set. Tests were performed showing that the proposed neural network is able to predict the level of scintillation over the station on the evening ahead of the data sample considered between 17:30 and 19:00 LT. Key Points Intended to predict scintillation in the same station with antecedence of hours Employs an artificial neural network to predict the level of scintillation Introduces an innovative preprocessing for the neural network data training. | |||
| Area | COMP | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Prediction of the... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAE > Prediction of the... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | lima_prediction.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2011/03.29.20.55 | |||
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP 8JMKD3MGPCW/3ETL868 | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/09.22.23.14 5 sid.inpe.br/bibdigital/2013/09.29.20.43 2 sid.inpe.br/mtc-m21/2012/07.13.15.00.38 2 | |||
| Dissemination | WEBSCI; SCOPUS. | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||